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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Transpl. Int.</journal-id>
<journal-title-group>
<journal-title>Transplant International</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Transpl. Int.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1432-2277</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">15844</article-id>
<article-id pub-id-type="doi">10.3389/ti.2026.15844</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review and Meta-Analysis</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of Vascular Anastomosis Time on Kidney Transplant Outcomes &#x2013; A Systematic Review</article-title>
<alt-title alt-title-type="left-running-head">Sayah et al.</alt-title>
<alt-title alt-title-type="right-running-head">Vascular Anastomosis Time and Outcomes</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sayah</surname>
<given-names>Khaled</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Burt</surname>
<given-names>Henry</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3265740"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Yizi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Taina</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuen</surname>
<given-names>Lawrence</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nahm</surname>
<given-names>Christopher</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Jinna</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lim</surname>
<given-names>Wai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wong</surname>
<given-names>Germaine</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Leonard</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hameed</surname>
<given-names>Ahmer</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pleass</surname>
<given-names>Henry</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1859066"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>School of Medicine, Faculty of Medicine and Health, The University of Sydney</institution>, <city>Sydney</city>, <state>USYD</state>, <country country="AU">Australia</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Westmead Hospital</institution>, <city>Westmead</city>, <state>WMH</state>, <country country="AU">Australia</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Henry Burt, <email xlink:href="mailto:henryburt00@gmail.com">henryburt00@gmail.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors share first authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-09">
<day>09</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>39</volume>
<elocation-id>15844</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Sayah, Burt, Zheng, Lee, Yuen, Nahm, Yao, Lim, Wong, Lee, Hameed and Pleass.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Sayah, Burt, Zheng, Lee, Yuen, Nahm, Yao, Lim, Wong, Lee, Hameed and Pleass</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Anastomotic time (AT), also termed second warm ischaemic time (SWIT), is a potentially important intraoperative factor in kidney transplantation, yet its impact on outcomes has not been systematically synthesised. We conducted a systematic review to examine the association between AT and delayed graft function (DGF), graft survival, and patient survival. Cochrane, Embase, and Medline were searched to 21 July 2025. Nine retrospective cohort studies comprising 155,523 transplants were included. Across all donor types, longer AT was consistently associated with higher rates of DGF within individual studies. Several studies also reported poorer 1- and 5-year graft survival with prolonged AT, while findings for patient survival were equivocal. However, substantial heterogeneity across studies, including donor type, AT definitions, outcome reporting, and incomplete adjustment for key confounders, precluded formal meta-analysis. None of the included studies consistently adjusted for major determinants of graft outcomes. These findings suggest a potential link between prolonged AT and adverse graft outcomes, but high-quality prospective studies with standardised reporting and confounder adjustment are required before AT can be considered an independent determinant of transplant outcomes.</p>
<sec>
<title>Systematic Review Registration</title>
<p>
<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</ext-link>, identifier PROSPERO CRD42024549222.</p>
</sec>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="TI_ti-2026-15844_wc_abs.tif" position="anchor">
<alt-text content-type="machine-generated">Infographic summarizing a systematic review on how vascular anastomosis time affects kidney transplant outcomes. Prolonged anastomotic time leads to ischemia reperfusion injury, delayed graft function, and reduced graft survival. Study conclusions note delayed graft function is proportional to anastomotic time, and prolonged time results in inferior one- and five-year graft survival. The review includes nine retrospective studies with over one hundred fifty-five thousand kidneys. Main conclusion emphasizes shorter anastomotic time improves graft outcomes after kidney transplantation.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>anastomosis</kwd>
<kwd>second warm ischaemic time</kwd>
<kwd>surgical</kwd>
<kwd>surgical anastomosis</kwd>
<kwd>transplant</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="10"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Kidney transplantation is the gold standard treatment for end-stage kidney disease (ESKD), offering substantial improvements in both survival and quality of life compared with dialysis [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>]. However, the burden of ESKD continues to grow. In the United States alone, more than 808,000 people are living with ESKD [<xref ref-type="bibr" rid="B3">3</xref>]. The transplant waitlist continues to expand, with 90,323 patients listed in 2024, underscoring the critical importance of optimising graft outcomes and extending the longevity of transplanted kidneys [<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>].</p>
