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of this patients develop of acute kidney failure &#40;AKF&#41; and have a 4 times greater risk of developing chronic kidney disease &#40;CKD&#41;&#44;<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">5&#8211;7</span></a> the risk is lower in patients undergoing partial nephrectomies&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">8&#8211;11</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Immediately after radical nephrectomy&#44; different compensatory mechanisms are initiated on the remaining kidney to minimize the decrease in glomerular filtration rate&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Measurement of total renal volume &#40;TRV&#41; using the ellipsoid equation is tool widely used in polycystic kidney disease&#44; being the main predictor of the evolution and prognosis of renal function &#40;RF&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">12&#44;13</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The measurement of the TRV of the remnant kidney before and after radical nephrectomy &#40;after one year of follow-up&#41; in patients with renal neoplasms has not been fully investigated&#44; and certainly it could help to evaluate the evolution of renal function and identity the factors that may affect the change in renal function&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">The objective of this study was to determine the pre and post-nephrectomy TRV in the remaining kidney and its correlation with the estimated glomerular filtration rate &#40;eGFR&#41; at one year of follow-up&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Materials and methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">Observational&#44; retrospective study in a court of adult patients &#40;&#8805;18 years&#41; seen in the nephrology consultations of the Rey Juan Carlos de M&#243;stoles Hospital&#44; during the period between January 2014 and December 2018&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The study population included all patients identified in our center&#39;s database who underwent radical nephrectomy due to renal neoplasm&#44; clear cell carcinoma confirmed by histological analysis&#46; All patients were reevaluated one year after nephrectomy&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Exclusion criteria included&#58; radical nephrectomies for other causes and partial nephrectomies&#46; Those who did not have computerized axial tomography &#40;CT&#41; and&#47;or magnetic resonance imaging &#40;MRI&#41; during follow-up were also excluded&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Demographic&#44; clinical and biochemical parameters were collected in all cases&#46; This information was obtained from the electronic medical records of our institution which included the comorbidities at the time of the nephrectomy &#40;diabetes&#44; peripheral vascular disease&#44; chronic kidney disease&#44; Charlson comorbidity index&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">14</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">Serum creatinine &#40;Cr&#41;&#44; eGFR and quantification of proteinuria were recorded&#44; pre-nephrectomy &#40;up to 2 months before nephrectomy&#41;&#44; at hospital discharge and at one year of follow-up&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Renal function was assessed by calculating the eGFR using the abbreviated formula MDRD-4&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">15</span></a> The laboratory measurements were carried out in the same hospital by conventional methods&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Total renal volume &#40;TRV&#41; was calculated by using the ellipsoid formula in kidney image obtained by CT and&#47;or MRI&#46; The TRV was obtained before nephrectomy &#40;up to 3 months prenephrectomy&#41; and at one year of follow-up&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">Calculation of the TRV &#40;ellipsoid equation&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#960;&#47;6<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>length<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>width<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>thickness&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">To avoid information and selection bias The TRV measurement was carried out by one of the authors who did not have access to clinical or analytical data of the patients&#46; The results of the TRV were compared with the variables of the pre-nephrectomy study and during follow-up&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">The study was done in accordance with the principles of the Declaration of Helsinki&#46; Given the minimal risk nature of the study&#44; we were granted a waiver of informed consent&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Definitions</span><p id="par0085" class="elsevierStylePara elsevierViewall">ARF was defined according to the <span class="elsevierStyleItalic">Kidney Disease Improving Global Outcomes</span> &#40;KDIGO&#41;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">16</span></a> classification&#46; An increase in serum Cr concentration greater than 0&#46;3<span class="elsevierStyleHsp" style=""></span>mg&#47;dl from baseline produced in less than 48<span class="elsevierStyleHsp" style=""></span>h&#44; or a 50&#37; increase in baseline serum Cr during the first 7 days after nephrectomy&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">CKD was defined as an eGFR less than 60<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> for