Evidence map›Paper›PMID 39752448›Full record

ArticlePloS one2025

Disparities in time to treatment initiation of invasive lung cancer among Black and White patients in Tennessee.

Lohuwa Mamudu, Saanie Sulley, Paul H Atandoh, Joanne L Reyes, Raquibul A K M Bashar, Martin Whiteside, Archana J McEligot, Hadii M Mamudu, Faustine Williams

Abstract read
In one paragraph

Article in PloS one, 2025. 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. Geographic Access to Low-Dose CT Lung Cancer Screening in Tennessee: Disparities by Socioeconomic Variables, Rurality, and Appalachian Status.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    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

9 authors.

Lohuwa MamuduDepartment of Public Health, California State University, Fullerton, Fullerton, CA, United States of America.ORCID 0000-0002-5981-0038
Saanie SulleyNational Healthy Start Association, Washington, DC, United States of America.ORCID 0000-0001-7615-2164
Paul H AtandohDepartment of Mathematics, Mercer University, Macon, GA, United States of America.ORCID 0000-0002-2331-0875
Joanne L ReyesDepartment of Public Health, California State University, Fullerton, Fullerton, CA, United States of America.ORCID 0000-0002-5688-6336
Raquibul A K M BasharDepartment of Mathematics and Computer Science, Augustana College, Rock Island, IL, United States of America.
Martin WhitesideTennessee Department of Health, Tennessee Cancer Registry, Nashville, TN, United States of America.
Archana J McEligotDepartment of Public Health, California State University, Fullerton, Fullerton, CA, United States of America.
Hadii M MamuduDepartment of Health Services Management and Policy, College of Public Health, East Tennessee State University, Johnson City, TN, United States of America.
Faustine WilliamsDivision of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States of America.ORCID 0000-0002-7960-2463

Funding

Understanding Population Mental Health to Promote and Improve Mental Well-Being ZIAMD000015 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI WILLIAMS, FAUSTINE · 2020 to 2025
$2.9M
Intramural NIH HHS ZIA MD000015
6 · The paper itself

Abstract

backgroundEarly initiation of treatment for lung cancer has been shown to improve patient survival. The present study investigates disparities in time to treatment initiation of invasive lung cancer within and between Black and White patients in Tennessee.

methodsA population-based registry data of 42,970 individuals (Black = 4,480 and White = 38,490) diagnosed with invasive lung cancer obtained from the Tennessee Cancer Registry, 2005-2015, was analyzed. We conducted bivariate ANOVA tests to examine the difference in time to treatment initiation among independent factors, and multivariable Cox proportional hazard models to identify independent factors that influence median time to treatment initiation after diagnosis.

resultsWhen considering the estimate of the proportion of time to treatment initiation based on the combined influence of all independent factors (sex, age, race, marital, county of residence, health insurance, cancer stage, and surgical treatment), Black patients were generally more at risk of delayed treatment compared to Whites. Black patients aged <45 years (adjusted hazard ratio [aHR] = 1.40; 95% confidence interval [CI] = 1.01-1.94) and married White patients (aHR = 1.13; 95% CI = 1.07-1.18) had the highest increased risk of late treatment among their respective racial subgroups. In the general sample, patients with private health insurance had (aHR = 1.08; 95% CI = 1.01-1.16) higher risk of late treatment beyond 2.7 weeks compared to self-pay/uninsured patients. This was consistent among both Black and White subsamples. Patients with localized and regional lung cancer stages had a decreased risk of delayed treatment compared to those diagnosed at the distant stage among both Black and White patients.

conclusionsBlack patients were often at greater risk of late initiation of treatment for invasive lung cancer in Tennessee. Additional research is needed to understand factors influencing time to treatment initiation for Black patients in Tennessee. Further, cancer care resources are needed in Black communities to ensure timely treatment of invasive lung cancer, reduce disparities, and promote equitable care for all cancer patients.

Indexed as

Black or African AmericanHealthcare DisparitiesLung NeoplasmsTime-to-TreatmentWhiteAdultAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsRegistriesTennessee

Identifiers

PMID39752448
PMCPMC11698444

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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.