<p>Outcomes after transplantation are influenced by multiple donor and recipient factors, including age, donor pathway, HLA matching, sensitisation, and organ quality [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>]. Among perioperative factors, cold ischaemic time (CIT) is well established as a determinant of graft function and survival [<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>].</p>
<p>Vascular anastomosis time (AT), also referred to as the second warm ischaemic time (SWIT), has similarly been assumed to exert an influence, but has been comparatively under-investigated, and represents the interval from removal of the kidney from ice, until reperfusion in the recipient. It has been acknowledged as a modifiable risk factor, with prolongation of this interval contributing to ischemia-reperfusion injury that drives inflammatory cascades, interstitial fibrosis and tubular atrophy (IFTA), and ultimately reduces graft viability [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>]. The clinical manifestation of this injury is delayed graft function (DGF), often requiring dialysis within the first seven days after transplantation [<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>]. Beyond early graft dysfunction, longer SWIT are also associated with longer hospital stays, increased use of renal replacement therapy, and greater reliance on diagnostic resources such as imaging and biopsy, all of which compound the burden on patients and health systems [<xref ref-type="bibr" rid="B14">14</xref>].</p>
<p>The first study to explicitly link SWIT to kidney transplant outcomes was published as recently as 2015 [<xref ref-type="bibr" rid="B8">8</xref>]. Since then, only a limited number of retrospective cohorts have examined this association, and no systematic review has yet synthesised the available evidence despite the critical role SWIT has on outcomes. As SWIT is a modifiable surgical factor, clarifying its effect is of direct clinical relevance. To address this, we conducted a systematic review to evaluate its association with delayed graft function, one and five-year graft survival, and patient survival in adult kidney transplant recipients.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<p>The systematic review was conducted in adherence with the Preferred Items for Systematic Reviews (PRISMA) checklist and was registered with PROSPERO (CRD42024549222) in 2024 [<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>].</p>
<sec id="s2-1">
<title>Eligibility Criteria</title>
<p>Articles included in the systematic review were required to have been published between January 2000 &#x2013; July 2025. AT (SWIT) was required to be reported with a clear description of the term, as well as type of donor graft (DCD, DBD, living donor) used in the study. Studies were required to have a sample size greater than 100, with adult recipients between 18 years or above. Transplant characteristics assessed included DGF, 1- and 5-year graft survival and patient survival. Review articles, articles with majority paediatric or elderly transplants, <italic>en bloc</italic> kidney transplants, multi-organ transplants, or animal studies were excluded from the systematic review.</p>
</sec>
<sec id="s2-2">
<title>Literature Search and Study Selection</title>
<p>
<xref ref-type="sec" rid="s12">Supplementary Table 1</xref> outlines the literature search strategy, developed using a combination of key words and MeSH terms. The following three databases were searched simultaneously via OVID: Cochrane databases for systematic reviews, Embase, and Medline. The final search result was performed on 21st July 2025. Results from the database search was uploaded to COVIDENCE for article screening, as outlined in <xref ref-type="sec" rid="s12">Supplementary Table 1</xref>. Each included study was screened by at least two independent reviewers (KS, HB, YZ, LL), with any conflicts mediated by a third reviewer (HP).</p>
</sec>
<sec id="s2-3">
<title>Data Collection</title>
<p>Information from each study was extracted and collated in a standardized table. The following information was documented from each article: Author(s) and study year; type of study; donor type; number of patients in the study; anastomosis time; delayed graft function; 1-year and 5-year graft survival; 1-year and 5-year patient survival. Baseline study characteristics included were Recipient BMI, Recipient Age, Donor BMI, Donor Age, Cause of death (if applicable), Donor serum creatinine, Serum urea, eGFR, and Cold Ischemic Time. This information is outlined on <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>, <xref ref-type="table" rid="T3">3</xref>. Data extraction was collected individually, then cross-checked by two independent reviewers before being documented on a joint spreadsheet. The terms SWIT and AT are used interchangeably throughout this manuscript.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline study characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Author and Year</th>
<th align="center">Study type</th>
<th align="center">Population and donor types</th>
<th align="center">Recipient BMI (mean, SD) kg/m<sup>2</sup>
</th>
<th align="center">Recipient Age (mean, SD) years</th>
<th align="center">Donor BMI (Mean, SD) kg/m<sup>2</sup>
</th>
<th align="center">Donor age (mean, SD) years</th>
<th align="center">Cause of death</th>
<th align="center">Donor Serum creatinine (mean, SD) &#x3bc;moL/L</th>
<th align="center">Serum Urea (&#x3bc;moL/L)</th>
<th align="center">eGFR (mL/min/1.73 m<sup>2</sup>)</th>
<th align="center">Cold ischemic time (mean, SD) hours</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td>Heylen [<xref ref-type="bibr" rid="B19">19</xref>]</td>
<td>Retrospective cohort study</td>
