Evidence map›Paper›PMID 39758136›Full record

ArticleJCO oncology advances2024

Disparities in Utilization of Immune Checkpoint Inhibitor Therapy Among Older Patients With Advanced Non-Small Cell Lung Cancer: A SEER-Medicare Analysis.

Danting Yang, Shama D Karanth, Hyung-Suk Yoon, Jae Jeong Yang, Xiwei Lou, Jiang Bian, Dongyu Zhang, Yi Guo, Lusine Yaghjyan, Tomi Akinyemiju and 3 more

Abstract read
In one paragraph

Article in JCO oncology advances, 2024. 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.

  1. Article
  2. Patient-reported quality-of-life outcomes in immune checkpoint inhibitor therapy: addressing gaps, capturing patient experience, and advancing the field.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  3. Observational
  4. Article
  5. 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

13 authors.

Danting YangDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, FL.ORCID https://orcid.org/0000-0002-0097-8581
Shama D KaranthUniversity of Florida Health Cancer Center, Gainesville, FL.
Hyung-Suk YoonUniversity of Florida Health Cancer Center, Gainesville, FL.ORCID https://orcid.org/0000-0001-6368-2684
Jae Jeong YangUniversity of Florida Health Cancer Center, Gainesville, FL.
Xiwei LouDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL.
Jiang BianUniversity of Florida Health Cancer Center, Gainesville, FL.ORCID https://orcid.org/0000-0002-2238-5429
Dongyu ZhangJohnson & Johnson MedTech, New Brunswick, NJ.
Yi GuoUniversity of Florida Health Cancer Center, Gainesville, FL.ORCID https://orcid.org/0000-0003-0587-4105
Lusine YaghjyanDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, FL.
Tomi AkinyemijuDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC.ORCID https://orcid.org/0000-0002-1412-3234
Estelamari RodriguezSylvester Comprehensive Cancer Center, University of Miami, Coral Gables, FL.ORCID https://orcid.org/0000-0001-8132-4573
Hiren J MehtaDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Florida, Gainesville, FL.
Dejana BraithwaiteDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, FL.ORCID https://orcid.org/0000-0001-8376-5903

Funding

University of Florida Health Cancer Center Support GrantP30CA247796 · NCI · UNIVERSITY OF FLORIDA · PI Alison Ivey · 2023 to 2026
$10.9M
Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2)R01CA284646 · NCI · UNIVERSITY OF FLORIDA · PI Dejana K Braithwaite, Michael K Gould · 2023 to 2026
$2.1M
NCI NIH HHS P30 CA247796NCI NIH HHS R01 CA284646
6 · The paper itself

Abstract

purposeIn the United States, there are disparities in access to care for patients with non-small cell lung cancer (NSCLC) on the basis of socioeconomic and racial/ethnic factors. This study investigates the association between race/ethnicity and the utilization of immune checkpoint inhibitor (ICI) therapy among older patients with advanced NSCLC (aNSCLC).

methodsThis retrospective study used data from the SEER-Medicare-linked database. The cohort included patients (age 66 years or older) diagnosed with aNSCLC (stage III/IV) between March 2015 and December 2017, and they were followed through December 2019. Race/ethnicity was categorized as non-Hispanic (NH)-White, NH-Black, Hispanic, and Other. ICI therapy utilization was determined by identifying any usage of ICI agents (nivolumab, pembrolizumab, atezolizumab, durvalumab, ipilimumab, and cemiplimab-rwlc) from the Medicare database. Multivariable logistic regression models assessed the association between race/ethnicity and ICI therapy utilization (yes, no). Effect measure modification analyses were conducted by sex, socioeconomic status, and comorbidity.

resultsThe final sample included 26,836 patients; 76.2% were NH-White, 10.1% NH-Black, 5.7% Hispanic, and 8.0% Other. The overall ICI therapy utilization proportion was 17.8%, varying across ethnicities: NH-Black 14.1%, Hispanic 16.3%, NH-White 18.4%, and Other 18.5%. In comparison with NH-White patients, NH-Black patients were 15% less likely to receive ICI therapy (adjusted odds ratio, 0.85 [95% CI, 0.75 to 0.96]). Furthermore, the association between race/ethnicity and utilization of ICI therapy was modified by comorbidity status, sex, and socioeconomic status.

conclusionNH-Black patients with aNSCLC were less likely to receive ICI therapy than their NH-White counterparts. Our findings indicate the racial/ethnic disparities in ICI therapy utilization and call for further interventions to optimize access to care.

Identifiers

PMID39758136
PMCPMC11698018

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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.