at least 3 months&#46; The eGFR was calculated using the abbreviated formula MDRD-4&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">15</span></a></p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Study design and statistical methods</span><p id="par0095" class="elsevierStylePara elsevierViewall">Data are presented as mean and standard deviation &#40;&#177;SD&#41;&#44; or as median and interquartile ranges &#40;IQR&#41;&#46; To compare discrete variables we use the Chi-square test &#40;or Fisher&#39;s exact&#41;&#46; Student&#39;s &#8220;<span class="elsevierStyleItalic">t</span>&#8221; test for independent samples&#44; or the non-parametric Mann&#8211;Whitney test was used to compare 2 continuous variables&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">The analysis of the variables that are best associated with TRV and renal function at one year of follow-up&#44; we performed univariate and multivariate linear regression models&#44; adjusting the relevant covariates&#46; A <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered statistically significant&#46; Statistical analysis was performed with the IBM SPSS version 21 program &#40;IBM Corp&#46; Armonk&#44; USA&#41;&#46;</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0105" class="elsevierStylePara elsevierViewall">The study group included 47 patients according to the flow chart shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the main characteristics of the patients included in the study&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">A 66&#37; of the patients were men &#40;31&#47;16&#41;&#44; with a median age of 70 years &#40;range&#58; 44&#8211;88&#41;&#46; The diameter of the tumor was 6&#46;6<span class="elsevierStyleHsp" style=""></span>cm &#40;range&#58; 2&#46;2&#8211;8&#46;8&#41;&#46; Left nephrectomy was performed in 51&#37; of patients &#40;24&#47;23&#41;&#46; Prenephrectomy Crs and eGFR were 0&#46;9<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;0&#46;6&#8211;1&#46;8&#41; and 78<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> &#40;40&#8211;100&#41; respectively&#46; The pre-nephrectomy TRV was 168&#46;2<span class="elsevierStyleHsp" style=""></span>ml &#40;100&#46;4&#8211;257&#46;2&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0120" class="elsevierStylePara elsevierViewall">Thirty-five patients &#40;70&#46;6&#37;&#41; met criteria of ARF after nephrectomy&#44; the majority AKIN 1 &#40;77&#37; &#91;27&#47;35&#93;&#41;&#46; Of the 4 patients who had chronic kidney disease at the time of nephrectomy&#44; only one developed ARF&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">During the follow-up period&#44; 6 patients &#40;13&#37;&#41; received adjuvant therapy &#40;antiangiogenic drugs&#58; pazopanib &#91;3&#93;&#44; axitinib &#91;1&#93;&#59; immunotherapy with nivolumab &#91;2&#93;&#41;&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the evolution of pre-nephrectomy quantitative variables and the values at one year of follow up&#46; The eGFR decreased significantly from 78 &#40;range 40&#8211;100&#41; to 53&#46;3<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> &#40;range&#44; 20&#8211;90&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; this was associated with an increase in serum Cr from 0&#46;97 &#40;0&#46;6&#8211;1&#46;7&#41; to 1&#46;3<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;0&#46;7&#8211;1&#46;9&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; The pre-nephrectomy TRV increased significantly after one year of follow-up&#44; from 168&#46;2<span class="elsevierStyleHsp" style=""></span>ml &#40;100&#46;4&#8211;257&#46;2&#41; to 187&#46;8<span class="elsevierStyleHsp" style=""></span>ml &#40;115&#46;5&#8211;273&#46;1&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">No significant differences were observed in the body mass index after one year of follow-up&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the results of univariate and multivariate linear regression&#46; The results are the best equation that determine the total renal volume after one year of follow-up&#46; It was found a positive correlation with eGFR pre-nephrectomy &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;62&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;034&#41; and TRV pre-nephrectomy &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;08&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;0001&#41;&#44; while with eGFR at one year the correlation was negative &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;1&#46;18&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;047&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0145" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> shows the multivariate linear regression analysis of variables that influenced the eGFR at one year of follow-up&#46; A positive correlation was observed with respect to the pre-nephrectomy TRV &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;114&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;028&#41; and negative with the TRV after one year of follow up &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;360&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0150" class="elsevierStylePara elsevierViewall">At one year of follow-up&#44; 60&#37; of the patients &#40;28&#47;47&#41; had developed CKD&#59; the most frequent was CKD stage 3A &#40;70&#37; &#91;20&#47;28&#93;&#41;&#46; No patient required renal replacement therapy in the postoperative period or at one year of follow-up&#46; Regarding the use of ACE