<td>13,964 (DBD (12, 806), DCD (1,158))</td>
<td align="center">25 &#xb1; 0.76</td>
<td align="center">54.99 &#xb1; 2.6</td>
<td align="center">25 &#xb1; 2</td>
<td align="center">53 &#xb1; 2.6</td>
<td>NR</td>
<td align="center">75.14 &#xb1; 2.3</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">13.7 &#xb1; 0.9</td>
</tr>
<tr>
<td>Weissenbacher [<xref ref-type="bibr" rid="B20">20</xref>]</td>
<td>Retrospective cohort study</td>
<td>1,245 DBD</td>
<td align="center">23.67 &#xb1; 3.74</td>
<td align="center">51.02</td>
<td align="center">24.81 &#xb1; 3.52 (mean)</td>
<td align="center">45 &#xb1; 3</td>
<td>DBD: Cerebrovascular accident (587), trauma (358), other (308)</td>
<td align="center">83.98</td>
<td align="center">2,939</td>
<td align="center">NR</td>
<td align="center">14.53 &#xb1; 5.69</td>
</tr>
<tr>
<td>Marzouk [<xref ref-type="bibr" rid="B14">14</xref>]</td>
<td>Retrospective cohort study</td>
<td>298 (DBD (n &#x3d; 282), DCD (n &#x3d; 16))</td>
<td align="center">78 &#xb1; 17</td>
<td align="center">51 &#xb1; 13</td>
<td align="center">27 &#xb1; 6 (mean)</td>
<td align="center">47 &#xb1; 17</td>
<td>NR</td>
<td align="center">67 &#xb1; 31</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">12 &#xb1; 1.3</td>
</tr>
<tr>
<td>Kukla [<xref ref-type="bibr" rid="B21">21</xref>]</td>
<td>Retrospective cohort study</td>
<td>554 (DBD, DCD (breakdown not available))</td>
<td align="center">24.4 &#xb1; 0.09</td>
<td align="center">47.6 &#xb1; 4.2</td>
<td align="center">25.5 &#xb1; 0.09</td>
<td align="center">42.8 &#xb1; 0.37</td>
<td align="left">CVD: 24.8 (23.5&#x2013;26.2), trauma 24.6 (23.4&#x2013;25.7), other causes 27.8 (24.8&#x2013;30.8)</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">18.9 &#xb1; 0.1</td>
</tr>
<tr>
<td>Tennankore [<xref ref-type="bibr" rid="B22">22</xref>]</td>
<td>Retrospective cohort study</td>
<td>131, 677 (living donor (50, 587), DBD (81,120), DCD (9199)</td>
<td align="center">NR</td>
<td align="center">50 &#xb1; 14</td>
<td align="center">NR</td>
<td align="center">39 &#xb1; 16</td>
<td align="left">DBD: (Anoxia: 16, 447), (CVA: 29,375), (Head trauma: 32, 754), (other: 2,514). DCD: 9,199</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">11 &#xb1; 2</td>
</tr>
<tr>
<td>Mahajan [<xref ref-type="bibr" rid="B23">23</xref>]</td>
<td>Retrospective cohort study</td>
<td>247 (DBD, DCD (breakdown not available))</td>
<td align="center">NR</td>
<td align="center">53 &#xb1; 3.5</td>
<td align="center">NR</td>
<td align="center">51.8 &#xb1; 4.4</td>
<td>NR</td>
<td align="center">DGF: 78 &#xb1; 12; (&#x2212;) DGF: 69.3 &#xb1; 6.1</td>
<td align="center">NR</td>
<td align="center">1-month eGFR 36.8 &#xb1; 3.6; 1-year eGFR 40 &#xb1; 3</td>
<td align="center">DGF: 840 &#xb1; 63&#xa0;min; No DGF: 824 &#xb1; 59&#xa0;min</td>
</tr>
<tr>
<td>Heylen [<xref ref-type="bibr" rid="B8">8</xref>]</td>
<td>Retrospective cohort study</td>
<td>669 (DBD)</td>
<td align="center">25 &#xb1; 5</td>
<td align="center">55 &#xb1; 13</td>
<td align="center">NR</td>
<td align="center">48 &#xb1; 15</td>
<td>DBD</td>
<td align="center">63 &#xb1; 23</td>
<td align="center">NR</td>
<td align="center">3-month eGFR 47 &#xb1; 17 (n &#x3d; 646); 1-year eGFR 52 &#xb1; 18 (n &#x3d; 598); 2-year eGFR 52 &#xb1; 18 (n &#x3d; 512); 3-year eGFR 51 &#xb1; 20 (n &#x3d; 373)</td>
<td align="center">15 &#xb1; 4</td>
</tr>
<tr>
<td>Cron [<xref ref-type="bibr" rid="B24">24</xref>]</td>
<td>Retrospective cohort study</td>
<td>6, 397 (DCD)</td>
<td align="center">28 &#xb1; 1.04</td>
<td align="center">55.2 &#xb1; 2.4</td>
<td align="center">26.8 &#xb1; 1.1</td>
<td align="center">38.9 &#xb1; 3.2</td>
<td>Anoxia (n &#x3d; 2,724. 42.58), CVA (n &#x3d; 1,046. 16.35), other/unknown (n &#x3d; 313. 4.89), trauma (n &#x3d; 2,314. 36.17)</td>
<td align="center">70.4 &#xb1; 5.5</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">17.6 &#xb1; 1.2; adjusted odds ratio (1.02) per 1&#xa0;h</td>
</tr>
<tr>
<td>Hellegering [<xref ref-type="bibr" rid="B25">25</xref>]</td>
<td>Retrospective cohort study</td>
<td>472 (living donor)</td>
<td align="center">24</td>
<td align="center">44.8</td>
<td align="center">25.5</td>
<td align="center">50.1</td>
<td>N/A</td>
<td align="center">NR</td>
<td align="center">2 weeks: 157, 1 month:137, 1 year:128</td>
<td align="center">NR</td>
<td align="center">NR</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Comparing shorter to longer anastomosis times.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Study</th>
<th colspan="4" align="center">Short anastomosis time (30&#x2013;35&#xa0;min)</th>
<th colspan="4" align="center">Long anastomosis time (&#x3e;35&#xa0;min)</th>
</tr>
<tr>
<th align="center">AT (minutes)</th>
<th align="center">Number of participants</th>
<th align="center">5-year survival [95% CI]</th>
<th align="center">DGF</th>
<th align="center">AT</th>
<th align="center">Number of participants</th>
<th align="center">5-year survival [95% CI]</th>
<th align="center">DGF</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Heylen [<xref ref-type="bibr" rid="B19">19</xref>]</td>
<td align="center">&#x3c;35</td>
<td align="center">6,083</td>
<td align="center">82%</td>
<td align="center">NR</td>
<td align="center">Q2 &#x3d; 35&#x2013;44&#xa0;min Q3 &#x3d; 45&#x2013;54&#xa0;min Q4 &#x3d; &#x2265;55&#xa0;min</td>
<td align="center">Q2 &#x3d; 4,008<break/>Q3 &#x3d; 2050<break/>Q4 &#x3d; 1823</td>
<td align="center">Q2 &#x3d; 81% Q3 &#x3d; 78% Q4 &#x3d; 75%</td>
<td align="center">NR</td>
</tr>
<tr>
<td align="left">Weissenbacher [<xref ref-type="bibr" rid="B20">20</xref>]</td>
<td align="center">&#x3c;30</td>
<td align="center">NR</td>
<td align="center">80.60%</td>
<td align="center">NR</td>
<td align="center">&#x3e;30&#xa0;min</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
</tr>
<tr>
<td align="left">Heylen [<xref ref-type="bibr" rid="B8">8</xref>]</td>
<td align="center">34 IQR (30&#x2013;40)</td>
<td align="center">659</td>
<td align="center">NR</td>
