Importance: In 2018, only half of US women obtained all evidence-based cancer screenings. This proportion may have declined during the COVID-19 pandemic because of social distancing, high-risk factors, and fear. Objective: To evaluate optimal screening strategies in women who obtain some, but not all, US Preventive Services Task Force (USPSTF)-recommended cancer screenings. Design, Setting, and Participants: This modeling study was conducted from January 31, 2017, to July 20, 2020, and used 4 validated mathematical models from the National Cancer Institute's Cancer Intervention and Surveillance Modeling Network using data from 20 million simulated women born in 1965 in the US. Interventions: Forty-five screening strategies were modeled that combined breast, cervical, colorectal, and/or lung cancer (LC) screenings; restricted to 1, 2, 3 or 4 screenings per year; or all eligible screenings once every 5 years. Main Outcomes and Measures: Modeled life-years gained from restricted cancer screenings as a fraction of those attainable from full compliance with USPSTF recommendations (maximum benefits). Results were stratified by LC screening eligibility (LC-eligible/ineligible). We repeated the analysis with 2018 adherence rates, evaluating the increase in adherence required for restricted screenings to have the same population benefit as USPSTF recommendations. Results: This modeling study of 20 million simulated US women found that it was possible to reduce screening intensity to 1 carefully chosen test per year in women who were ineligible for LC screening and 2 tests per year in eligible women while maintaining 94% or more of the maximum benefits. Highly ranked strategies screened for various cancers, but less often than recommended by the USPSTF. For example, among LC-ineligible women who obtained just 1 screening per year, the optimal strategy frequently delayed breast and cervical cancer screenings by 1 year and skipped 3 mammograms entirely. Among LC-eligible women, LC screening was essential; strategies omitting it provided 25% or less of the maximum benefits. The top-ranked strategy restricted to 2 screenings per year was annual LC screening and alternating fecal immunochemical test with mammography (skipping mammograms when due for cervical cancer screening, 97% of maximum benefits). If adherence in a population of LC-eligible women obtaining 2 screenings per year were to increase by 1% to 2% (depending on the screening test), this model suggests that it would achieve the same benefit as USPSTF recommendations at 2018 adherence rates. Conclusions and Relevance: This modeling study of 45 cancer screening strategies suggests that women who are noncompliant with cancer screening guidelines may be able to reduce USPSTF-recommended screening intensity with minimal reduction in overall benefits.
Importance: In 2018, only half of US women obtained all evidence-based cancer screenings. This proportion may have declined during the COVID-19 pandemic because of social distancing, high-risk factors, and fear. Objective: To evaluate optimal screening strategies in women who obtain some, but not all, US Preventive Services Task Force (USPSTF)-recommended cancer screenings. Design, Setting, and Participants: This modeling study was conducted from January 31, 2017, to July 20, 2020, and used 4 validated mathematical models from the National Cancer Institute's Cancer Intervention and Surveillance Modeling Network using data from 20 million simulated women born in 1965 in the US. Interventions: Forty-five screening strategies were modeled that combined breast, cervical, colorectal, and/or lung cancer (LC) screenings; restricted to 1, 2, 3 or 4 screenings per year; or all eligible screenings once every 5 years. Main Outcomes and Measures: Modeled life-years gained from restricted cancer screenings as a fraction of those attainable from full compliance with USPSTF recommendations (maximum benefits). Results were stratified by LC screening eligibility (LC-eligible/ineligible). We repeated the analysis with 2018 adherence rates, evaluating the increase in adherence required for restricted screenings to have the same population benefit as USPSTF recommendations. Results: This modeling study of 20 million simulated US women found that it was possible to reduce screening intensity to 1 carefully chosen test per year in women who were ineligible for LC screening and 2 tests per year in eligible women while maintaining 94% or more of the maximum benefits. Highly ranked strategies screened for various cancers, but less often than recommended by the USPSTF. For example, among LC-ineligible women who obtained just 1 screening per year, the optimal strategy frequently delayed breast and cervical cancer screenings by 1 year and skipped 3 mammograms entirely. Among LC-eligible women, LC screening was essential; strategies omitting it provided 25% or less of the maximum benefits. The top-ranked strategy restricted to 2 screenings per year was annual LC screening and alternating fecal immunochemical test with mammography (skipping mammograms when due for cervical cancer screening, 97% of maximum benefits). If adherence in a population of LC-eligible women obtaining 2 screenings per year were to increase by 1% to 2% (depending on the screening test), this model suggests that it would achieve the same benefit as USPSTF recommendations at 2018 adherence rates. Conclusions and Relevance: This modeling study of 45 cancer screening strategies suggests that women who are noncompliant with cancer screening guidelines may be able to reduce USPSTF-recommended screening intensity with minimal reduction in overall benefits.
Authors: P Appleby; V Beral; A Berrington de González; D Colin; S Franceschi; A Goodill; J Green; J Peto; M Plummer; S Sweetland Journal: Int J Cancer Date: 2006-03-15 Impact factor: 7.396
Authors: Amy B Knudsen; Ann G Zauber; Carolyn M Rutter; Steffie K Naber; V Paul Doria-Rose; Chester Pabiniak; Colden Johanson; Sara E Fischer; Iris Lansdorp-Vogelaar; Karen M Kuntz Journal: JAMA Date: 2016-06-21 Impact factor: 56.272
Authors: Jeanne S Mandelblatt; Aimee M Near; Diana L Miglioretti; Diego Munoz; Brian L Sprague; Amy Trentham-Dietz; Ronald Gangnon; Allison W Kurian; Harald Weedon-Fekjaer; Kathleen A Cronin; Sylvia K Plevritis Journal: Med Decis Making Date: 2018-04 Impact factor: 2.583
Authors: E Giovannucci; G A Colditz; M J Stampfer; D Hunter; B A Rosner; W C Willett; F E Speizer Journal: J Natl Cancer Inst Date: 1994-02-02 Impact factor: 13.506
Authors: Harry J de Koning; Rafael Meza; Sylvia K Plevritis; Kevin ten Haaf; Vidit N Munshi; Jihyoun Jeon; Saadet Ayca Erdogan; Chung Yin Kong; Summer S Han; Joost van Rosmalen; Sung Eun Choi; Paul F Pinsky; Amy Berrington de Gonzalez; Christine D Berg; William C Black; Martin C Tammemägi; William D Hazelton; Eric J Feuer; Pamela M McMahon Journal: Ann Intern Med Date: 2014-03-04 Impact factor: 25.391
Authors: Andrea Gini; Reinier G S Meester; Homa Keshavarz; Kevin C Oeffinger; Sameera Ahmed; David C Hodgson; Iris Lansdorp-Vogelaar Journal: J Natl Cancer Inst Date: 2019-11-01 Impact factor: 13.506