inhibitors and ARB-2 after nephrectomy&#44; treatment was temporarily suspended in 26&#37; of the patients &#40;9&#47;35&#41; who developed ARF&#44; at the end of the study and a 92&#37; of these patients continued on treatment with ACEI&#47;ARA-2&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0155" class="elsevierStylePara elsevierViewall">The results of this study show that there is a positive correlation between pre and post-nephrectomy TRV and the pre-nephrectomy eGFR&#46; However&#44; surprisingly&#44; the eGFR and TRV at one year of follow-up had a negative correlation&#46; This finding contrasts with our current knowledge based on previous studies&#44; which have shown that the loss of 50&#37; of the renal mass after radical nephrectomy initiates compensatory mechanisms early in an attempt to alleviate the decrease in glomerular filtration rate&#46; However&#44; these mechanisms can be modified depending on age&#44; tobacco consumption&#44; obesity&#44; hypoalbuminemia&#44; the development of post-nephrectomy acute renal failure&#44; which will ultimately determine the evolution of renal function and the risk of progression to CKD&#46;<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">17&#8211;19</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">Whether the compensation mechanisms after nephrectomy in the renal oncological context are different from those observed in other clinical situations remains to be elucidated&#46; Thus&#44; some studies have found a negative correlation between renal function and size of the tumor&#44; especially in tumors larger than 5<span class="elsevierStyleHsp" style=""></span>cm&#46;<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">20&#44;21</span></a> In our cohort&#44; the median tumor diameter was 6<span class="elsevierStyleHsp" style=""></span>cm&#44; which may have influenced on the negative correlation of post-nephrectomy renal function&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">The evolution of renal function after the loss of renal mass in the nephrectomized population behaves differently&#44; depending on the etiology that determines the removal&#46; In living kidney transplant donor patients&#44; it appears that there is no significant loss of kidney function during follow-up&#44;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">22</span></a> whereas in nephrectomized patients for reasons other than donation&#44; the results are variable&#46; Nephrectomized patients for non-neoplastic causes maintain renal function many years after nephrectomy&#44; especially in a young population without major comorbidities&#46; In contrast&#44; other published series show worse results with progressive deterioration of renal function and development of proteinuria and progression to CKD&#46;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">23</span></a></p><p id="par0170" class="elsevierStylePara elsevierViewall">The TRV measured by the ellipsoid equation is an easy-to-use tool thanks to the availability of imaging tests &#40;CT and&#47;or MRI&#41;&#44; being the most important biomarker that determine the evolution and prognosis of the function in patients with polycystic kidney disease&#46;<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">12&#44;13</span></a> Here&#44; an inverse correlation is also observed between TRV and renal function over time&#46; Although in these cases of polycystic kidney disease there is a clear explanation&#44; due to the increase in cysts in number and volume with compression of the rest of the nephrons &#40;decrease in renal mass&#41; and interstitial fibrosis&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">In this study we have tried to relate the volume of the remaining kidney before and after nephrectomy with renal function at one year of follow-up in a population with renal neoplasia&#46;</p><p id="par0180" class="elsevierStylePara elsevierViewall">Given the fact that serum Cr and eGFR may remain normal even with 50&#37; kidney damage&#44;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">24</span></a> it is necessary to implement and search for new more sensitive markers capable to detect early which patients after radical nephrectomy for renal neoplasms are more susceptible to a poor evolution of kidney function and progression to CKD&#46; Our results suggest that the measurement of TRV before and after nephrectomy in the remaining kidney could identify early those patients at risk of developing CKD&#44; being probably a more significant parameter to consider when renal damage is subclinical&#44; being useful as a possible biomarker that provides relevant information on the evolution of renal function in this group of patients&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">This study has potential limitations&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1&#46;</span><p id="par0190" class="elsevierStylePara elsevierViewall">First&#44; due to the short follow-up&#44; the long-term evolution of renal function cannot be determined&#44; so a longer follow-up would be necessary to evaluate the natural course of renal function in this group of patients&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2&#46;</span><p id="par0195" class="elsevierStylePara elsevierViewall">Second&#44; the measurement of total renal volume with CT and&#47;or renal MRI in a non-protocolized manner could have altered the results&#44; associated with the measurement by a single observer that may cause an information bias&#46;</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3&#46;</span><p