Evidence map›Paper›PMID 42573133›Full record

ArticleClinical transplantation2026

Hypothermic Machine Perfusion in Deceased Donor Kidney Transplantation: Provider and Transplant Center Practices and Perspectives.

Beatrice P Concepcion, Laura A Binari, Vasanthi Balaraman, Angie Nishio-Lucar, Anju Yadav, Ankita Patel, Kenneth J Woodside, Krista L Lentine, M Lee Sanders, Oluwafisayo O Adebiyi and 5 more

Abstract read
In one paragraph

Article in Clinical transplantation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Beatrice P ConcepcionUniversity of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-0576-6756
Laura A BinariVanderbilt University Medical Center, Nashville, Tennessee, USA.
Vasanthi BalaramanUniversity of Tennessee Health Science Center, Memphis, Tennessee, USA.ORCID https://orcid.org/0009-0004-5944-0366
Angie Nishio-LucarUniversity of Virginia, Charlottesville, Virginia, USA.
Anju YadavJohns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-0785-8467
Ankita PatelRecanati-Miller Transplantation Institute, The Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID https://orcid.org/0000-0001-5535-9908
Kenneth J WoodsideSharing Hope South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0002-7495-3758
Krista L LentineSSM Health Saint Louis University Hospital Transplant Center, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-9423-4849
M Lee SandersUniversity of Iowa Health Care, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0002-5968-9899
Oluwafisayo O AdebiyiIndiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-3212-5831
Sabiha M HussainPenn Transplant Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-2332-828X
Shikha MehtaUniversity of Alabama, Birmingham, Alabama, USA.
Vignesh ViswanathanUniversity of Alabama, Birmingham, Alabama, USA.
Xingxing S ChengStanford University Transplant Center, Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-0542-8749
Ronald F ParsonsPenn Transplant Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-9243-1582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypothermic machine perfusion (HMP), an organ preservation technique used in deceased donor kidney transplantation, improves early outcomes compared to traditional static cold storage while also providing a loosely validated organ viability assessment.

methodsWe designed a survey to better understand the practices, perceptions, and barriers to utilization of HMP. Surgeons, nephrologists, and coordinators were invited to participate in the survey via email.

resultsRespondents (90% transplant surgeons) from 88 transplant centers which utilize HMP (35% of active kidney transplant centers) participated, representing 63% of total transplant volume in 2024. Respondents strongly agreed that HMP is helpful in kidney selection (92%), reduces delayed graft function (90%), and allows for scheduling flexibility (91%). A majority (74%) answered that the Organ Procurement Organization (OPO exclusively pumps kidneys. The most cited barrier to HMP use was OPO refusal (58%). Thresholds for resistance and flow varied widely with over 2/3 of respondents citing a specified acceptable cut-off. Most respondents answered "sometimes" (60%) or "yes" (20%) that they would decline a kidney if HMP could not be accomplished for a kidney they wished to be pumped. Perceived pitfalls were underutilization of kidneys due to incorrect or inaccurate perfusion parameters, logistical challenges and costs of pumping, inexperience and technical difficulties leading to organ or vasculature injury, and lack of standardization in practice.

conclusionsHMP is used as a tool to assess organ viability and to overcome logistical hurdles by improving flexibility in operative timing. OPOs play a critical role in the ability to perform HMP.

Indexed as

Hypothermia, InducedKidney TransplantationOrgan PreservationPerfusionPractice Patterns, Physicians'Tissue and Organ ProcurementTissue DonorsCadaverFollow-Up StudiesGraft SurvivalHumansPrognosisSurveys and Questionnairescold ischemia timedeceased donor kidneysdelayed graft functionkidney transplantationmachine perfusionorgan procurement

Identifiers

PMID42573133
PMCPMC13455452

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.