Literature DB >> 33914025

Modeling Strategies to Optimize Cancer Screening in USPSTF Guideline-Noncompliant Women.

Glen B Taksler1,2,3, Elisabeth F P Peterse4, Isarah Willems4, Kevin Ten Haaf4, Erik E L Jansen4, Inge M C M de Kok4, Nicolien T van Ravesteyn4, Harry J de Koning4, Iris Lansdorp-Vogelaar4.   

Abstract

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.

Entities:  

Mesh:

Year:  2021        PMID: 33914025      PMCID: PMC8085765          DOI: 10.1001/jamaoncol.2021.0952

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  61 in total

1.  Carcinoma of the cervix and tobacco smoking: collaborative reanalysis of individual data on 13,541 women with carcinoma of the cervix and 23,017 women without carcinoma of the cervix from 23 epidemiological studies.

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

2.  US Preventive Services Task Force issues new draft recommendation statement regarding lung cancer screening.

Authors:  Carrie Printz
Journal:  Cancer       Date:  2020-10-01       Impact factor: 6.860

3.  Concurrent participation in screening for cervical, breast, and bowel cancer in England.

Authors:  Matejka Rebolj; Dharmishta Parmar; Roberta Maroni; Oleg Blyuss; Stephen W Duffy
Journal:  J Med Screen       Date:  2019-09-16       Impact factor: 2.136

4.  Patients' expectations of screening and preventive treatments.

Authors:  Ben Hudson; Abby Zarifeh; Lorraine Young; J Elisabeth Wells
Journal:  Ann Fam Med       Date:  2012 Nov-Dec       Impact factor: 5.166

5.  Estimation of Benefits, Burden, and Harms of Colorectal Cancer Screening Strategies: Modeling Study for the US Preventive Services Task Force.

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

6.  Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.

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

7.  Chapter 4: Development of the counterfactual smoking histories used to assess the effects of tobacco control.

Authors:  Theodore R Holford; Lauren Clark
Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

8.  A prospective study of cigarette smoking and risk of colorectal adenoma and colorectal cancer in U.S. women.

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

9.  Benefits and harms of computed tomography lung cancer screening strategies: a comparative modeling study for the U.S. Preventive Services Task Force.

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

10.  Cost-Effectiveness of Colonoscopy-Based Colorectal Cancer Screening in Childhood Cancer Survivors.

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

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