id="par0200" class="elsevierStylePara elsevierViewall">Third&#44; 24-h creatinine clearance was not available&#44; which would have helped and provided more information with a better assessment and evolution of eGFR in this group of patients since the different formulas for measuring eGFR in this group of patients are not fully validated&#46; The disadvantage of obtaining creatinine clearance is the difficulty in obtaining urine samples and the great variability of creatinine metabolism in various clinical settings&#46;</p></li></ul></p><p id="par0205" class="elsevierStylePara elsevierViewall">Although this study has drawbacks and limitations&#44; and only included a relatively small number of patients&#44; it is a homogeneous series from a single center in a disease that is increasing&#44; which helps to understand that the measurement of total renal volume before and after nephrectomy sing the ellipsoid equation can represent a sensitive method to determine the early evolution of renal function and the compensatory capacity of the remaining kidney after radical nephrectomy for renal neoplasms&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conclusions</span><p id="par0210" class="elsevierStylePara elsevierViewall">The conclusions generated from this study may be limited by its retrospective nature&#44; however&#44; they serve to demonstrate that the measurement of pre and post-nephrectomy TRV in the remaining kidney &#40;year of follow-up&#41; using the ellipsoid equation in nephrectomized patients due to renal neoplasms is strongly correlated with the evolution of the eGFR at one year of follow-up&#46; These determinants may be useful to assess and monitor renal function and the compensatory capacity of the remaining kidney&#46; Additional studies are necessary to determine the compensation mechanisms and prognostic factors of the population nephrectomized due to renal neoplasms&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Key concepts</span><p id="par0215" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">&#8226;</span><p id="par0220" class="elsevierStylePara elsevierViewall">Nephrectomies for renal neoplasms are a frequent cause of acute renal failure and chronic kidney disease&#44; on the rise in recent years&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">&#8226;</span><p id="par0225" class="elsevierStylePara elsevierViewall">The evolution and behavior of renal function in nephrectomized patients for renal neoplasms may be different from other non-neoplastic causes&#46;</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">&#8226;</span><p id="par0230" class="elsevierStylePara elsevierViewall">Measurement of TRV in the remaining kidney in nephrectomized patients for renal neoplasms may be useful to assess the evolution of renal function&#46;</p></li></ul></p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Conflict of interests</span><p id="par0235" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflict of interest related to the publication of this article&#46;</p></span></span>"
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            1 => "Neoplasias renales"
            2 => "Volumen renal total"
          ]
        ]
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    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The reduction of renal mass after radical nephrectomy &#40;RN&#41; for renal neoplasm&#44; could be associated with compensatory hypertrophy of the contralateral kidney&#46; The capacity of compensation will determine the renal function &#40;RF&#41; evolution&#46; Measuring of total renal volume &#40;TRV&#41; of the remaining kidney pre and post RN can help assess the RF evolution&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objectives</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To determine the correlation between TRV pre and post nephrectomy &#40;a year of follow-up&#41; with RF&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Materials and methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A retrospective cohort study was carried out in 47 patients who had undergone RN from 2014 to 2018&#44; due to renal cell carcinoma &#40;confirmed by histopathology&#41;&#46;</p><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The TRV was calculated&#44; pre and post &#40;a year of follow-up&#41; RN&#44; using ellipsoid formula equation&#44; which were compared with clinical and analytical data&#46; The results were analyzed by multivariate linear logistic models&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">The median age at the time of RN was 70 years old &#40;range&#44; 40&#8211;88 years&#41;&#46; Most of them were men&#44; 66&#37;&#46; The estimated glomerular filtration rate &#40;eGFR&#41; pre and post nephrectomy was 78 &#40;40&#8211;100&#41; and 53&#46;3<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;m<span class="elsevierStyleSup">2</span> &#40;30&#8211;90&#41; respectively &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#46; The TRV pre and post-nephrectomy was 168&#46;2<span class="elsevierStyleHsp" style=""></span>ml &#40;100&#46;4&#8211;257&#46;2&#41; and 187&#46;8<span class="elsevierStyleHsp" style=""></span>ml &#40;115&#46;5&#8211;273&#46;1&#41; respectively &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">The pre-nephrectomy eGFR &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;62&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;034&#41; and the TRV &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;08&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;0001&#41; were positively correlated with the post-nephrectomy TRV&#44; while the eGFR at year of follow-up was correlated negatively &#40;<span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;1&#46;18&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;047&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">The measurement of pre and post nephrectomy TRV can help to predict renal function evolution at a year of follow-up&#46;</p></span>"
