Literature DB >> 35644087

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

Randi M Williams1, Samuel A Kareff2, Paul Sackstein3, Tina Roy4, George Luta5, Chul Kim6, Kathryn L Taylor7, Martin C Tammemägi8.   

Abstract

INTRODUCTION: The 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.
METHODS: Using 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.
RESULTS: The 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).
CONCLUSIONS: Compared 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.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Lung cancer screening; PLCOm2012 risk prediction model; Race disparities; Sex disparities; United States Preventive Services Task Force

Mesh:

Year:  2022        PMID: 35644087      PMCID: PMC9248363          DOI: 10.1016/j.lungcan.2022.05.008

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   6.081


  12 in total

1.  Racial Differences in Outcomes within the National Lung Screening Trial. Implications for Widespread Implementation.

Authors:  Nichole T Tanner; Mulugeta Gebregziabher; Chanita Hughes Halbert; Elizabeth Payne; Leonard E Egede; Gerard A Silvestri
Journal:  Am J Respir Crit Care Med       Date:  2015-07-15       Impact factor: 21.405

2.  Incidence of Lung Cancer among Young Women.

Authors:  Ahmedin Jemal; Jiemin Ma; Rebecca L Siegel
Journal:  N Engl J Med       Date:  2018-09-06       Impact factor: 91.245

3.  Risk Prediction Model Versus United States Preventive Services Task Force Lung Cancer Screening Eligibility Criteria: Reducing Race Disparities.

Authors:  Mary M Pasquinelli; Martin C Tammemägi; Kevin L Kovitz; Marianne L Durham; Zanë Deliu; Kayleigh Rygalski; Li Liu; Matthew Koshy; Patricia Finn; Lawrence E Feldman
Journal:  J Thorac Oncol       Date:  2020-08-18       Impact factor: 15.609

4.  Cancer Statistics, 2021.

Authors:  Rebecca L Siegel; Kimberly D Miller; Hannah E Fuchs; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2021-01-12       Impact factor: 508.702

5.  Selection criteria for lung-cancer screening.

Authors:  Martin C Tammemägi; Hormuzd A Katki; William G Hocking; Timothy R Church; Neil Caporaso; Paul A Kvale; Anil K Chaturvedi; Gerard A Silvestri; Tom L Riley; John Commins; Christine D Berg
Journal:  N Engl J Med       Date:  2013-02-21       Impact factor: 91.245

6.  Performance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, Canada.

Authors:  Kevin Ten Haaf; Martin C Tammemägi; Susan J Bondy; Carlijn M van der Aalst; Sumei Gu; S Elizabeth McGregor; Garth Nicholas; Harry J de Koning; Lawrence F Paszat
Journal:  PLoS Med       Date:  2017-02-07       Impact factor: 11.069

7.  Evaluation of Revised US Preventive Services Task Force Lung Cancer Screening Guideline Among Women and Racial/Ethnic Minority Populations.

Authors:  Thomas J Reese; Chelsey R Schlechter; Lindsey N Potter; Kensaku Kawamoto; Guilherme Del Fiol; Cho Y Lam; David W Wetter
Journal:  JAMA Netw Open       Date:  2021-01-04

8.  USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study.

Authors:  Martin C Tammemägi; Mamta Ruparel; Alain Tremblay; Renelle Myers; John Mayo; John Yee; Sukhinder Atkar-Khattra; Ren Yuan; Sonya Cressman; John English; Eric Bedard; Paul MacEachern; Paul Burrowes; Samantha L Quaife; Henry Marshall; Ian Yang; Rayleen Bowman; Linda Passmore; Annette McWilliams; Fraser Brims; Kuan Pin Lim; Lin Mo; Stephen Melsom; Bann Saffar; Mark Teh; Ramon Sheehan; Yijin Kuok; Renee Manser; Louis Irving; Daniel Steinfort; Mark McCusker; Diane Pascoe; Paul Fogarty; Emily Stone; David C L Lam; Ming-Yen Ng; Varut Vardhanabhuti; Christine D Berg; Rayjean J Hung; Samuel M Janes; Kwun Fong; Stephen Lam
Journal:  Lancet Oncol       Date:  2021-12-11       Impact factor: 41.316

9.  Addressing Sex Disparities in Lung Cancer Screening Eligibility: USPSTF vs PLCOm2012 Criteria.

Authors:  Mary M Pasquinelli; Martin C Tammemägi; Kevin L Kovitz; Marianne L Durham; Zanë Deliu; Arielle Guzman; Kayleigh Rygalski; Li Liu; Matthew Koshy; Patricia Finn; Lawrence E Feldman
Journal:  Chest       Date:  2021-07-09       Impact factor: 9.410

10.  A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies.

Authors:  Kevin Ten Haaf; Mehrad Bastani; Pianpian Cao; Jihyoun Jeon; Iakovos Toumazis; Summer S Han; Sylvia K Plevritis; Erik F Blom; Chung Yin Kong; Martin C Tammemägi; Eric J Feuer; Rafael Meza; Harry J de Koning
Journal:  J Natl Cancer Inst       Date:  2020-05-01       Impact factor: 13.506

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