Evidence map›Paper›PMID 41591779›Full record

ArticleJAMA network open2026

Medicaid Expansion and Overall Mortality Among Women With Breast Cancer.

Oluwasegun Akinyemi, Oladayo Oyebanji, Mojisola Fasokun, Faith Abodunrin, Chioma Ekwunazu, Fadeke Ogunyankin, Babawale Oluborode, Kakra Hughes, Miriam Michael, Robin Williams and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Oluwasegun AkinyemiThe Clive O. Callender Outcomes Research Center, Howard University College of Medicine, Washington, DC.
Oladayo OyebanjiDepartment of Internal Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Mojisola FasokunDepartment of Epidemiology, University of Alabama at Birmingham.
Faith AbodunrinDepartment of Hematology and Oncology, University of Chicago, Chicago, Illinois.
Chioma EkwunazuThe Clive O. Callender Outcomes Research Center, Howard University College of Medicine, Washington, DC.
Fadeke OgunyankinDepartment of Research Data Science and Analytics, Cook Children's Health Care System: Cook Children's Medical Center, Fort Worth, Texas.
Babawale OluborodeDepartment of Surgery, Henry Ford Hospital, Detroit, Michigan.
Kakra HughesThe Clive O. Callender Outcomes Research Center, Howard University College of Medicine, Washington, DC.
Miriam MichaelDepartment of Obstetrics and Gynecology, Howard University College of Medicine, Washington, DC.
Robin WilliamsDepartment of Surgery, Howard University College of Medicine, Washington, DC.
Shari LawsonDepartment of Obstetrics and Gynecology, Howard University College of Medicine, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Medicaid expansion under the Patient Protection and Affordable Care Act (ACA) was designed to improve access to care and reduce health disparities. Its association with breast cancer mortality and related disparities remains unclear. Objectives: To evaluate the association between Medicaid expansion and overall mortality among women with breast cancer and to assess whether survival differs by race and ethnicity, disease stage, income, and treatment modality. Design, Setting, and Participants: This retrospective, hospital-based cohort study used a National Cancer Database cohort of 1 595 845 women aged 40 to 64 years with breast cancer who received a diagnosis from January 1, 2006, to December 31, 2021. States were classified as either Medicaid expansion or nonexpansion states. Statistical analyses were performed between January and July 2025. Exposure: Residence in a state that implemented Medicaid expansion by January 2014. Main Outcomes and Measures: The primary outcome was all-cause mortality. Policy effects were derived from difference-in-differences Cox proportional hazards regression models, reported as hazard ratios (HRs) and percentage change in hazard. Effect modification by race and ethnicity, disease stage, zip code-level income, and treatment was tested with 3-way interactions and joint Wald χ2 tests. Results: Of 1 595 845 women with breast cancer (mean [SD] age, 53.7 [6.8] years), 922 862 (57.8%) lived in early-expansion states, and 672 983 (42.2%) in nonexpansion states. Medicaid expansion was associated with lower overall mortality (HR, 0.95; 95% CI, 0.95-0.96; P < .001), a 4.8% relative hazard reduction vs nonexpansion. Hazard reductions were -3.4% (95% CI, -4.2% to -2.6%) for non-Hispanic White women, -4.3% (95% CI, -6.3% to -2.2%) for non-Hispanic Black women, and -19.0% (95% CI, -20.8% to -17.2%) for Hispanic women; associations for non-Hispanic women of other race or ethnicity were not significant. Lower mortality was most pronounced among patients with metastatic disease (-13.9%; 95% CI, -20.0% to -7.2%), those in the highest-income neighborhoods (-9.7%; 95% CI, -10.7% to -8.7%), and those receiving immunotherapy (-24.1%; 95% CI, -28.6% to -19.3%). Conclusions and Relevance: The findings of this cohort study suggest that Medicaid expansion under the ACA was associated with lower overall mortality among women aged 40 to 64 years with breast cancer. Benefits were uneven, underscoring persistent racial and ethnic and socioeconomic disparities and the need for targeted interventions.

Indexed as

Breast NeoplasmsMedicaidAdultCohort StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMiddle AgedPatient Protection and Affordable Care ActRetrospective StudiesSocioeconomic Disparities in HealthUnited States

Identifiers

PMID41591779
PMCPMC12848628

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.