        "secciones" => array:5 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Introduction"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Objectives"
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          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Materials and methods"
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          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Results"
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            "identificador" => "abst0025"
            "titulo" => "Conclusions"
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      "es" => array:3 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introducci&#243;n</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La reducci&#243;n de la masa renal tras la nefrectom&#237;a radical en pacientes con neoplasias renales puede producir la hipertrofia compensadora del ri&#241;&#243;n contralateral&#46; La capacidad de compensaci&#243;n determinar&#225; la evoluci&#243;n de la funci&#243;n renal&#46; La medici&#243;n del volumen renal total &#40;VRT&#41; del ri&#241;&#243;n remanente antes y despu&#233;s de la nefrectom&#237;a puede ayudar a evaluar la evoluci&#243;n de la funci&#243;n renal&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivos</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Determinar la correlaci&#243;n entre el VRT pre y posnefrectom&#237;a con la funci&#243;n renal al a&#241;o de seguimiento&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Materiales y m&#233;todos</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Estudio retrospectivo de observaci&#243;n en 47 pacientes adultos con neoplasias renales que fueron sometidos a nefrectom&#237;a radical&#46; El VRT pre y posnefrectom&#237;a &#40;al a&#241;o de seguimiento&#41; fue calculado mediante la ecuaci&#243;n de la elipsoide &#40;TAC y&#47;o RNM&#41;&#44; que fueron comparados con datos cl&#237;nicos y anal&#237;ticos&#46; Los resultados fueron analizados mediante regresi&#243;n lineal uni y multivariante&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">La mediana de edad al momento de la nefrectom&#237;a fue de 70 a&#241;os &#40;44-88&#41;&#46; La mayor&#237;a fueron hombres &#40;66&#37;&#41;&#46; El filtrado glomerular estimado &#40;FGe&#41; pre y posnefrectom&#237;a fue de 78 &#40;40-100&#41; y 53&#44;3<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;m<span class="elsevierStyleSup">2</span> &#40;20-90&#41; respectivamente &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;01&#41;&#46; El VRT pre y posnefrectom&#237;a fue de 168&#44;2<span class="elsevierStyleHsp" style=""></span>ml &#40;100&#44;4-257&#44;2&#41; y 187&#44;8<span class="elsevierStyleHsp" style=""></span>ml &#40;115&#44;5-273&#44;1&#41; respectivamente &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41;&#46;</p><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">El FGe prenefrectom&#237;a &#40;&#946;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;62&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;034&#41; y el VRT pre &#40;&#946;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44;08&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;0001&#41; se correlacionaron positivamente con el VRT posnefrectom&#237;a&#46; Sin embargo&#44; el FGe al a&#241;o se correlacion&#243; negativamente &#40;&#946;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8211;1&#44;18&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;047&#41;&#46;</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusiones</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">En pacientes con neoplasias renales tratados con nefrectom&#237;a radical la medici&#243;n del VRT pre y posnefrectom&#237;a pueden ayudar a predecir la evoluci&#243;n de la funci&#243;n renal al a&#241;o de seguimiento&#46;</p></span>"
        "secciones" => array:5 [
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            "identificador" => "abst0030"
            "titulo" => "Introducci&#243;n"
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          1 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Objetivos"
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          2 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Materiales y m&#233;todos"
          ]
          3 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Resultados"
          ]
          4 => array:2 [
            "identificador" => "abst0050"
            "titulo" => "Conclusiones"
          ]
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      ]
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      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Please cite this article as&#58; Pampa-Saico S&#44; Alexandru S&#44; Pizarro-S&#225;nchez MS&#44; L&#243;pez-Picasso M&#44; Puente-Su&#225;rez LG&#44; Barba R&#44; et al&#46; Volumen renal total y funci&#243;n renal en pacientes nefrectomizados por neoplasias renales&#46; Nefrologia&#46; 2021&#59;41&#58;446&#8211;452&#46;</p>"
      ]
    ]
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      0 => array:7 [
        "identificador" => "fig0005"
