Evidence map›Paper›PMID 42835064›Full record

ArticleKidney international reports2026

Characterizing Within-Center Placement of Out-of-Sequence Deceased-Donor Kidney Transplants.

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

Abstract read
In one paragraph

Article in Kidney international reports, 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

7 authors.

Emma G TuckerDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA.
Miko E YuDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA.
Joel T AdlerDepartment of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, Texas, USA.
David C CronDepartment of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jesse D ScholdDepartment of Epidemiology, School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA.
Sumit MohanDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA.
Syed Ali HusainDepartment of Surgery, NYU Langone Health, New York, New York, USA.

Funding

Continuous Therapeutic Drug Monitoring of Antibiotics in CRRTR01DK126739 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOHAN, SUMIT · 2021 to 2024
$2.8M
Towards rapid measurement of antibiotics in critical care settingR01EB032910 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREMERS, SERGE, LIN, QIAO · 2022 to 2025
$2.7M
India - Factors of CKDu in Uddanam Study (India-FOCUS)U01DK130058 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Vivekanand Jha, Sumit Mohan · 2021 to 2026
$2.6M
5/14 APOL1 Long-term Kidney Transplantation Outcomes Network (APOLLO) Clinical CenterU01DK116066 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Sumit Mohan, Deirdre Sawinski · 2017 to 2026
$2.5M
Using Decision Making Science to Optimize Deceased Donor Kidney AllocationK23DK133729 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HUSAIN, SYED ALI · 2022 to 2025
$678k
NIBIB NIH HHS R01 EB032910NIDDK NIH HHS K23 DK133729NIDDK NIH HHS R01 DK126739NIDDK NIH HHS U01 DK116066NIDDK NIH HHS U01 DK130058
6 · The paper itself

Abstract

Introduction: Deceased-donor kidney (DDK) allocation is intended to follow a ranked match-run of potential recipients. Organ procurement organizations (OPOs) can bypass this sequence and allocate kidneys "out-of-sequence" (OOS) to transplant centers, which then decide which of their candidates receives the kidney. We examine OOS placement practices within individual transplant centers. Methods: We included the 5 US transplant centers that performed the most OOS kidney transplants from 2021 to 2023, representing 1598 OOS transplants. Candidates were classified as "skipped" if their transplant center declined an OOS kidney on their behalf and allocated the kidney to a patient lower on the center's waitlist. "Never-skipped" candidates received OOS kidney transplants without having been skipped. For each OOS transplant, we assessed how often the top-ranked candidate was skipped. We used mixed effects models to determine factors associated with being skipped. Results: Among included centers, the top candidate was skipped in 98% of OOS placements. The median OOS recipient within-center match-run rank was 23. Skipped candidates were younger (56 vs. 63 years) and had more dialysis exposure than never-skipped patients. Fewer than 50% of skipped candidates received a DDK transplant later in the study period (through 2023), and those who did received kidneys with a median Kidney Donor Profile Index (KDPI) 13 points higher than their lowest-KDPI skipped offer. Conclusion: Younger candidates and those with longer dialysis durations were more likely to be skipped. A minority of skipped patients later received a lower KDPI (lower risk of graft failure) kidney. More transparency in OOS placement decisions is needed.

Indexed as

Deceased donorkidney allocationkidney transplantationorgan procurement and transplantation networkorgan procurement organization

Identifiers

PMID42835064
PMCPMC13634882

What OpenQuestion holds

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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.