<td align="center">17%</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
</tr>
<tr>
<td align="left">Cron [<xref ref-type="bibr" rid="B24">24</xref>]</td>
<td align="center">&#x2264;30</td>
<td align="center">1731</td>
<td align="center">88.20%</td>
<td align="center">36.70%</td>
<td align="center">Q2 &#x3d; 31&#x2013;38&#xa0;min Q3 &#x3d; 39&#x2013;47&#xa0;min Q4 &#x2265; 48&#xa0;min</td>
<td align="center">Q2 &#x3d; 1,506<break/>Q3 &#x3d; 1,584<break/>Q4 &#x3d; 1,576</td>
<td align="center">Q4 &#x3d; 84.8%</td>
<td align="center">Q2 &#x3d; 35.2%<break/>Q3 &#x3d; 40.6%<break/>Q4 &#x3d; 44.0%</td>
</tr>
<tr>
<td align="left">Marzouk [<xref ref-type="bibr" rid="B14">14</xref>]</td>
<td align="center">30 IQR (24&#x2013;45)</td>
<td align="center">311</td>
<td align="center">NR</td>
<td align="center">18%</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
</tr>
<tr>
<td align="left">Kukla [<xref ref-type="bibr" rid="B21">21</xref>]</td>
<td align="center">25.2 IQR (24.3&#x2013;26.1)</td>
<td align="center">555</td>
<td align="center">NR</td>
<td align="center">29.2%</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
</tr>
<tr>
<td align="left">Mahajan [<xref ref-type="bibr" rid="B23">23</xref>]</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">43 IQR (35&#x2013;48)</td>
<td align="center">n &#x3d; 247</td>
<td align="center">NR</td>
<td align="center">43.3%</td>
</tr>
<tr>
<td align="left">Tennankore [<xref ref-type="bibr" rid="B22">22</xref>]</td>
<td align="center">Q1 &#x3d; &#x3c;10<break/>Q2 &#x3d; 10 - &#x3c;20 Q3 &#x3d; 20 - &#x3c;30</td>
<td align="center">Q1 &#x3d; 13,456<break/>Q2 &#x3d; 3,715<break/>Q3 &#x3d; 21,627</td>
<td align="center">Q1 &#x3d; 78% [77%&#x2013;79%]<break/>Q2 &#x3d; 80% [78%&#x2013;81%]<break/>Q3 &#x3d; 78% [78%&#x2013;79%]</td>
<td align="center">NR</td>
<td align="center">Q4 &#x3d; 30 - &#x3c;40<break/>Q5 &#x3d; 40 - &#x3c;50<break/>Q6 &#x3d; 50 - &#x3c;60<break/>Q7 &#x2265; 60</td>
<td align="center">Q3 &#x3d; 38,403<break/>Q4 &#x3d; 27,058<break/>Q5 &#x3d; 10,818<break/>Q6 &#x3d; 16,600</td>
<td align="center">Q4 &#x3d; 75% [75%&#x2013;76%]<break/>Q5 &#x3d; 74% [73%&#x2013;75%] Q6 &#x3d; 73% [72%&#x2013;74%]</td>
<td align="center">NR</td>
</tr>
<tr>
<td align="left">Hellegering [<xref ref-type="bibr" rid="B25">25</xref>]</td>
<td align="center">29.8&#xa0;min</td>
<td align="center">n &#x3d; 477</td>
<td align="center">NR</td>
<td align="center">4.40%</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
<td align="center">NR</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Comparing short (&#x3c;30&#xa0;min) to longer AT (&#x3e;30&#x2013;35&#xa0;min).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Donor Type</th>
<th rowspan="2" align="center">Study</th>
<th rowspan="2" align="center">Number of participants</th>
<th colspan="2" align="center">DGF (%)</th>
<th colspan="2" align="center">1-year graft survival (%)</th>
<th colspan="2" align="center">5-year graft survival (%)</th>
<th colspan="2" align="center">1-year patient survival (%)</th>
<th colspan="2" align="center">5-year patient survival (%)</th>
</tr>
<tr>
<th align="center">Short AT</th>
<th align="center">Long AT</th>
<th align="center">Short AT</th>
<th align="center">Long AT</th>
<th align="center">Short AT</th>
<th align="center">Long AT</th>
<th align="center">Short AT</th>
<th align="center">Long AT</th>
<th align="center">Short AT</th>
<th align="center">Long AT</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">DBD</td>
<td align="left">Heylen [<xref ref-type="bibr" rid="B8">8</xref>]</td>
<td align="center">669</td>
<td align="center">17</td>
<td align="center">&#x200b;</td>
<td align="center">95</td>
<td align="center">&#x200b;</td>
<td align="center">85</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Weissenbacher [<xref ref-type="bibr" rid="B20">20</xref>]</td>
<td align="center">1,245</td>
<td align="center">33.1</td>
<td align="center">&#x200b;</td>
<td align="center">93</td>
<td align="center">90</td>
<td align="center">80.6</td>
<td align="center">76.6</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">89.6</td>
<td align="center">85.7</td>
</tr>
<tr>
<td align="left">Kukla [<xref ref-type="bibr" rid="B21">21</xref>]</td>
<td align="center">554</td>
<td align="center">29.2</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">DCD</td>
<td align="left">Cron [<xref ref-type="bibr" rid="B24">24</xref>]</td>
<td align="center">6,397</td>
<td align="center">36</td>
<td align="center">42.3</td>
<td align="center">96.7</td>
<td align="center">94.7</td>
<td align="center">89.1</td>
<td align="center">85.9</td>
<td align="center">96.7</td>
<td align="center">96.2</td>
<td align="center">87.8</td>
<td align="center">87.6</td>
</tr>
<tr>
<td rowspan="3" align="left">DCD &#x2b; DBD</td>
<td align="left">Heylen [<xref ref-type="bibr" rid="B19">19</xref>]</td>
<td align="center">13,964</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">88</td>
<td align="center">86</td>
<td align="center">82</td>
<td align="center">79.5</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Marzouk [<xref ref-type="bibr" rid="B14">14</xref>]</td>
<td align="center">298</td>
<td align="center">18.8</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Mahajan [<xref ref-type="bibr" rid="B23">23</xref>]</td>
<td align="center">279</td>
<td align="center">&#x200b;</td>
<td align="center">43.3</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Living &#x2b; deceased</td>
<td align="left">Tennankore [<xref ref-type="bibr" rid="B22">22</xref>]</td>
<td align="center">131,677</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">94</td>
<td align="center">91.8</td>
<td align="center">78.5</td>
<td align="center">74.7</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Living only</td>
<td align="left">Hellegering [<xref ref-type="bibr" rid="B25">25</xref>]</td>
<td align="center">477</td>
