Evidence map›Paper›PMID 39543973›Full record

ArticleClinical transplantation2024

Variation Across Organ Procurement Organizations in Deceased-Donor Kidney Offer Notification Practices.

David C Cron, Arnold E Kuk, Layla Parast, S Ali Husain, Vanessa M Welten, Miko Yu, Sumit Mohan, Joel T Adler

Abstract read
In one paragraph

Article in Clinical transplantation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Decreasing efficiency in deceased donor kidney offer notifications under the new distance-based kidney allocation system.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  2. Optimizing kidney allocation: challenges and solutions.Current opinion in organ transplantation · 2025
    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

8 authors.

David C CronDepartment of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9488-6847
Arnold E KukBiomedical Data Sciences Hub, Dell Medical School at the University of Texas at Austin, Austin, Texas, USA.
Layla ParastDepartment of Statistics and Data Science, University of Texas at Austin, Austin, Texas, USA.
S Ali HusainDepartment of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-1823-0117
Vanessa M WeltenDepartment of Surgery at Brigham and Women's, Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-8775-5857
Miko YuDepartment of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA.ORCID https://orcid.org/0000-0001-5491-0278
Sumit MohanDepartment of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-5305-9685
Joel T AdlerDivision of Transplantation, Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, Texas, USA.ORCID https://orcid.org/0000-0001-8190-3444

Funding

Evaluating the role of telehealth in patients with end stage kidney disease (ESKD)K08HS028476 · AHRQ · UNIVERSITY OF TEXAS AT AUSTIN · PI Joel Thomas Adler · 2022 to 2026
$721k
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
A mixed-methods approach to identify factors determining utilization of marginal quality deceased donor livers for transplantationF32DK128981 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CRON, DAVID COULTON · 2021 to 2022
$146k
Agency for Healthcare Research and Quality K08HS028476AHRQ HHS K08 HS028476American Society of Transplant Surgeons Collaborative Scientist GrantNIDDK NIH HHS F32 DK128981NIDDK NIH HHS K23 DK133729NIH HHS F32DK128981NIH HHS K23DK133729
6 · The paper itself

Abstract

introductionHow offer notifications are distributed early in the kidney allocation timeline, including how widely they are offered, is unclear. A better understanding of offer notification practices across organ procurement organizations (OPOs) may identify opportunities for more efficient allocation.

methodsWe merged the Scientific Registry of Transplant Recipients potential transplant recipient file with additional offer notification time stamps to identify 54 631 deceased-donor kidney match runs from 2017 to 2023. Offer notifications for a given match run are sent to candidates/centers in "batches." We quantified the number of offers in the initial batch-which theoretically reflects the OPO's initial estimate of how widely a kidney should be offered-and compared this metric across OPOs.

resultsKidneys were offered to a median of 14 candidates (IQR 9-38) in the first batch of notifications, and this varied across OPOs from 3 to 746 candidates per initial batch. Batch size at the OPO-level did not correlate with rank at kidney placement or OPO nonuse rate. OPOs in the highest quartile of batch size sent more offers (median 100) than presumably necessary to place kidneys (median rank at placement 21), and OPOs in the lowest quartile of batch size sent fewer offers (6) than needed to place kidneys (rank at placement 19).

conclusionsOffer notification practices vary widely across OPOs, and many OPOs offer kidneys far more widely than necessary for placement. Optimization of offer notification practices may reduce unnecessary communications. Further research into allocation processes is needed to identify opportunities to improve efficiency of allocation for OPOs and transplant centers.

Indexed as

Kidney TransplantationRegistriesTissue and Organ ProcurementTissue DonorsFemaleFollow-Up StudiesHumansMalePrognosisWaiting Listscomplication: medical/metaboliclung disease: congenitalmental health

Identifiers

PMID39543973
PMCPMC11573248

What OpenQuestion holds

Textmetadata
LicenceTDM
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.