<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.110214.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Effects of bariatric surgery on renal function and associated factors with bivariate analysis: a cohort study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Amaro Borborema Bezerra</surname>
                        <given-names>Juliana</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0785-4493</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Pachu Raia dos Santos</surname>
                        <given-names>Eduardo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Teixeira Brandt</surname>
                        <given-names>Carlos</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Faculty of Medical Sciences - UNIFACISA, CAMPINA GRANDE, Brazil</aff>
                <aff id="a2">
                    <label>2</label>Endoscopic and Obesity Surgery Institution &#x2013; ICOEP, Campina Grande, Brazil</aff>
                <aff id="a3">
                    <label>3</label>Federal University of Pernambuco, Recife, Brazil</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:fernanda.lucia01ufcg@hotmail.com">fernanda.lucia01ufcg@hotmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>4</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>409</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>3</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Amaro Borborema Bezerra J et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-409/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Obesity is a global pandemic, caused by genetic, biological and social factors, increasing the risk of many chronic diseases, including kidney disease. Bariatric surgery can control associated comorbidities and also improve renal function. Thus, the aim of this study was to evaluate the effect of bariatric surgery on renal function and associated factors, through bivariate analysis.</p>
                <p>
                    <bold>Methods:</bold> A cohort, prospective, analytical study was carried out in the Department of surgery and obesity, in Campina Grande - Para&#x00ed;ba, Brazil. Thirty-five obese patients were evaluated in the preoperative period of bariatric surgery and after one year of bariatric surgery. Sociodemographic and anthropometric data were collected, body mass index was calculated, and renal function was estimated through the glomerular filtration rate.</p>
                <p>
                    <bold>Results:</bold> Predominantly female (71.4%) and white (77.1%) patients were observed. Regarding the type of bariatric surgery, most patients (65.7%) underwent the sleeve technique. There was no significant difference between the mean levels of cystatin C pre and post bariatric surgery. There was a significant improvement in the mean glomerular filtration rates in the postoperative period (p=0.09). In further analysis of the association between the variables: type of bariatric surgery, diabetes or hypertension outcomes, no association was observed with the outcome improvement in glomerular filtration rate, without statistical significance, respectively (p = 0.312; p =0.217; p = 0.476). Similarly, there was no statistically significant difference between the variable loss of body mass index, under the effect of bariatric surgery, in relation to the outcome of the glomerular filtration rate (p = 0.904).</p>
                <p>
                    <bold>Conclusion:</bold> After analyzing the association between outcome of glomerular filtration rate and the studied variables, no association was observed between these variables, under the effect of bariatric surgery, with improvement in glomerular filtration rate. Thus, bariatric surgery is associated with improvement of renal function independently.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Obesity</kwd>
                <kwd>Bariatric surgery</kwd>
                <kwd>Glomerular filtration rate</kwd>
                <kwd>Cystatin C</kwd>
                <kwd>Renal function</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Obesity is a global pandemic related to excessive adiposity and mediated by inflammation, with long-term damage that impairs the quality of life of obese people.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> It may affect all age groups and ethnicities in many countries.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>Adopted life-style and genetic factors are related to the genesis of obesity and associated with an increase in cancer, cardiovascular diseases, blood hypertension, type 2 diabetes mellitus (DM) and chronic kidney disease (CKD).