<td align="center">4.4%</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-4">
<title>Formulation of Results</title>
<p>Given substantial heterogenicity across included studies, including differences in donor type, AT definitions, comparator thresholds, missing covariate reporting, surgical complexity and inconsistent outcome stratification, formal meta-analysis was not undertaken following statistical consultation. Quantitative pooling of outcomes across studies was not performed, as doing so would risk biasing data or producing misleading estimates from clinically and methodologically incomparable data. Simple pooling approaches such as weighted arithmetic means were considered inappropriate for this dataset. Instead, a structured narrative synthesis was conducted. Outcomes were summarised within each study, and patterns of associated trends between AT and transplant outcomes were described across donor types. Studies were grouped by donor type (DBD, DCD, living donor and mixed cohorts) and by AT threshold where applicable. Direction and consistency of reported effects were assessed descriptively for delayed graft function, graft survival and patient survival.</p>
</sec>
<sec id="s2-5">
<title>Risk of Bias Assessment</title>
<p>Retrospective cohort studies were assessed for risk of bias using the Newcastle-Ottawa scale (<xref ref-type="table" rid="T4">Table 4</xref>) [<xref ref-type="bibr" rid="B18">18</xref>]. This tool evaluates bias across multiple domains, including the representation of exposed cohort, the selection of a non-exposed cohort, ascertainment of exposure, demonstration that the outcome was not present at the initial investigation of the study, comparability of included cohorts, and assessment of the outcome with adequate follow-up time [<xref ref-type="bibr" rid="B18">18</xref>].</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Newcastle-Ottawa assessment.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="10" align="left">Newcastle-Ottowa clinical assessment</th>
</tr>
<tr>
<th rowspan="2" align="left">References</th>
<th rowspan="2" align="left">Representation of exposed cohort</th>
<th colspan="2" align="center">Selection</th>
<th colspan="2" align="center">Comparability</th>
<th colspan="2" align="center">Outcome/Exposure</th>
<th rowspan="2" align="center">Adequecy of follow-up cohorts</th>
<th rowspan="2" align="center">Total score</th>
</tr>
<tr>
<th align="center">Selection of non-exposed cohort</th>
<th align="center">Ascertainment of exposure</th>
<th align="center">Demonstration that the outcome was not present at the start of the study</th>
<th align="center">Comparability of cohort on the basis of the design or analysis controlled for confounders</th>
<th align="center">Assessment of the outcome</th>
<th align="center">Follow-up time was appropriate for outcomes to occur</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Heylen [<xref ref-type="bibr" rid="B19">19</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="left">8 good quality</td>
</tr>
<tr>
<td align="left">Weissenbacher [<xref ref-type="bibr" rid="B20">20</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="left">9 good quality</td>
</tr>
<tr>
<td align="left">Marzouk [<xref ref-type="bibr" rid="B14">14</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="left">6 fair quality</td>
</tr>
<tr>
<td align="left">Kukla [<xref ref-type="bibr" rid="B21">21</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="left">9 good quality</td>
</tr>
<tr>
<td align="left">Tennankore [<xref ref-type="bibr" rid="B22">22</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="left">7 good quality</td>
</tr>
<tr>
<td align="left">Mahajan [<xref ref-type="bibr" rid="B23">23</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="left">7 good quality</td>
</tr>
<tr>
<td align="left">Heylen [<xref ref-type="bibr" rid="B8">8</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="left">8 good quality</td>
</tr>
<tr>
<td align="left">Hellegering [<xref ref-type="bibr" rid="B25">25</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="left">8 good quality</td>
</tr>
<tr>
<td align="left">Cron [<xref ref-type="bibr" rid="B24">24</xref>]</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="left">8 good quality</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-6">
<title>Certainty of Evidence</title>
<p>For each comparison, certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework [<xref ref-type="bibr" rid="B26">26</xref>]. Outcome chosen for certainty assessments included Delayed Graft function, 1 and 5-year Graft Survival, and 1- and 5- year Patient Survival [<xref ref-type="bibr" rid="B26">26</xref>]. All included studies were retrospective observational cohorts and were therefore initially rated as low-certainty evidence. Longer anastomosis time was consistently associated with higher rates of delayed graft function and poorer graft survival within individual studies, but findings for patient survival were inconsistent. Certainty was downgraded due to residual confounding, heterogenicity in anastomosis time thresholds, and incomplete adjustment for key covariates, including cold ischaemic time, graft type and surgical complexity. Overall, the certainty of evidence across outcomes was rated as low to moderate, reflecting the observational design, heterogenicity and high likelihood of residual confounding. No pooled quantitative effect estimates were generated.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>A total of 9 retrospective cohort studies were included in the systematic review, with a total combined data spread of 155, 523 patients across two continents of North America and Europe. The PRISMA flow chart is outlined in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>PRISMA flowchart for literature assessment.</p>
</caption>
<graphic xlink:href="ti-39-15844-g001.tif">
