Evidence mapPaperPMID 42160049Full record

ArticleJAMA network open2026

County-Level Structural Racism Indices and Racial Disparities in Lung Cancer Care.

Jacquelyne J Gaddy, Do H Lee, Jeph Herrin, James B Yu, Craig E Pollack, Lorraine T Dean, Geoff B Dougherty, Maureen E Canavan, Pamela R Soulos, Cary P Gross

Abstract read
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Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jacquelyne J GaddyCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.
Do H LeeCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.
Jeph HerrinCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.
James B YuCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.
Craig E PollackDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Nursing, Baltimore, Maryland.
Lorraine T DeanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Geoff B DoughertyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Maureen E CanavanCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.
Pamela R SoulosCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.
Cary P GrossCancer Outcomes, Public Policy and Effectiveness Research Center, Yale Cancer, Center, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The degree to which structural racism is associated with racial disparities in lung cancer care and outcomes is unknown. Objective: To evaluate the association between 2 measures of structural racism and quality of care and outcomes for Black and White patients with non-small cell lung cancer (NSCLC) and whether this association differs by patient race. Design, Setting, and Participants: This cross-sectional study was a retrospective analysis of Medicare beneficiaries diagnosed with NSCLC between 2013 and 2019 using Surveillance, Epidemiology, and End Results Program and Medicare data. Patient inclusion criteria were age older than 67 years at the time of diagnosis, continuous fee-for-service Part A and B Medicare coverage for 24 months before through 12 months after diagnosis, NSCLC histology, and non-Hispanic Black or non-Hispanic White race and ethnicity. The data analysis was performed between September 1, 2024, and April 1, 2025. Exposures: Two county-level measures of structural racism: the Structural Racism Effect Index, which measures deprivation, and County Structural Racism, which assesses racial dissimilarity between Black and White patients across multiple domains. Main Outcomes and Measures: The dichotomous outcomes included localized stage at diagnosis, stage-appropriate evaluation and treatment, and 2-year survival. Multivariable mixed-effects logistic regression was used to assess the association between each structural racism measure and outcome, including interaction terms to determine whether structural racism moderated the association between patient race and NSCLC care and outcomes. Results: Of 54 344 patients (mean [SD] age, 77.7 [6.6] years; 51.6% female), 10.3% were Black and 89.7% were White. A lower proportion of Black patients compared with White patients were diagnosed at a localized stage (30.9% vs 38.4%), received stage-appropriate evaluation and treatment (20.3% vs 28.0%), and survived 2 years after diagnosis (28.7% vs 36.6%). Among White patients, 2-year survival was significantly higher in counties in the highest dissimilarity quintile (estimated probability, 36.8%) vs the lowest (estimated probability, 30.4%), while there was no difference for Black patients (26.8% vs 27.8%). Accordingly, while there was no significant difference in probability of 2-year survival between Black and White patients in the lowest dissimilarity quintile, the disparity was significant in the highest quintile (-10.0%; 95% CI, -12.2% to -7.7%). Conclusions and Relevance: This cross-sectional study of racial disparities in NSCLC care found that residence in counties with higher structural racism (as measured by the dissimilarity index) was associated with lower mortality among White patients but not among Black patients. Quantifying structural racism and its association with cancer care delivery may identify targets that allow for improvement in quality of cancer care and mitigation of disparities.

Indexed as

Carcinoma, Non-Small-Cell LungHealthcare DisparitiesLung NeoplasmsRacismAgedAged, 80 and overBlack or African AmericanCross-Sectional StudiesFemaleHumansMaleMedicareRetrospective StudiesSEER ProgramUnited StatesWhite

Identifiers

PMID42160049
PMCPMC13191378

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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.