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>The causes of obesity-related renal impairment are multifactorial, ranging from the deleterious mechanisms of obesity-associated comorbidities in the kidneys, as well as the production of adiponectin by adipose tissue. In addition to weight gain itself with deleterious renal action leading to the onset or worsening of CKD.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>Other mechanisms for the onset of kidney injury in obesity involve oxidative stress, activation of the renin-angiotensin-aldosterone system and insulin resistance.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>Bariatric surgery has become the main method for controlling morbidities associated with obesity, with adequate glycemic and blood pressure control, in addition to promoting sustained weight loss.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
            </p>
            <p>The effect of bariatric surgery on the renal function is a subject of intensive research. In most studies, one can observe, after bariatric surgery, an improvement of glomerular filtration rate (GFR) and in preventing the onset of CKD and its progression. But in other papers, the improvement of kidney function is not so clear.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
            </p>
            <p>The aim of this study was to evaluate the impact of bariatric surgery on patients' renal function and associated factors through a bivariate analysis, corroborating the findings of improvement in GFR in most studies.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Study design</title>
                <p>A cohort, prospective, analytical study was carried out in a Department of surgery and obesity, in Campina Grande - Para&#x00ed;ba, Brazil, between February 2019 and August 2020. The study was approved by the Ethics and Research Committee of the Faculty of Medical Sciences - UNIFACISA - Campina Grande - Para&#x00ed;ba, Brazil, registration number - 79501417.0.0000.5175. All patients gave written informed consent before inclusion.</p>
            </sec>
            <sec id="sec4">
                <title>Sample size</title>
                <p>The sampling process took place in a non-probabilistic way. To calculate the sample size, the free software G*Power version 3.1.9.7 (RRID:SCR_013726, 
                    <ext-link ext-link-type="uri" xlink:href="http://www.gpower.hhu.de/">http://www.gpower.hhu.de/</ext-link>); was used, with a significance level of 0.05 and a test power commonly used in the literature equal to 0.80. The existence of an average effect size equal to 0.5 was also considered. The minimum number of patients estimated for the research were 34. Sixty-five patients were recruited to participate in this research.</p>
            </sec>
            <sec id="sec5">
                <title>Inclusion and exclusion criteria</title>
                <p>Obese individuals undergoing bariatric surgery were included in this study. Those with microalbuminuria &#x2265; 30 mg/g were excluded, to avoid previous kidney disease, and patients with thyroid disease were excluded too. Hyperthyroidism has been shown to increase, while hypothyroidism is shown to decrease cystatin C serum concentrations, the reason why participants with thyroid disease were excluded in this study.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec6">
                <title>Procedures</title>
                <p>All the patients were evaluated using a form regarding sociodemographic characteristics (age, gender, ethnicity, schooling and health insurance), comorbidities (pre-existing diseases) and types of surgery they would undergo. At the same time, blood pressure, weight and height were measured. The body mass index (BMI) was calculated by weight (kilograms), divided by height (by meter squared).
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                </p>
                <p>Later, blood samples were collected to measure serum creatinine and cystatin C. The cystatin C was measured by nephelometry and calibrated to recent cystatin C standardization, with a result expressed in mg/L. This is an endogenous marker of glomerular filtration rate (GFR) for renal function due to its high sensitivity and specificity and it is not influenced by the weight loss.
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> The GFR was estimated using Nefrocalc version 2.0 (
                    <ext-link ext-link-type="uri" xlink:href="http://www.nefrocalc.net/filtracao-7.html">http://www.nefrocalc.net/filtracao-7.html</ext-link>) through the Chronic Kidney Disease Epidemiology (CKD-Epi) collaboration equation creatinine-cystatin C and corrected for the corresponding body surface.
                    <sup>
                        <xref ref-type="bibr" rid="ref30">30</xref>
                    </sup> Hypofiltration was defined by GFR &lt; 90 mL/min/1.73 m
                    <sup>2</sup>, normal GFR ranged between 90 and 120 mL/min/1.73 m
                    <sup>2</sup> and hyperfiltration was defined by GFR &gt; 120mL/min/1.73 m
                    <sup>2</sup>.
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup>
                </p>
                <p>Only 35 patients could be re-evaluated one year after the bariatric surgery. The others refused to undergo any type of re-evaluation because of the Covid-19 pandemic. Therefore, only 35 patients were able to continue in this cohort study out of a total of 65 obese patients were included initially.</p>
            </sec>
            <sec id="sec7">
                <title>Statistical methods</title>
                <p>Quantitative variables were expressed as means &#x00b1; standard deviation. Qualitative variables were expressed by their absolute and relative frequencies. p &#x2264; 0.05 was established for rejection of the null hypothesis.</p>
                <p>In order to investigate the effect of bariatric surgery on means (pre-surgery 
                    <italic toggle="yes">vs</italic> post-surgery), Student's t test for paired samples was applied. In the case of variables that did not meet the normality assumption, the bootstrapping procedure (1000 re-samplings; 95% CI) was performed to obtain greater reliability of the results. Similarly, one-way ANOVA with bootstrapping correction was applied in order to verify a possible influence of the GFR outcome (remained, improved or worsened GFR between pre-surgery and post-surgery) on the mean effects of loss of BMI (loss of BMI = BMI (pre-surgery) &#x2013; BMI (post-surgery)). In the case of dichotomous variables, McNemar's test was performed. Fisher's exact test was used to investigate the association between variables created in order to express the effect of bariatric surgery. Such variables were: GFR outcome, type of diabetes outcome (DM: remained non-diabetic, improved or remained diabetic) and type of hypertension outcome (Hypertension: remained non-hypertensive, improved or remained hypertensive).</p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="results">
            <title>Results</title>