<alt-text content-type="machine-generated">Flowchart titled &#x22;Identification of studies via databases and registers&#x22; shows systematic review steps: 3059 records identified, 2023 removed, 1036 screened, 1007 excluded, 29 reports sought and assessed, 20 excluded, nine studies included in review.</alt-text>
</graphic>
</fig>
<sec id="s3-1">
<title>Population Characteristics</title>
<p>Across the 9 retrospective cohort studies, population characteristics were sectioned into recipient and donor patient characteristics. Of the recipient population, reported BMI ranged from 23.7&#xa0;kg/m<sup>2</sup> to 28.0&#xa0;kg/m<sup>2</sup>, and the median age was 51.2 IQR (48.8&#x2013;55.0). With respect to the donor population, the median age was 47 IQR (40.9&#x2013;70.0). Donor types were recorded as living donors (n &#x3d; 51, 059), donation after circulatory death (n &#x3d; 16, 770), and donation after brain death (n &#x3d; 96, 122). For the deceased donor population, the cause of death was included if available in the retrospective cohort study.</p>
</sec>
<sec id="s3-2">
<title>Study Characteristics</title>
<p>Three studies used a mixed kidney donor population of deceased donors consisting of both donation after circulatory death (DCD) and donation after brain death (DBD) [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>]. Three studies used only DBD donors [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>], one study limited the donor type to DCD [<xref ref-type="bibr" rid="B24">24</xref>], one utilized living donors [<xref ref-type="bibr" rid="B25">25</xref>], and the last study used a mix of both living and deceased donors [<xref ref-type="bibr" rid="B22">22</xref>].</p>
</sec>
<sec id="s3-3">
<title>Evidence and Reporting Bias</title>
<p>A summary of the Newcastle-Ottawa risk of bias assessment is provided in <xref ref-type="table" rid="T3">Table 3</xref>. All studies included provided a clear description of the donor type used in their respective studies and specified the AT intervention and comparator used in their analysis. Some studies failed to provide an adequate assessment of outcome and did not provide an adequate follow-up time for long term graft outcomes to be assessed. Eight studies included maintained a good quality score ranging from 7 to 9. One of the studies included was determined as Fair quality with a rating of 6 due to the above rationale.</p>
<p>Overall quality of evidence was summarized in accordance with the GRADE evidence profile on <xref ref-type="table" rid="T5">Table 5</xref> [<xref ref-type="bibr" rid="B26">26</xref>]. The quality of evidence was moderate for all measurable outcomes investigated. Study evidence was reduced due to all the studies included being retrospective cohort studies, and the different donor types used to assess each outcome.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Grading of recommendations, assessment, development and evaluations (GRADE).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Outcome type</th>
<th align="center">No. of studies</th>
<th align="center">Risk of bias/Quality of evidence</th>
<th align="center">Consistency</th>
<th align="center">Directness</th>
<th align="center">Precision</th>
<th align="center">Publication bias</th>
<th align="center">Overall effect size estimate (95% CI)</th>
<th align="center">Quality of evidence</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Delayed graft function (DGF)</td>
<td align="left">7 (7 cohort)</td>
<td align="left">Low risk of bias; observational evidence</td>
<td align="left">Minimal inconsistency</td>
<td align="left">Direct (0)</td>
<td align="left">Narrow CI; large sample size; high precision</td>
<td align="left">No important publication bias</td>
<td align="center">1.10 per 10&#xa0;min (1.06&#x2013;1.14)</td>
<td align="left">Moderate</td>
</tr>
<tr>
<td align="left">1-year Patient Survival</td>
<td align="left">3 (3 cohort)</td>
<td align="left">Low risk of bias; observational evidence, however</td>
<td align="left">Minimal inconsistency</td>
<td align="left">Direct (0)</td>
<td align="left">Narrow CI; large sample size; high precision</td>
<td align="left">No evident publication bias</td>
<td align="center">1.021 per minute (1.006&#x2013;1.037)</td>
<td align="left">Moderate</td>
</tr>
<tr>
<td align="left">5-year Patient Survival</td>
<td align="left">4 (4 cohort)</td>
<td align="left">Low risk of bias; observational study</td>
<td align="left">Some inconsistency</td>
<td align="left">Direct (0)</td>
<td align="left">Narrow CI; large sample size</td>
<td align="left">No evident publication bias</td>
<td align="center">3.5 (1.6&#x2013;7.3)</td>
<td align="left">Moderate</td>
</tr>
<tr>
<td align="left">5-year Graft Survival</td>
<td align="left">4 (4 cohort)</td>
<td align="left">Low risk of bias; observational study</td>
<td align="left">Minimal inconsistency</td>
<td align="left">Direct (0)</td>
<td align="left">Narrow CI and large sample size</td>
<td align="left">No evident publication bias</td>
<td align="center">1.23 (1.15&#x2013;1.33)</td>
<td align="left">Moderate</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Anastomosis Time Across Studies</title>
<p>Across the nine included studies, definitions of &#x201c;short&#x201d; and &#x201c;long&#x201d; AT varied, with thresholds ranging from &#x3c;30&#xa0;min to &#x3c;35&#xa0;min for shorter AT, and &#x3e;30&#xa0;min to &#x3e;55&#xa0;min for prolonged AT [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>]. Several studies reported AT quartiles rather than binary cut-offs [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>]. In large registry-based cohorts, only a minority of recipients fell within the shortest AT category [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>]. Small, single centre studies reported median AT values ranging from 25 to 45&#xa0;min, with wide interquartile ranges [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>]. These findings suggest that achieving and AT &#x3c;30&#xa0;min is feasible in selected cases, particularly living donor transplantation, but may be uncommon in complex, deceased donor scenarios.</p>
