Evidence map›Paper›PMID 33940109›Full record

ArticleKidney international2021

Trends and impact on cold ischemia time and clinical outcomes using virtual crossmatch for deceased donor kidney transplantation in the United States.

Chethan M Puttarajappa, Dana Jorgensen, Jonathan G Yabes, Kwonho Jeong, Adriana Zeevi, John Lunz, Amit D Tevar, Michele Molinari, Sumit Mohan, Sundaram Hariharan

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Donor Characteristics Associated With Graft Loss and Delayed Graft Function in Very-Aged Kidney Donors: An Observational Multicentric Study.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Observational
  3. Article
  4. Article
  5. Article
  6. Early Effect of the Circular Model of Kidney Allocation in the United States.Journal of the American Society of Nephrology : JASN · 2023
    Article
  7. Review
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

10 authors at 3 institutions in 1 country.

Chethan M PuttarajappaDepartment of Medicine, Renal-Electrolyte Division, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. Electronic address: puttarajappacm@upmc.edu.
Dana JorgensenDepartment of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jonathan G YabesCenter for Research on Healthcare Data, Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kwonho JeongCenter for Research on Healthcare Data, Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Adriana ZeeviDepartment of Pathology, University of Pittsburgh, Pittsburgh, USA.
John LunzTransplant Immunology Laboratory, LifeLink Foundation, Tampa, Florida, USA.
Amit D TevarDepartment of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Michele MolinariDepartment of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sumit MohanDepartment of Medicine, Division of Nephrology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Mailman School of Public Health, Columbia University, New York, New York, USA.
Sundaram HariharanDepartment of Medicine, Renal-Electrolyte Division, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USVA Pittsburgh Healthcare System · USLink Foundation · US

Funding

Utility of virtual crossmatch in deceased donor kidney transplantationK08DK119576 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PUTTARAJAPPA, CHETHAN · 2019 to 2023
$812k
NIDDK NIH HHS K08 DK119576
6 · The paper itself

Abstract

For assessing human leukocyte antigen compatibility in deceased donor kidney transplantation, virtual crossmatch is used as an alternative to physical crossmatch and has potential to reduce cold ischemia time. The 2014 United States kidney allocation system prioritized highly sensitized candidates but led to increased shipping of kidneys. Using data from the Scientific Registry of Transplant Recipients, we evaluated changes in virtual crossmatch use with the new allocation policy and the impact of virtual crossmatch use on cold ischemia time and transplant outcomes. This was a retrospective cohort study of adult deceased donor kidney recipients in the United States (2011-2018) transplanted with either 9,632 virtual or 71,839 physical crossmatches. Before allocation change, only 9% of transplants were performed relying on a virtual crossmatch. After the 2014 allocation change, this increased by 2.4%/year so that 18% transplants in 2018 were performed with just a virtual crossmatch. There was significant variation in virtual crossmatch use among transplant regions (range 0.7-36%) and higher use was noted among large volume centers. Compared to physical crossmatches, virtual crossmatches were significantly associated with shorter cold ischemia times (mean 15.0 vs 16.5 hours) and similar death-censored graft loss and mortality (both hazard ratios HR 0.99) at a median follow-up of 2.9 years. Thus, our results show that virtual crossmatch is an attractive strategy for shortening cold ischemia time without negatively impacting transplant outcomes. Hence, strategies to optimize use and reduce practice variation may allow for maximizing benefits from virtual crossmatch.

Indexed as

Cold IschemiaKidney TransplantationAdultGraft SurvivalHistocompatibility TestingHumansKidneyRetrospective StudiesTissue DonorsUnited Statescold ischemia timekidney allocation systemkidney transplantationvirtual crossmatch

Identifiers

PMID33940109
PMCPMC8384718
OpenAlexW3159887980

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.