            <p>Predominantly, female (71.4%) and white (77.1%) patients were observed in this study. All had high school education and health insurance. The mean time of follow-up was 16.2 &#x00b1; 2.6 months. Ages ranged from 24.0 to 57.0 years. Regarding the type of bariatric surgery, most underwent the sleeve type (65.7%).</p>
            <p>In the preoperative bariatric surgery, it was observed that 31.4% were diabetic patients and 40.0% were hypertensive patients. In the postoperative surgery, among the patients with hypertension and diabetes, the majority of obese patients obtained control. Of the total of 11 pre-surgery diabetic patients, seven were no longer diabetic, and of the total of 14 pre-surgery hypertensive patients, 12 became non-hypertensive post-surgery (
                <xref ref-type="table" rid="T1">Table 1</xref>).</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Morbidity measured pre and post bariatric surgery.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="6" rowspan="1" valign="middle">Diabetes</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="2" rowspan="1" valign="middle">Post-surgery</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Diabetic</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Non-diabetic</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Total</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">p
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">
                                <bold>Pre-surgery</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Diabetic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (11.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7 (20.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (31.4%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Non-diabetic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (68.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (68.6%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (11.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">31 (88.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35 (100.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt; 0.05</td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="6" rowspan="1" valign="middle">Hypertension</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="2" rowspan="1" valign="middle">Post-surgery</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle"/>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Hypertensive</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Non-hypertensive</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Total</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">p
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">
                                <bold>Pre-surgery</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Hypertensive</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12 (34.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14 (40.0%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Non-hypertensive</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (60.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (60.0%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33 (94.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35 (100.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt; 0.001</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>McNemar's test. Binomial distribution used.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>In the post bariatric surgery there was a significant reduction in the mean abdominal circumference (p &lt; 0.0001) and in the mean BMI in postoperative period of bariatric surgery (p &lt; 0.0001) (
                <xref ref-type="table" rid="T2">Table 2</xref>). No significant difference was observed between the mean levels of cystatin C pre and post bariatric surgery (p = 0.094) (
                <xref ref-type="table" rid="T2">Table 2</xref>). There was a significant improvement in glomerular filtration rates in obese patients undergoing bariatric surgery (
                <xref ref-type="table" rid="T2">Table 2</xref>) (
                <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Clinical markers measured pre and post bariatric surgery.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Pre-surgery Mean &#x00b1; SD</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Post-surgery Mean &#x00b1; SD</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">p</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">d of Cohen</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">BMI (kg/m
                                <sup>2</sup>)
                                <xref ref-type="table-fn" rid="tfn2">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40.3 &#x00b1; 5.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">29.5 &#x00b1; 4.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.0001
                                <xref ref-type="table-fn" rid="tfn3">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.37</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Glomerularfiltrationrate (mL/min/1.73 m
                                <sup>2</sup>)
                                <xref ref-type="table-fn" rid="tfn4">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">91.9 &#x00b1; 17.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.5 &#x00b1; 14.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.009
                                <xref ref-type="table-fn" rid="tfn3">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.47</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Abdominal circumference (cm)
                                <xref ref-type="table-fn" rid="tfn5">****</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">120.7 &#x00b1; 17.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.6 &#x00b1; 14.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.0001
                                <xref ref-type="table-fn" rid="tfn6">*****</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Cystatin C (mg/L)
                                <xref ref-type="table-fn" rid="tfn7">******</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.83 &#x00b1; 0.196</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.77 &#x00b1; 0.126</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.094
                                <xref ref-type="table-fn" rid="tfn6">*****</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.29</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn2">
                            <label>*</label>
                            <p>BMI: body mass index kg/m
                                <sup>2</sup> (kilograms per square meter);</p>
                        </fn>
                        <fn id="tfn3">
                            <label>**</label>
                            <p>paired t test with bootstrapping procedure;</p>
                        </fn>
                        <fn id="tfn4">
                            <label>***</label>
                            <p>GFR: Glomerular filtration rate mL/min/1.73 m