</sec>
<sec id="s3-5">
<title>Anastomosis Time and Delayed Graft Function</title>
<p>Seven studies analysed the relationship between vascular AT and the incidence of DGF in kidney transplantation [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>]. Across all donor types, longer AT were associated with higher rates of DGF (<xref ref-type="table" rid="T2">Table 2</xref>). In one study examining DBD recipients who developed DGF had significantly longer median AT compared to those without [<xref ref-type="bibr" rid="B8">8</xref>]. In another study examining DCD recipients, a similar effect was noted, with higher rates of DGF across increasing AT quartiles [<xref ref-type="bibr" rid="B24">24</xref>]. These directional associations were observed in mixed donor cohorts [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>], and in living donor cohorts [<xref ref-type="bibr" rid="B25">25</xref>], although effect sizes varied across studies. Due to heterogenicity in AT thresholds, donor populations, and outcome definitions, no pooled estimates of DGF risk were calculated.</p>
</sec>
<sec id="s3-6">
<title>Anastomosis Time and Graft Survival</title>
<p>Five studies analysed the effect of AT on 1 and 5-year graft survival, with all studies reporting statistically significant findings, consistently demonstrating that graft survival at both time points was superior in cohorts with shorter AT [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>] (<xref ref-type="table" rid="T2">Table 2</xref>). One study demonstrated a graded decline in 5-year graft survival across increasing AT quartiles [<xref ref-type="bibr" rid="B19">19</xref>]. One study reported inferior graft survival beyond an AT threshold of 30&#xa0;min [<xref ref-type="bibr" rid="B20">20</xref>]. One study observed lower graft survival with prolonged AT in DCD transplantation [<xref ref-type="bibr" rid="B24">24</xref>]. Given differences in study design, donor populations, AT categorisations and outcome reporting, pooled graft survival estimates were not generated.</p>
</sec>
<sec id="s3-7">
<title>Anastomosis Time and Patient Survival</title>
<p>One study with the predetermined criteria reported data on 1-year patient survival [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>], and four reported a 5-year patient survival [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>]. For patient survival, no study found an effect of AT at 1&#xa0;year, and results at 5&#xa0;years were mixed. Some cohorts reported poorer survival with prolonged AT, while others showed no independent association. Taken together, the evidence suggests AT primarily influences graft-level outcomes, while its impact on patient-level survival remains uncertain [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>].</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This review is, to our knowledge, the first systematic synthesis of vascular AT and kidney transplant outcomes across donor types. In the studies involved, prolonged AT was associated with higher rates of DGF across all donor types, and as expected the lowest incidence was seen in living donor grafts, intermediate rates in donation after brain death, and the highest rates in donation after circulatory death. In the studies involved, shorter AT, particularly under 30&#xa0;min, were associated with superior graft survival, whereas both one-year and five-year graft survival declined once this interval was exceeded. Impacts on patient survival were less clear.</p>
<p>These findings support the interpretation that AT, DGF, and graft survival are best understood as a connected pathway rather than independent outcomes. Prolonged AT consistently increased the risk of DGF, and poorer long-term graft survival was observed in the same cohorts. Because DGF itself is a well-recognised predictor of graft loss, it is plausible that the adverse impact of prolonged AT on survival is mediated in part through its effect on early graft function. This biological plausibility is consistent with the known mechanisms of ischemia-reperfusion injury and lends coherence to the observed clinical outcomes [<xref ref-type="bibr" rid="B15">15</xref>].</p>
<p>The modifiability of vascular AT highlights its potential as a risk factor that could be improved through revised surgical techniques and guidelines. Current clinical guidelines from the Transplantation Society of Australia and New Zealand (TSANZ) do not specify an optimal vascular AT but emphasize the importance of minimising cold ischemic time [<xref ref-type="bibr" rid="B27">27</xref>]. Additionally, the guidelines highlight strong evidence that a short ischemic time may improve transplant outcomes, recommending that kidneys be transplanted as quickly as possible to mitigate prolonged cold ischemia [<xref ref-type="bibr" rid="B27">27</xref>]. However, various factors influencing vascular AT must be considered when promoting speed and precision. These include anatomical complexities (e.g., multiple renal arteries/veins, right-sided kidney grafts), recipient and donor characteristics (BMI, depth, and Age) [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>]. This emphasizes the need to recognize AT as a modifiable risk factor and incorporate its optimization into surgical planning within the transplant community and has impacts on transplant surgical training, as well as the introduction of robotic kidney transplantation more broadly.</p>
<p>Importantly, AT is not solely a function of surgical technique or efficiency, but also reflects surgical complexity. Prolonged AT commonly occurs in technically challenging scenarios, including ipsilateral re-transplantation, difficult iliac vessel exposure, high recipient BMI, deep iliac fossae, and the presence of calcified vessels, to name but a few [<xref ref-type="bibr" rid="B31">31</xref>]. In such cases, prolonged AT may be unavoidable and appropriate to ensure technical precision and haemostatic security. Accordingly, AT may act a s a surrogate marker of procedural complexity rather than an independent causal factor of poor transplant outcomes.</p>