        "etiqueta" => "Fig&#46; 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 1960
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        "descripcion" => array:1 [
          "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Flowchart of the study population&#46;</p>"
        ]
      ]
      1 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "detalles" => array:1 [
          0 => array:3 [
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          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">ARA2&#58; angiotensin 2 receptor antagonists&#59; CKD&#58; chronic kidney disease&#59; eGFR&#58; estimated glomerular filtration rate&#59; ACEI&#58; angiotensin converting enzyme inhibitors&#59; IQR&#58; interquartile range&#46;</p><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Data are presented as median &#40;interquartile range&#41;&#44; unless otherwise specified&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Number of patients&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">47&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age at the time of nephrectomy&#44; years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">70 &#40;44&#8211;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sex&#44; male&#47;female &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#47;16 &#40;66&#47;34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Charlson index&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;3&#8211;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Body mass index&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28 &#40;21&#8211;51&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Smoking&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31 &#40;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HTN&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29 &#40;61&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes mellitus&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14 &#40;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesity&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;32&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hx of Cardiovascular disease&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Baseline serum creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;9 &#40;0&#46;6&#8211;1&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">eGFR&#44; ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78 &#40;40&#8211;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Previous CKD&#44; <span class="elsevierStyleItalic">n</span>&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;8&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Proteinuria&#44; <span class="elsevierStyleItalic">n</span>&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Kidney size&#44; cm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;6 &#40;2&#46;2&#8211;8&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Use of ACEI&#47;ARB-2&#44; <span class="elsevierStyleItalic">n</span>&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27 &#40;61&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">characteristics of the study group &#40;pre-nephrectomy&#41;&#46;</p>"
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          "leyenda" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">eGFR&#58; estimated glomerular filtration rate&#59; BMI&#58; body mass index&#59; IQR&#58; interquartile range&#59; TRV&#58; total renal volume&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Prenephrectomy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Postnephrectomy &#40;year of follow-up&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">TRV&#44; ml &#40;IQR&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">168&#46;2 &#40;100&#46;4&#8211;257&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">187&#46;8 &#40;115&#46;5&#8211;273&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Serum creatinine&#44; mg&#47;dl &#40;IQR&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;97 &#40;0&#46;6&#8211;1&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;3 &#40;0&#46;7&#8211;1&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">EGFR&#44; ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> &#40;IQR&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78 &#40;40&#8211;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#46;3 &#40;20&#8211;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI &#40;IQR&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28 &#40;21&#8211;51&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;4 &#40;21&#8211;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Proteinuria&#44; mg&#47;day &#40;IQR&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#46;6 &#40;0&#8211;132&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60 &#40;0&#8211;1000&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HTN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;039&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "leyenda" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">R<span class="elsevierStyleSup">2</span> &#40;corrected&#41;&#58; 0&#46;865&#46;</p><p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">eGFR&#58; estimated glomerular filtration rate&#59; CI&#58; confidence interval&#59; BMI&#58; body mass index&#59; TRV&#58; total renal volume&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t" scope="col">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Univariate analysis</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Multivariate