Evidence map›Paper›PMID 35182000›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2022

Dynamic impact of liver allocation policy change on donor utilization.

Ethan Chan, April J Logan, Jeffrey M Sneddon, Navdeep Singh, Guy N Brock, William K Washburn, Austin D Schenk

Open access · hybridAbstract 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, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 31 citations in OpenAlex.

  1. Exploring Disease-Specific Waitlist Outcomes in Simultaneous Liver-Kidney Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  2. Geographic variation in utilization of deceased donor livers in the United States in the era of advanced perfusion.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
    Article
  3. Article
  4. The Public Health Service "Increased Risk" 2020 Policy Change Has not Improved Organ Utilization in the United States: A Nationwide Cohort Study.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  5. Dynamic impact of liver allocation policy change on donor utilization.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Ethan ChanDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0002-3109-3989
April J LoganDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0002-5811-1294
Jeffrey M SneddonDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0003-1018-2824
Navdeep SinghDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0003-2879-5768
Guy N BrockDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0001-5317-079X
William K WashburnDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0002-2798-2951
Austin D SchenkDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0003-4877-1042
The Ohio State University Wexner Medical Center · US

Funding

The Ohio State University Center for Clinical and Translational Science UL1TR00273
6 · The paper itself

Abstract

Liver allocation policy was changed to reduce variance in median MELD scores at transplant (MMaT) in February 2020. "Acuity circles" replaced local allocation. Understanding the impact of policy change on donor utilization is important. Ideal (I), standard (S), and non-ideal (NI) donors were defined. NI donors include older, higher BMI donors with elevated transaminases or bilirubin, history of hepatitis B or C, and all DCD donors. Utilization of I, S, and NI donors was established before and after allocation change and compared between low MELD (LM) centers (MMaT ≤ 28 before allocation change) and high MELD (HM) centers (MMaT > 28). Following reallocation, transplant volume increased nationally (67 transplants/center/year pre, 74 post, p .0006) and increased for both HM and LM centers. LM centers significantly increased use of NI donors and HM centers significantly increased use of I and S donors. Centers further stratify based on donor utilization phenotype. A subset of centers increased transplant volume despite rising MMaT by broadening organ acceptance criteria, increasing use of all donor types including DCD donors (98% increase), increasing living donation, and transplanting more frequently for alcohol associated liver disease. Variance in donor utilization can undermine intended effects of allocation policy change.

Indexed as

End Stage Liver DiseaseLiver TransplantationTissue and Organ ProcurementHumansPolicyTissue DonorsWaiting Listsdonor riskdonor risk indexdonor utilizationgeographic disparitiesliver allocationliver allocation policyliver redistributionliver redistrictingmarginal donorsmedian MELD at transplantMMaTnon-ideal donors

Identifiers

PMID35182000
PMCPMC9544006
OpenAlexW4212850775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.