<p>Cold ischaemic time is a well-established independent predictor of graft outcomes and is biologically distinct from AT [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. While AT and CIT are temporally separate, they are likely biologically synergistic. Prolonged AT may be particularly injurious in kidneys already exposed to extended cold storage, as warm re-ischemia following prolonged hypothermia may amplify ischemia reperfusion injury. This potential interaction, however, is beyond the scope of this review but remains a hypothetical, though clinically plausible mechanism, warranting prospective evaluation.</p>
<p>The feasibility of achieving AT below 30&#xa0;min also warrants consideration. Registry based data suggests that a substantial proportion of deceased donor transplants exceed this threshold, particularly in DCD cohorts [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>]. Short AT is most achievable in living donor cohorts, and straightforward deceased donor cases. Thresholds used across studies in this review, were arbitrary and heterogenous, and no evidence-based cut-off for &#x201c;safe&#x201d; AT currently exists.</p>
<p>These findings support viewing AT as a modifiable intra-operative factor with meaningful consequences for both early graft function and long-term graft durability. Minimisation can be encouraged through thorough preparation at the pre-operative briefing, with clear allocation of roles, readiness of instruments, and vascular exposure achieved before removal of the kidney from ice. Further, recording AT as a routine peri-operative quality measure would allow teams to monitor performance and provide constructive feedback. Workflow can also be streamlined, for example, by using a two-surgeon approach where possible and by preparing sutures or clamps in advance so that periods of non-productive time are reduced. An alternative approach would be to incorporate active methods of insulating and/or cooling the graft during anastomoses, to ameliorate the negative impacts of rapid graft rewarming and warm ischemia during this interval.</p>
<p>Several limitations must be recognised in this review, however. Important covariates such as cold ischaemic time, first warm ischemia, multiplicity of vessels, side of graft, recipient body mass index, machine perfusion, and centre or era effects were not consistently adjusted for. We also could not conduct formal meta-analyses and sensitivity analyses given significant differences in donor populations between different studies, variable use and reporting of technologies such as machine perfusion, and variable/inconsistent reporting of all relevant study outcomes stratified by AT thresholds and donor types.</p>
<p>Despite these limitations, the review has notable strengths. It is, to our knowledge, the first systematic review to focus specifically on vascular AT in kidney transplantation. Large and contemporary cohorts were included, stratified by donor type, and the overall risk of bias was low, with eight of the nine studies assessed as good quality. Taken together, this synthesis provides a structured overview of the available evidence and highlights areas where prospective research with standardised definitions and reporting would add the most value.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>This systematic review identified studies that found an inverse relationship between AT and graft survival. A shorter AT was associated with a superior immediate graft function, and 1-year and 5-year graft survival, across all types of donor recipients. Currently, there are no guidelines that define the significance of maintaining a short AT for optimal graft function and survival. This systematic review aims to inform the transplant community on the importance of maintaining a short AT, where possible, to provide the most optimal outcome post-operatively.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics Statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author Contributions</title>
<p>KS, HB, and YZ were responsible for article screening and inclusion, with any conflicts resolved by a HP. AH provided statistical support. KS, HB, YZ, and LL were responsible for writing of the manuscript, with revision by TL, LY, CN, JY, WL, GW, AH, and HP. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>HP and AH would like to declare a conflict of interest in that they are shareholders in iiShield Ltd, a start-up company aiming to design an insulating jacket to be utilised during kidney transplantation.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI Statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>Statistical advice was sought from Dr. Ahmer Hameed, and we wish to acknowledge their support.</p>
</ack>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontierspartnerships.org/articles/10.3389/ti.2026.15844/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/ti.2026.15844/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>AT or SWIT, Anastomosis time or second warm ischemic time; CIT, Cold ischemic time; CI, confidence interval; DBD, donation after brain death; DCD, donation after cardiac death; DGF, Delayed graft function; DWIT or FWIT, Donor warm ischemic time or first warm ischemic time; EGF, Early graft function; ESKD, End stage kidney disease; HR, Hazard ratio; IFTA, Interstitial fibrosis and tubular atrophy; IGF, Immediate graft function; NR, Not reported; OR, odds ratio; RR, Relative risk; SD, Standard deviation; SGF, Slow graft function; SWIM, systematic review without meta-analysis; TSANZ, Transplantation Society of Australia and New Zealand; Tx, Transplant outcomes.</p>
</fn>
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