analysis</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span> Coefficient &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span> Coefficient &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age&#44; years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;1&#46;11 &#40;&#8722;2&#46;77&#44; 0&#46;55&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;187&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;54 &#40;&#8722;1&#46;29&#44; 0&#46;21&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;145&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sex&#44; man&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;35&#46;91 &#40;&#8722;72&#46;15&#59; 0&#46;31&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;052&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;52 &#40;&#8722;13&#46;13&#59; 22&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;587&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Charlson comorbidity index&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;54 &#40;&#8722;5&#46;37&#44; 18&#46;46&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;270&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&#46;82 &#40;&#8722;33&#46;10&#44; 50&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;669&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI pre-nephrectomy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;84 &#40;&#8722;2&#46;16&#44; 5&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;351&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI at one year of follow-up&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;13 &#40;&#8722;2&#46;06&#44; 6&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;304&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Size of kidney tumor&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;1&#46;02 &#40;&#8722;10&#46;46&#44; 0&#46;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;822&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HTN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&#46;06 &#40;&#8722;0&#46;64&#44; 69&#46;48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;046&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;1&#46;99 &#40;&#8722;22&#46;85&#44; 18&#46;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;534&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pre-nephrectomy TRV&#44; ml&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;955 &#40;0&#46;78&#44; 1&#46;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;086 &#40;1&#46;034&#8211;1&#46;238&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pre-nephrectomy eGFR &#40;ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;598 &#40;&#8722;1&#46;595&#59; 0&#46;066&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;069&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;627 &#40;0&#46;052&#8211;1&#46;202&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">eGFR at hospital discharge&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;683 &#40;&#8722;1&#46;57&#44; 2&#46;93&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;180&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">eGFR at one year of follow-up&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;765 &#40;&#8722;1&#46;59&#59; 0&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;086&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;1&#46;188 &#40;&#8722;1&#46;18&#59; &#8722;0&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;047&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pre-nephrectomy proteinuria&#44; mg&#47;dl&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;889 &#40;&#8722;0&#46;67&#44; 0&#46;24&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;252&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Proteinuria at one year of follow-up&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;271 &#40;&#8722;0&#46;44&#44; 0&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;672&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Variables that influenced the total renal volume at one year of follow-up &#40;univariate and multivariate linear regression analysis&#41;&#46;</p>"
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            "identificador" => "at4"
            "detalle" => "Table "
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        "tabla" => array:2 [
          "leyenda" => "<p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">Variables that did not enter in the best prediction equation&#58; Charlson comorbidity index &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;10&#41;&#44; albumin&#44; proteinuria at one year of follow-up&#44; tumor size&#44; ACEI-ARA-2 &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;2&#41;&#46;</p><p id="spar0125" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span> corrected&#58; 0&#46;687&#46;</p><p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">eGFR&#58; estimated glomerular filtration rate&#59; BMI&#58; body mass index&#59; TRV&#58; total renal volume&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span> Coefficient &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age&#44; years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;021 &#40;&#8722;5&#46;28&#44; 0&#46;48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;93&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pre-nephrectomy eGFR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;338 &#40;&#8722;0&#46;21&#44; 0&#46;69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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