Evidence map›Paper›PMID 40107362›Full record

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

Decreasing efficiency in deceased donor kidney offer notifications under the new distance-based kidney allocation system.

Miko Yu, Syed Ali Husain, Joel T Adler, Lindsey M Maclay, Kristen L King, Prateek V Sahni, David C Cron, Jesse D Schold, Sumit Mohan

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Miko YuDivision of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA.
Syed Ali HusainDivision of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, 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.
Lindsey M MaclayDivision of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA.
Kristen L KingColumbia University Renal Epidemiology Group, New York, New York, USA.
Prateek V SahniDivision of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA.
David C CronDepartment of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jesse D ScholdDepartment of Surgery, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA; Department of Epidemiology, School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.
Sumit MohanDivision of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, 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@cumc.columbia.edu.

Funding

Continuous Therapeutic Drug Monitoring of Antibiotics in CRRTR01DK126739 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOHAN, SUMIT · 2021 to 2024
$2.8M
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
Identifying and exploring solutions to the ethical challenges of ApoL1 testing of donors with recent African ancestry through mixed methods research with stakeholdersR01MD014161 · NIMHD · WASHINGTON UNIVERSITY · PI DUBOIS, JAMES M, MOHAN, SUMIT · 2019 to 2021
$1.2M
Increasing Minority Population Awareness through Community Teaching for Improved Organ Donation (IMPACT for Improved Organ Donation)R01DK114893 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOHAN, SUMIT · 2017 to 2021
$1.2M
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
NIDDK NIH HHS K23 DK133729NIDDK NIH HHS R01 DK114893NIDDK NIH HHS R01 DK126739NIDDK NIH HHS U01 DK116066NIDDK NIH HHS U01 DK130058NIMHD NIH HHS R01 MD014161
6 · The paper itself

Abstract

Organ Procurement Organizations (OPOs) recover deceased donor kidneys and place them with matched recipients according to ranked match runs of patients, but offer notification practices differ across the OPOs and have changed following updates to allocation policy (kidney allocation system 250 [KAS250]). This national registry study used batch notification data to quantify time spent on kidney allocation and identify variations in batch notification practices across OPOs before and after the KAS250 allocation system era. Overall allocation time between the first and last offer notifications increased from a median of 1 to 7 hours under the KAS250 allocation system. For match runs of unplaced kidneys, allocation time increased from a median of 18 to 28 hours. Out-of-sequence (OOS) allocation, used by OPOs to limit nonutilization due to excess cold ischemia time, more than doubled in frequency between 2018 and 2022, with median time from first offer to initiation of OOS varying across OPOs from 0 to 47 hours. Increasing rates of organ nonutilization and the observed allocation practice differences based on organ quality demonstrate the urgent need for new approaches to achieve more efficient placement of hard-to-place kidneys. Data-driven approaches to optimize kidney allocation efforts will help ensure fairness in a system that currently allows for wide practice variation and frequent OOS allocation.

Indexed as

Kidney TransplantationResource AllocationTissue and Organ ProcurementTissue DonorsCadaverHumansRegistriesWaiting Listsdeceased donor kidney allocationkidney transplant

Identifiers

PMID40107362
PMCPMC12558683

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.