Evidence map›Paper›PMID 35644087›Full record

ArticleLung cancer (Amsterdam, Netherlands)2022

Race & sex disparities related to low-dose computed tomography lung cancer screening eligibility criteria: A lung cancer cases review.

Randi M Williams, Samuel A Kareff, Paul Sackstein, Tina Roy, George Luta, Chul Kim, Kathryn L Taylor, Martin C Tammemägi

Open access · greenAbstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Pack-Year Smoking History: An Inadequate and Biased Measure to Determine Lung Cancer Screening Eligibility.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  5. Article
  6. 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

8 authors at 4 institutions in 2 countries.

Randi M WilliamsDepartment of Oncology, Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 2115 Wisconsin Avenue, NW Suite 300, Washington, DC 20007, United States. Electronic address: rmw27@georgetown.edu.
Samuel A KareffDepartment of Medicine, University of Miami Sylvester Comprehensive Cancer Center, Jackson Memorial Hospital, 1475 NW 12th Ave, Miami, FL 33136, United States. Electronic address: s.kareff@miami.edu.
Paul SacksteinDepartment of Medicine, Georgetown University Medical Center, 3800 Reservoir Road, NW, Washington, DC 20007, United States. Electronic address: Paul.E.Sackstein@medstar.net.
Tina RoyDepartment of Medicine, Georgetown University Medical Center, 3800 Reservoir Road, NW, Washington, DC 20007, United States. Electronic address: Tina.Roy@medstar.net.
George LutaDepartment of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, 4000 Reservoir Rd NW, Washington, DC 20057, United States. Electronic address: george.luta@georgetown.edu.
Chul KimDepartment of Medicine, Georgetown University Medical Center, 3800 Reservoir Road, NW, Washington, DC 20007, United States; Division of Hematology and Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States. Electronic address: Chul.Kim@gunet.georgetown.edu.
Kathryn L TaylorDepartment of Oncology, Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 2115 Wisconsin Avenue, NW Suite 300, Washington, DC 20007, United States. Electronic address: TAYLORKL@georgetown.edu.
Martin C TammemägiDepartment of Health Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, Ontario L2S 3A1, Canada. Electronic address: martin.tammemagi@brocku.ca.
Georgetown University · USBrock University · CAGeorgetown University Medical Center · USUniversity of Miami · US

Funding

Integrating Evidence-Based Smoking Cessation Interventions into Lung Cancer Screening Programs: A Randomized TrialR01CA207228 · NCI · GEORGETOWN UNIVERSITY · PI TAYLOR, KATHRYN L · 2016 to 2020
$3.5M
A Multilevel intervention to address health disparities in lung cancer screeningK99CA256515 · NCI · GEORGETOWN UNIVERSITY · PI WILLIAMS, RANDI M. · 2021 to 2022
$236k
NCI NIH HHS K99 CA256515NCI NIH HHS R01 CA207228
6 · The paper itself

Abstract

introductionThe United States Preventive Services Task Force (USPSTF) recommendations do not account for race and sex differences in lung cancer risk. We compared the sensitivity for finding lung cancer cases eligible for lung cancer screening (LCS) by USPSTF 2013 recommendations versus the PLCOm2012 model at an equivalent threshold.

methodsUsing Georgetown University Hospital tumor registry, we identified lung cancer cases (≥55 years old) between 2014 and 2018. Medical chart review collected age, sex, race, education, smoking, and clinical characteristics. We compared the percentage meeting eligibility criteria overall, and by race and sex.

resultsThe cases (N = 447) were 36.6% Black and 52.6% female. The PLCOm2012 and USPSTF 2013 criteria identified 71.4% and 45.6% of cases, respectively (p < 0.0001). This difference was consistent across race and sex sub-groups (p < 0.0001). The PLCOm2012 was more sensitive than the USPSTF in Blacks (69.9% vs. 46.6%, p < 0.0001) and in women (69.8% vs. 41.3%, p < 0.0001). The USPSTF had poor sensitivity for both race groups (Black 46.6%, White 45.9%, p = 0.886) and had lower sensitivity in women vs. men (41.3% vs. 51.4%, p = 0.032). The PLCOm2012 had higher sensitivities in women and men, and difference between sexes was not significant (69.8% vs. 72.6%, p = 0.506).

conclusionsCompared to the USPSTF 2013 recommendations, the PLCOm2012 model selected a larger proportion of lung cancer cases in all race-sex strata and removed the sex disparity observed for the USPSTF. The PLCOm2012 risk model could be used to identify those who will benefit from LCS.

Indexed as

Early Detection of CancerLung NeoplasmsFemaleHumansMaleMass ScreeningMiddle AgedRiskSmokingTomography, X-Ray ComputedUnited StatesLung cancer screeningPLCOm2012 risk prediction modelRace disparitiesSex disparitiesUnited States Preventive Services Task Force

Identifiers

PMID35644087
PMCPMC9248363
OpenAlexW4280569448

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.