Evidence map›Paper›PMID 38552545›Full record

ArticleLung cancer (Amsterdam, Netherlands)2024

Revisiting the lung cancer screening eligibility criteria to promote equity for Black individuals.

Abdi T Gudina, Charles Kamen, Sara J Hardy, Lee Kehoe, Eva Culakova, Ana-Paula Cupertino

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Real-World Smoking History Documentation and Identification of Lung Cancer Screening Candidates.American journal of respiratory and critical care medicine · 2025
    Article
  3. Lung Cancer Screening Uptake under the Revised United States Preventive Services Task Force Guideline: Assessing Disparities.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    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

6 authors.

Abdi T GudinaDepartment of Public Health Sciences at the University of Rochester, School of Medicine and Dentistry, NY, United States. Electronic address: Abdi_Gudina@urmc.rochester.edu.
Charles KamenDivision of Supportive Care in Cancer in the Department of Surgery at the University of Rochester, School of Medicine and Dentistry and the James P. Wilmot Cancer Institute at the University of Rochester, School of Medicine and Dentistry, NY, United States.
Sara J HardyDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, United States; Department of Neurology, University of Rochester Medical Center, Rochester, NY, United States.
Lee KehoeDivision of Supportive Care in Cancer in the Department of Surgery at the University of Rochester, School of Medicine and Dentistry and the James P. Wilmot Cancer Institute at the University of Rochester, School of Medicine and Dentistry, NY, United States.
Eva CulakovaDivision of Supportive Care in Cancer in the Department of Surgery at the University of Rochester, School of Medicine and Dentistry and the James P. Wilmot Cancer Institute at the University of Rochester, School of Medicine and Dentistry, NY, United States.
Ana-Paula CupertinoSurgical Health Outcomes and Reaching for Equity (SHORE), Department of Surgery, University of Rochester Medical Center, Rochester, NY, United States.

Funding

URCC NCORP Research BaseUG1CA189961 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, KAREN M. MUSTIAN · 2014 to 2026
$67.7M
NRSA Training CoreTL1TR002000 · NCATS · UNIVERSITY OF ROCHESTER · PI THAKAR, JUILEE, VAN WIJNGAARDEN, EDWIN · 2016 to 2024
$4.1M
Clinical and Translational Cancer Control Research Training ProgramT32CA102618 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, Gary R Morrow · 2019 to 2026
$2.7M
NCATS NIH HHS TL1 TR002000NCI NIH HHS T32 CA102618NCI NIH HHS UG1 CA189961
6 · The paper itself

Abstract

backgroundEarly detection using low-dose computed tomography reduces lung-cancer-specific mortality by 20% among high-risk individuals. Blacks are less likely than Whites to meet lung cancer screening (LCS) criteria under both the former and the updated United States Preventive Services Task Force (USPSTF) guidelines. The purpose of this study was to assess racial disparities in LCS eligibility and to propose tailored eligibility criteria for Blacks to enable equitable screening rate between Whites and Blacks.

methodsData for this study were obtained from the Behavioral Risk Factor Surveillance System (2017-2021). 101,552 subjects were included in the final analysis. By employing a systematic approach, we sought cut-off points at which Blacks were equally likely as Whites to be eligible for LCS. We evaluated the minimum age and smoking pack-years for Blacks while we retained the 2021 USPSTF criteria for Whites. The final decision was based on the minimum Wald's Chi-square statistics.

resultsThe model we employed identified cut-off points at which Blacks were equally likely as Whites to be eligible for LCS. Retaining the 2021 USPSTF criteria for Whites, the model discovered a new pair of points for Blacks by reducing the minimum age to 43 years and decreasing the cumulative number of cigarettes smoked to 15 pack-years. Based on these cut-off points, we created tailored criteria for Blacks. Under the tailored criteria, Blacks (OR: 1.00; 95 %CI: 0.88-1.14) had the same odds of eligibility for LCS as Whites. The odds of eligibility for LCS by sex under the tailored criteria did not differ significantly for Black men (OR: 1.02; 95 %CI: 0.85-1.24) and Black women (OR: 0.95; 95 %CI: 0.81-1.12) compared to their respective White counterparts.

conclusionsThese tailored criteria for Blacks eliminate the disparities between Blacks and Whites in LCS eligibility. Future studies should test the sensitivity and specificity of these tailored criteria.

Indexed as

Early Detection of CancerLung NeoplasmsAdultAgedBehavioral Risk Factor Surveillance SystemBlack or African AmericanEligibility DeterminationFemaleHealthcare DisparitiesHumansMaleMiddle AgedTomography, X-Ray ComputedUnited StatesWhiteEligibility criteriaLow-dose computed tomographyLung cancer screeningTailored criteriaUSPSTF

Identifiers

PMID38552545
PMCPMC11332250

What OpenQuestion holds

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Registered trials

None linked

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.