Evidence map›Paper›PMID 41779396›Full record

ArticleJAMA network open2026

Expedited Transplant Allocation Using a Paired Kidney Cohort.

Miko E Yu, S Ali Husain, Emma G Tucker, Prateek Sahni, David C Cron, Jesse D Schold, Joel T Adler, Sumit Mohan

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Miko E YuVagelos College of Physicians & Surgeons, Columbia University, New York, New York.
S Ali HusainVagelos College of Physicians & Surgeons, Columbia University, New York, New York.
Emma G TuckerVagelos College of Physicians & Surgeons, Columbia University, New York, New York.
Prateek SahniVagelos College of Physicians & Surgeons, Columbia University, New York, New York.
David C CronDepartment of Surgery, Massachusetts General Hospital, Boston.
Jesse D ScholdDepartment of Epidemiology, School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora.
Joel T AdlerDepartment of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin.
Sumit MohanVagelos College of Physicians & Surgeons, Columbia University, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Organ procurement organizations are increasingly turning to expedited (ie, out-of-sequence) allocation of deceased donor kidneys, citing maximal utility of kidneys at risk of nonuse. Objective: To identify and compare kidney pairs from the same donor from whom 1 kidney was transplanted in sequence and the other out of sequence. Design, Setting, and Participants: This retrospective cohort study used US kidney transplant registry data obtained from the Scientific Registry of Transplant Recipients to identify kidney transplant donors from whom at least 1 deceased donor kidney was transplanted out of sequence in 2020 through 2024. Main Outcomes and Measures: Incidence of unilateral out-of-sequence transplants, in which 1 kidney was placed in sequence and the other kidney from the same donor was placed out of sequence, and survival outcomes of recipients. Results: A total of 15 602 kidneys from 8544 deceased donors (5304 [62.1%] male; mean [SD] age at organ recovery, 44.4 [15.1] years) with at least 1 kidney transplanted out of sequence were included in the analysis. Of these, 4313 donors (50.5%) had a unilateral kidney placed out of sequence. Compared with recipients of unilateral in-sequence kidneys, recipients of unilateral out-of-sequence kidneys included a greater percentage of older (median [IQR] age at transplant, 60.0 [50.0-67.0] vs 57.0 [47.0-65.0] years), Asian (472 [10.9%] vs 282 [6.5%]), White (2391 [66.1%] vs 2197 [50.9%]), and male (2850 [66.1%] vs 2453 [56.9%]) recipients, as well as those with private insurance (1255 [29.1%] vs 990 [23.0%]) and preemptive transplant (739 [17.1%] vs 438 [10.2%]) (all P < .001). Unilateral out-of-sequence kidneys accounted for 38.2% of all out-of-sequence transplants over the course of the study period. From 2020 through 2024, unilateral out-of-sequence kidneys increased from 97 instances from 15 organ procurement organizations to 1698 kidneys from all 56 organizations in the US. The first instance of an out-of-sequence refusal code (ie, the point in the waiting list at which kidneys were first placed out of the standard sequence) decreased from median (IQR) sequence number 393 (155-889) in 2020 to 28 (11-77) in 2024. The proportion of donor-related reasons for refusal decreased 10% to 15% during the study period. In adjusted Cox models, outcomes for unilateral out-of-sequence transplant were not significantly different for patient survival (hazard ratio, 0.84 [95% CI, 0.70-1.02]; P = .08) or graft survival (hazard ratio, 0.87 [95% CI, 0.70-1.08]; P = .20), compared with unilateral in-sequence transplant. Conclusions and Relevance: Findings from this cohort study of unilateral out-of-sequence transplants highlight the importance of understanding donor and allocation factors that resulted in bypassing standard allocation and are critical to designing future iterations of the organ allocation system with improved organ use rates.

Indexed as

Kidney TransplantationTissue and Organ ProcurementTissue DonorsAdultCohort StudiesFemaleHumansMaleMiddle AgedRegistriesRetrospective StudiesUnited States

Identifiers

PMID41779396
PMCPMC12961519

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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.