Evidence map›Paper›PMID 33030554›Full record

ArticleJAMA network open2020

Association of State Medicaid Expansion With Racial/Ethnic Disparities in Liver Transplant Wait-listing in the United States.

Lauren D Nephew, Kelly Mosesso, Archita Desai, Marwan Ghabril, Eric S Orman, Kavish R Patidar, Chandrashekhar Kubal, Mazen Noureddin, Naga Chalasani

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Affordable Care Act Improves Access, Survival, and Racial Disparities of Patients With Liver Disease: A Systematic Review.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  9. Article
  10. Community-Level Factors Associated with Hepatocellular Carcinoma Incidence and Mortality: An Observational Registry Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Observational
  11. Association of state Medicaid expansion policies with pediatric liver transplant outcomes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  12. Article
  13. Review
  14. Tools to Measure the Impact of Structural Racism and Discrimination on Gastrointestinal and Hepatology Disease Outcomes: A Scoping Review.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    Article
  15. Review
  16. Article
  17. Changes in County-Level Economic Prosperity Are Associated With Liver Disease-Related Mortality Among Working-Age Adults.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Article
  18. Article
  19. Article
  20. 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.

Lauren D NephewDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis.
Kelly MosessoDepartment of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis.
Archita DesaiDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis.
Marwan GhabrilDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis.
Eric S OrmanDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis.
Kavish R PatidarDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis.
Chandrashekhar KubalDivision of Organ Transplantation, Department of Surgery, Indiana University School of Medicine, Indianapolis.
Mazen NoureddinDivision of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Naga ChalasaniDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis.

Funding

Translating Measures of Visual Experience to Children with Autism and Down SyndromeKL2TR002530 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI ROBB, SHERI L · 2018 to 2022
$4.8M
NCATS NIH HHS KL2 TR002530
6 · The paper itself

Abstract

Importance: Millions of Americans gained insurance through the state expansion of Medicaid, but several states with large populations of racial/ethnic minorities did not expand their programs. Objective: To investigate the implications of Medicaid expansion for liver transplant (LT) wait-listing trends for racial/ethnic minorities. Design, Setting, and Participants: A cohort study was performed of adults wait-listed for LT using the United Network of Organ Sharing database between January 1, 2010, and December 31, 2017. Poisson regression and a controlled, interrupted time series analysis were used to model trends in wait-listing rates by race/ethnicity. The setting was LT centers in the United States. Main Outcomes and Measures: (1) Wait-listing rates by race/ethnicity in states that expanded Medicaid (expansion states) compared with those that did not (nonexpansion states) and (2) actual vs predicted rates of LT wait-listing by race/ethnicity after Medicaid expansion. Results: There were 75 748 patients (median age, 57.0 [interquartile range, 50.0-62.0] years; 48 566 [64.1%] male) wait-listed for LT during the study period. The cohort was 8.9% Black and 16.4% Hispanic. Black patients and Hispanic patients were statistically significantly more likely to be wait-listed in expansion states than in nonexpansion states (incidence rate ratio [IRR], 1.54 [95% CI, 1.44-1.64] for Black patients and 1.21 [95% CI, 1.15-1.28] for Hispanic patients). After Medicaid expansion, there was a decrease in the wait-listing rate of Black patients in expansion states (annual percentage change [APC], -4.4%; 95% CI, -8.2% to -0.6%) but not in nonexpansion states (APC, 0.5%; 95% CI, -4.0% to 5.2%). This decrease was not seen when Black patients with hepatitis C virus (HCV) were excluded from the analysis (APC, 3.1%; 95% CI, -2.4% to 8.9%), suggesting that they may be responsible for this expansion state trend. Hispanic Medicaid patients without HCV were statistically significantly more likely to be wait-listed in the post-Medicaid expansion era than would have been predicted without Medicaid expansion (APC, 13.2%; 95% CI, 4.0%-23.2%). Conclusions and Relevance: This cohort study found that LT wait-listing rates have decreased for Black patients with HCV in states that expanded Medicaid. Conversely, wait-listing rates have increased for Hispanic patients without HCV. Black patients and Hispanic patients may have benefited differently from Medicaid expansion.

Indexed as

AdultAgedBlack or African AmericanBlack PeopleEthnicityFemaleHealthcare DisparitiesHispanic or LatinoHumansInsurance CoverageLiver TransplantationMaleMedicaidMiddle AgedMinority GroupsPatient Protection and Affordable Care Act

Identifiers

PMID33030554
PMCPMC7545310

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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.