Evidence map›Paper›PMID 39758596›Full record

ArticleJTO clinical and research reports2025

Racial Disparities in Cancer Guideline-Concordant Treatment Using Surveillance, Epidemiology, and End Results Data for Patients With NSCLC.

Eric Ababio Anyimadu, Jacklyn M Engelbart, Jason Semprini, Amanda Kahl, Cameron Trentz, John M Buatti, Thomas L Casavant, Mary E Charlton, Guadalupe Canahuate

Abstract read
In one paragraph

Article in JTO clinical and research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

9 authors.

Eric Ababio AnyimaduDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.
Jacklyn M EngelbartDepartment of Epidemiology, University of Iowa, Iowa City, Iowa.
Jason SempriniDepartment of Public Health, Des Moines University, Des Moines, Iowa.
Amanda KahlDepartment of Epidemiology, University of Iowa, Iowa City, Iowa.
Cameron TrentzDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.
John M BuattiDepartment of Radiation Oncology, University of Iowa, Iowa City, Iowa.
Thomas L CasavantDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.
Mary E CharltonDepartment of Epidemiology, University of Iowa, Iowa City, Iowa.
Guadalupe CanahuateDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite efforts to achieve health care equality, racial/ethnic disparities persist in lung cancer survival in the United States, with non-Hispanic Black patients experiencing higher mortality compared with non-Hispanic Whites. Previous research often focused on single treatments, overlooking the broad range of options available. We aimed to highlight disparities in survival and receipt of comprehensive lung cancer treatment by developing a guideline-concordant initial treatment (GCIT) indicator based on disease stage and recommended treatment. Methods: Using data of the Surveillance, Epidemiology, and End Results on 377,370 patients with NSCLC, we derived a GCIT indicator based on National Comprehensive Cancer Network guidelines. Observed probabilities and logistic regression models adjusted for age, disease stage, and race were used to assess racial disparities in treatment and survival, with the Kaplan-Meier method evaluating survival rates. Racial/ethnic groups analyzed included non-Hispanic White, non-Hispanic Black, Asian/Pacific Islander, Hispanic, and American Indian/Alaska Native. Results: Non-Hispanic Black patients had lower odds of receiving GCIT (OR = 0.80; 95% confidence interval [CI]: 0.78-0.82) and surviving 2 years after diagnosis (OR = 0.80; 95% CI: 0.78-0.82). Non-Hispanic Asians had the highest odds of receiving GCIT (OR = 1.02; 95% CI: 0.99-1.05). Patients receiving GCIT had improved survival, with early stage patients experiencing median survival of 67 to 102 months, compared with 11 to 17 months for those without GCIT. Conclusion: Receiving GCIT considerably improves survival across all races, though disparities in receipt are observed. Interventions are needed to ensure equitable access to guideline-concordant care and reduce survival disparities for patients.

Indexed as

DisparitiesGuideline-concordant initial treatmentNon–small cell lung cancerSurvival

Identifiers

PMID39758596
PMCPMC11699381

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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.