Evidence map›Paper›PMID 35434283›Full record

ArticleTransplantation direct2022

Early Impact of MMaT-3 Policy on Liver Transplant Waitlist Outcomes for Hepatocellular Carcinoma.

Anjiya Shaikh, Karthik Goli, Nicole E Rich, Jihane N Benhammou, Saira Khaderi, Ruben Hernaez, Vatche G Agopian, John M Vierling, Donghee Kim, Aijaz Ahmed and 4 more

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2022. 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
4.8field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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

14 authors at 5 institutions in 1 country.

Anjiya ShaikhDepartment of Medicine, University of Connecticut School of Medicine, Farmington, CT.
Karthik GoliDepartment of Student Affairs, Baylor College of Medicine, Houston, TX.
Nicole E RichDivision of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, TX.
Jihane N BenhammouPfleger Liver Institute, The Vatche and Tamar Manoukian Division of Digestive Diseases, University of California at Los Angeles, Los Angeles, CA.
Saira KhaderiLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
Ruben HernaezLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
Vatche G AgopianPfleger Liver Institute, The Vatche and Tamar Manoukian Division of Digestive Diseases, University of California at Los Angeles, Los Angeles, CA.
John M VierlingLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
Donghee KimDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Aijaz AhmedDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
John A GossLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
Abbas RanaLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
Fasiha KanwalLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
George CholankerilLiver Center, Division of Abdominal Transplantation, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, Houston, TX.
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · USStanford University · USSouthwestern Medical CenterUniversity of Connecticut · US

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI James Versalovic · 2001 to 2026
$28.3M
Risk Stratification for and Early Detection of Liver CancerU01CA230997 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Jagpreet Chhatwal, Hashem B El-Serag · 2018 to 2026
$6.4M
NCI NIH HHS U01 CA230997NIDDK NIH HHS P30 DK056338
6 · The paper itself

Abstract

To reduce the disparity in access to liver transplant (LT), United Network for Organ Sharing implemented an exception policy in May 2019, which capped hepatocellular carcinoma (HCC) exception score to the median Model for End-Stage Liver Disease (MELD) at transplant within the donor service area minus 3 points (MMaT-3) after the 6-mo wait period. We aimed to evaluate how this policy affected HCC waitlist outcomes. Methods: Using United Network for Organ Sharing data, we analyzed waitlist outcomes in HCC patients at the time they received exception points from in the pre-MMaT era (August 15, 2017, to November 15, 2018) and MMaT era (June 1, 2019, to August 30, 2020). Comparisons were made within the HCC group and HCC versus non-HCC (at time of listing) groups in the pre-MMaT and MMaT eras and regions were grouped as low, medium, and high MELD based on MMaT. Results: HCC group: LT probability within HCC patients decreased by 20% (subhazard ratio [sHR], 0.78; 95% confidence interval [CI], 0.74-0.85) between the eras and decreased by 41% in low MELD regions (sHR, 0.59; 95% CI, 0.52-0.66). Waitlist dropout was unchanged. Matched HCC versus non-HCC groups: HCC patients had 80% higher LT probability (sHR, 1.84; 95% CI, 1.71-1.99) than non-HCC patients in the pre-MMaT era; which decreased to a 14% higher LT probability in MMaT era. In low and medium regions, HCC patients had over twofold higher LT probability in the pre-MMaT era, which decreased to a ~20% higher probability (sHR, 1.14; 95% CI, 1.06-1.23) in the MMaT era. After implementation of the acuity circle policy, HCC patients had lower LT probability (sHR, 0.84; 95% CI, 0.74-0.94) than non-HCC patients. Conclusions: The geographic disparity between HCC and non-HCC patients has improved with the MMaT-3 policy. Despite lower LT probability for HCC patients, waitlist dropout was not adversely impacted.

Identifiers

PMID35434283
PMCPMC9005245
OpenAlexW4223485357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.