Evidence map›Paper›PMID 41955246›Full record

ArticlePloS one2026

Association of medicaid expansion with lung cancer-specific and overall mortality: A difference-in-differences analysis.

Oluwasegun Akinyemi, Mojisola Fasokun, Akachukwu Eze, Nkemdirim Ugochukwu, Sumaiyya Arshad, Orimisan Belie, Kakra Hughes, Edward Cornwell Iii, Gal Levy

Abstract read
In one paragraph

Article in PloS one, 2026. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Oluwasegun AkinyemiThe Clive O Callender Outcomes Research Center, Howard University College of Medicine, Washington District of Columbia, United States of America.
Mojisola FasokunDepartment of Epidemiology, University of Alabama at Birmingham, Alabama, United States of America.
Akachukwu EzeThe Clive O Callender Outcomes Research Center, Howard University College of Medicine, Washington District of Columbia, United States of America.ORCID https://orcid.org/0009-0004-7521-2224
Nkemdirim UgochukwuThe Clive O Callender Outcomes Research Center, Howard University College of Medicine, Washington District of Columbia, United States of America.
Sumaiyya ArshadDepartment of Surgery, Howard University College of Medicine, Washington District of Columbia, United States of America.
Orimisan BelieDepartment of Oncology and Tumor Biology, Georgetown University, Washington District of Columbia, United States of America.
Kakra HughesDepartment of Surgery, Howard University College of Medicine, Washington District of Columbia, United States of America.
Edward Cornwell IiiDepartment of Surgery, Howard University College of Medicine, Washington District of Columbia, United States of America.
Gal LevyDepartment of Surgery, Howard University College of Medicine, Washington District of Columbia, United States of America.

Funding

Sleep Disorders in Adults with Sickle Cell Disease: Frequency, Associations with Cardiovascular and Pain Indicators, and Responses to TreatmentU54MD007597 · NIMHD · HOWARD UNIVERSITY · PI BYRON D. FORD · 2019 to 2026
$37.7M
NIMHD NIH HHS U54 MD007597
6 · The paper itself

Abstract

introductionMedicaid expansion under the Affordable Care Act (ACA) sought to improve access to timely cancer diagnosis and treatment among low‑income populations. Lung cancer remains the leading cause of cancer-related mortality in the United States, and disparities in outcomes may be sensitive to shifts in insurance coverage. This study evaluates the association between Medicaid expansion and both cancer-specific mortality and overall mortality among adults with lung cancer in California (expansion state) compared with Texas (non-expansion state).

methodsWe conducted a retrospective cohort study using SEER registry data (2007-2021) including adults aged 18-64 years diagnosed with lung cancer. The study periods were categorized as pre-ACA (2007-2013), washout year (2014), and post-ACA (2015-2021). Difference‑in‑differences (DiD) Cox proportional hazards models estimated the change in the hazard of cancer‑specific and overall mortality in California relative to Texas after Medicaid expansion, adjusting for age, sex, race/ethnicity, stage, county‑level income, and treatment. Subgroup analyses evaluated heterogeneity by race/ethnicity, disease stage, income, and treatment modality.

resultsAmong 119,937 individuals with lung cancer, 52.1% resided in California and 47.8% in Texas; sample distribution remained similar across pre‑ and post‑ACA periods. Medicaid expansion was associated with an 11.9% reduction in the hazard of cancer‑specific mortality (DiD HR 0.88; 95% CI, 0.85-0.91) and an 11.4% reduction in the hazard of overall mortality (DiD HR 0.89; 95% CI, 0.86-0.91). Mortality reductions varied across subgroups. Significant improvements were observed among White, Hispanic, and Asian/Pacific Islander patients, while no statistically significant change occurred among Black patients. Greater reductions in the hazard of death were seen among patients with distant-stage disease and those residing in higher‑income areas (≥$65,000). Treatment-stratified models showed decreases in mortality among individuals receiving surgery (10.2% reduction) and chemotherapy (8.4% reduction).

conclusionMedicaid expansion was associated with meaningful reductions in lung cancer mortality in California relative to Texas, with benefits concentrated among several racial and clinical subgroups. Persistent null effects among Black patients highlight inequities that insurance expansion alone does not eliminate.

Indexed as

Lung NeoplasmsMedicaidAdolescentAdultCaliforniaFemaleHumansInsurance CoverageMaleMiddle AgedPatient Protection and Affordable Care ActProportional Hazards ModelsRetrospective StudiesSEER ProgramTexasUnited States

Identifiers

PMID41955246
PMCPMC13065035

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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.