                                <sup>2</sup> (milliliters per minute per1.73 square meters);</p>
                        </fn>
                        <fn id="tfn5">
                            <label>****</label>
                            <p>Abdominal circumference cm (centimeters);</p>
                        </fn>
                        <fn id="tfn6">
                            <label>*****</label>
                            <p>paired t test;</p>
                        </fn>
                        <fn id="tfn7">
                            <label>******</label>
                            <p>Cystatin C mg/L (milligrams per liter); SD: Standard Deviation.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>**p &lt; .001. paired t test with bootstrapping procedure.</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/121793/ed476b9c-b5f1-47a0-8ea7-68e4bee822bf_figure1.gif"/>
            </fig>
            <p>On analyzing the association between the outcome of the variables: type of bariatric surgery, diabetes outcome and hypertension outcome, no association was observed with the outcome improvement in GFR, under the effect of bariatric surgery, without statistical significance, respectively (p = 0.312; p = 0.217; p = 0.476) (
                <xref ref-type="table" rid="T3">Table 3</xref>).</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>Relationship between the outcome of the Glomerular Filtration Rate (GFR) and the outcome of some variables under the effect of bariatric surgery.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="middle"/>
                            <th align="left" colspan="1" rowspan="2" valign="middle"/>
                            <th align="left" colspan="3" rowspan="1" valign="middle">GFR</th>
                            <th align="left" colspan="1" rowspan="2" valign="middle">Total</th>
                            <th align="left" colspan="1" rowspan="2" valign="middle">p
                                <xref ref-type="table-fn" rid="tfn8">*</xref>
                            </th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Remained</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Improved</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Worsened</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="middle">
                                <bold>Types of surgery</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Bypass</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                            <td align="left" colspan="1" rowspan="4" valign="middle">0.312</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">91.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8.3%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Sleeve</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17.4%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">65.2%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17.4%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="7" valign="middle">
                                <bold>Diabetes</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Remained non-diabetic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24</td>
                            <td align="left" colspan="1" rowspan="6" valign="middle">0.217</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">75.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8.3%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Improved</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">85.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14.3%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Remained diabetic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="7" valign="middle">
                                <bold>Hypertension</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Remained non-hypertensive</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21</td>
                            <td align="left" colspan="1" rowspan="6" valign="middle">0.476</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.5%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">81.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.5%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Improved</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">66.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Remained hypertensive</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="2" valign="middle">
                                <bold>Total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35</td>
                            <td colspan="1" rowspan="2"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11.4%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">74.3%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14.3%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0%</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn8">
                            <label>*</label>
                            <p>Fisher's exact test.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>There is an indication that bypass surgery tends to lead a greater number of patients to an improvement in the GFR (91.7%), although this result is not statistically significant (p = 0.312) (
                <xref ref-type="table" rid="T3">Table 3</xref>).</p>
            <p>One-Way ANOVA results demonstrated that there was no difference between the mean BMI losses associated with the GFR outcome groups (p = 0.904). The type of GFR outcome under the effect of surgery did not affect the result of BMI expressed by the loss between pre and postoperative periods (
                <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>*ns: not significant.</title>
                    <p>ANOVA One-Way with bootstrapping procedure.</p>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/121793/ed476b9c-b5f1-47a0-8ea7-68e4bee822bf_figure2.gif"/>
            </fig>
        </sec>
        <sec id="sec9" sec-type="discussion">
            <title>Discussion</title>
            <p>According to the literature, in this cohort study one can observe a prevalence of white, females with an average age of 41 years, having high school education and health insurance, as women tend to take more care of themselves. They had a good socioeconomic level, given the difficulties of access to bariatric surgery in public services.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup>
            </p>
            <p>Bariatric surgery has shown encouraging results in the control of comorbidities in obese individuals, proving to be effective in sustained weight loss, corroborating the findings of the present study.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
            </p>
            <p>With regard to comorbidities (hypertension and diabetes), a significant decrease in the prevalence of these diseases can be observed in rated obese individuals after bariatric surgery, similar to most studies.
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup>
            </p>
            <p>Some studies have pointed out the improvement of renal function after bariatric surgery, but not in other studies.
