Evidence map›Paper›PMID 40389528›Full record

ArticleScientific reports2025

Assessing health care disparities in US organ procurement organizations.

Wenbo Wu, Joseph M Messana, Nicholas Hartman, Lonnie Barnes, Randall S Sung, Tempie Shearon, Abhijit Naik, John C Magee, Jonathan Segal, Claudia Dahlerus and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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. Contribution of donor hospital characteristics to deceased donor organ recovery rates.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
    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

15 authors.

Wenbo WuDivision of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, USA. wenbo.wu@med.nyu.edu.
Joseph M MessanaKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Nicholas HartmanKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Lonnie BarnesKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Randall S SungKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Tempie ShearonKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Abhijit NaikKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
John C MageeKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Jonathan SegalKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Claudia DahlerusKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Robin PadillaKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Ashley EckardKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Yang CasherKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Jennifer SardoneKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.
Kevin HeKidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI, USA.

Funding

Improve Statistical Methods for Profiling of Healthcare ProvidersR01DK129539 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Zhi Kevin He · 2022 to 2026
$1.6M
Alzheimer's Association AARG231077773Centers for Medicare and Medicaid Services 75FCMC21C0035NIDDK NIH HHS R01 DK129539NIDDK NIH HHS R01DK129539
6 · The paper itself

Abstract

There is extensive system-wide evidence of disparities in access to organ transplantation in the US based on race, ethnicity, and socioeconomic status. However, little information is available regarding care disparities among US organ procurement organizations (OPOs). Commissioned by the US Centers for Medicare and Medicaid Services (CMS), we studied racial/ethnic disparities in organ donation and transplantation across and within OPOs. Based on the 2020 CMS final rule, we calculated OPO donation and organ transplantation rates with 95% confidence intervals for racial (Black, White, and Asian American and Pacific Islander, AAPI) and ethnic (Hispanic and non-Hispanic) groups. OPOs were ranked with national rates as references and classified according to the CMS 3-tier system. Of the 58 OPOs, 8 and 4 had donation rates lower for Black and AAPI donors than for White donors; 21 and 18 had organ transplantation rates lower for Black and AAPI donors than for White donors; 1 and 1 had a donation rate or organ transplantation rate lower for Hispanic donors than for non-Hispanic donors. Significant racial/ethnic disparities in organ donation and transplantation exist among many OPOs, whereas the overall OPO performance is dominated by White and non-Hispanic donors. These disparities may be influenced by variations and structural barriers in resource access, donor identification, transplantation referral, and waitlisting processes-some of which lie partially outside the direct control of OPOs and disproportionately affect disadvantaged populations. Results support equitable organ donation and allocation through enhanced awareness of health care disparities, increased accountability of OPOs, and informed policies and interventions.

Indexed as

Healthcare DisparitiesTissue and Organ ProcurementCenters for Medicare and Medicaid Services, U.S.EthnicityHealth Services AccessibilityHumansOrgan TransplantationTissue DonorsUnited StatesCaterpillar plotOrgan donation and transplantationProvider profilingRacial and ethnic disparities

Identifiers

PMID40389528
PMCPMC12089327

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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.