Evidence map›Paper›PMID 40209903›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2025

Underrecognition of deceased donor kidney out-of-sequence allocation due to increasing use of free-text coding.

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

Abstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Evolution of out-of-sequence liver allocation, 2019-2024.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
    Article
  3. Article
  4. Outcomes of Deceased Donor Kidney Transplants Allocated Out of Sequence in the United States.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Observational
  5. Article
  6. Article
  7. Out-of-Sequence Placement of Deceased Donor Kidneys Is Exacerbating Inequities in the United States.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Emma G TuckerDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA.
Miko E YuDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA; Columbia University Renal Epidemiology Group, 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.
Prateek V SahniDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA.
Jesse D ScholdDepartment of Epidemiology, School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA; Department of Surgery, 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; Columbia University Renal Epidemiology Group, New York, New York, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA. Electronic address: sm2206@columbia.edu.
Syed Ali HusainDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York, USA; Columbia University Renal Epidemiology Group, 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
Pathways to Mentorship and Research: Training the Next Generation Physician-ScientistsR25AI147393 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI VYAS, JATIN M · 2019 to 2024
$1.8M
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
NIAID NIH HHS R25 AI147393NIBIB 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

Out-of-sequence (OOS) allocation, the process by which organ procurement organizations (OPOs) can deviate from standard rank lists of potential recipients to expeditiously allocate deceased-donor kidneys, is increasing in the United States. We aimed to determine whether current OPO reporting practices obscure the extent of OOS allocation. Using match-run data for all US deceased-donor kidney transplants from 2021-2023, we defined miscoded OOS (mOOS) allocation transplants as those with use of the 799 or 898 OPO-initiated refusal codes (other, specify) with free-text responses clearly indicating OOS allocation and compared them with explicit OOS allocation, in which OOS transplants are appropriately coded using refusal codes 861 to 863. We found that the prevalence of mOOS allocation increased from 2021 (122 transplants) to 2023 (430 transplants) and accounted for 12% of all OOS transplants by 2023. Organs allocated via mOOS had a lower median kidney donor profile index than those allocated via explicit OOS (51% vs 55%, P < .01). While an increasing number of OPOs used mOOS throughout the study period, the practice remained concentrated overall, with 5 high-frequency OPOs performing 66% of mOOS allocations in 2023. These findings highlight the need for stricter oversight of organ allocation and underscore the responsibility of the Organ Procurement and Transplant Network to ensure proper data reporting.

Indexed as

Clinical CodingKidney TransplantationResource AllocationTissue and Organ ProcurementTissue DonorsCadaverFemaleHumansMaleUnited StatesWaiting Listsdeceased donorkidney allocationkidney transplantationorgan procurement and transplantation networkorgan procurement organization

Identifiers

PMID40209903
PMCPMC12310362

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.