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> In the present result, an improvement in renal function was observed after bariatric surgery.</p>
            <p>In this study there was trend towards an improvement in the GFR in the bypass technique in relation to the sleeve as opposed to the one observed in the literature.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> The explanation for this would be the evidence of the relationship of the bypass technique with urinary calculus formation, as well as malabsorption syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup>
            </p>
            <p>Kidney disease can be caused by hypertension, diabetes as well as obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> However, obesity is also associated with the emergence of diabetes, hypertension and kidney disease. In this sense, bariatric surgery promotes a reduction in BMI, glycemic control and blood pressure, and is even associated with improved renal function.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Therefore, it is hard to know what came first in this cascade of improvements.</p>
            <p>After performing a bivariate analysis between outcome of glomerular filtration rate and factors such as outcome of hypertension, outcome of diabetes and surgical techniques, no association of these factors with improved renal function was found. Furthermore, the type of GFR outcome under the effect of bariatric surgery does not affect the result of BMI which reinforces evidence suggesting that there is a strong and independent association between obesity and development of kidney disease.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
            </p>
        </sec>
        <sec id="sec10" sec-type="conclusion">
            <title>Conclusion</title>
            <p>After bariatric surgery, there was a significant improvement in the GFR, abdominal circumference and BMI, in addition to the control of associated comorbidities in obese patients with diabetes and hypertension. After bivariate analysis, no association was found between the improvement in GFR in the post-operative period of bariatric surgery and the analyzed variables. However, other prospective and more robust studies, as well as those with a larger sample size are needed to answer this challenging question: &#x201c;Does bariatric surgery have an effect on improving renal function as an independent factor?&#x201d;</p>
            <sec id="sec11">
                <title>Limitations</title>
                <p>The sample size that followed in this longitudinal study was too small because of the Covid-19 pandemic. The short follow-up time for assessing renal function after bariatric surgery stems from the fact that this manuscript is part of an ongoing PhD thesis research in surgery, from the Federal University of Pernambuco.</p>
            </sec>
        </sec>
        <sec id="sec12">
            <title>Data availability</title>
            <sec id="sec13">
                <title>Underlying data</title>
                <p>Harvard Data verse: Effects of bariatric surgery on renal function and associated factors with bivariate analysis: a cohort study. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/5C4F0I">https://doi.org/10.7910/DVN/5C4F0I</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref41">41</xref>
                    </sup>
                </p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>01_bariatric_surgery_nephrological_study_database.tab (raw data).</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
        </sec>
        <sec id="sec14">
            <title>Author contribution</title>
            <p>Bezerra JAB: collected the data, contributed in interpretation of data and prepared the manuscript.</p>
            <p>Brandt CT: contributed in interpretation of data and made the final revision.</p>
            <p>Santos EPR: contributed in interpretation of data.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgement</title>
            <p>

                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>Gilberto S. Matos: PhD. Associate Professor of Statistics at The Federal University of Campina Grande (UFCG), Brazil- contributed to the statistical analysis.</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>Edmilson de Albuquerque Borborema Filho: PhD. Associate Professor of English and Linguistics at The Federal University of Paraiba (UFPB), Brazil- contributed in english language review.</p>
                    </list-item>
                </list>
            </p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report218469">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.121793.r218469</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Arabi</surname>
                        <given-names>Tarek</given-names>
                    </name>
                    <xref ref-type="aff" rid="r218469a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6292-7683</uri>
                </contrib>
                <aff id="r218469a1">
                    <label>1</label>Alfaisal University, Riyadh, Saudi Arabia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>5</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Arabi T</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport218469" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110214.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The study by Bezerra 
                <italic>et al.</italic> is interesting and is still a topic of controversy and discussion. However, there are a few comments that must be addressed: 
                <list list-type="order">
                    <list-item>
                        <p>The language of the manuscript can be better refined.</p>
                    </list-item>
                    <list-item>
                        <p>I believe the statistical methods used are weak. The authors relied heavily on comparing categorical variables instead of continuous ones. Instead of categorizing patients into 'improved', 'worsened', and 'remained', it might be more adequate to compare the value of the GFR change itself. For example, the change of GFR in bypass vs. sleeve patients. I think this would help strengthen the statistical value and would give the readers an accurate representation of how much the change was.</p>
                    </list-item>
                    <list-item>
                        <p>The authors stated their method of calculating sample size. I do not think they mentioned what the population size they based off their calculations off was.</p>
                    </list-item>
                    <list-item>
                        <p>I believe it is important to provide a mean and SD of the age itself, instead of simply a range.</p>
                    </list-item>
                    <list-item>
                        <p>The tables are difficult to follow, in my opinion. I think the tables would need to restructured after adding the GFR change instead of just categories. Furthermore, a table describing the general demographics and relevant parameters of the study sample is needed.</p>
                    </list-item>
                    <list-item>
                        <p>The discussion is too simple. Authors should delve deeper into the role of obesity in renal function and better compare with studies in the literature.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Kidney transplantation, obesity, chronic kidney disease, molecular mechanisms, immunology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
