Literature DB >> 30140882

Screening for Cervical Cancer in Primary Care: A Decision Analysis for the US Preventive Services Task Force.

Jane J Kim1, Emily A Burger1,2, Catherine Regan1, Stephen Sy1.   

Abstract

Importance: Evidence on the relative benefits and harms of primary high-risk human papillomavirus (hrHPV) testing is needed to inform guidelines. Objective: To inform the US Preventive Services Task Force by modeling the benefits and harms of various cervical cancer screening strategies. Design, Setting, and Participants: Microsimulation model of a hypothetical cohort of women initiating screening at age 21 years. Exposures: Screening with cytology, hrHPV testing, and cytology and hrHPV cotesting, varying age to switch from cytology to hrHPV testing or cotesting (25, 27, 30 years), rescreening interval (3, 5 years), and triage options for hrHPV-positive results (16/18 genotype, cytology testing). Current guidelines-based screening strategies comprised cytology alone every 3 years starting at age 21 years, with or without a switch to cytology and hrHPV cotesting every 5 years from ages 30 to 65 years. Complete adherence for all 19 strategies was assumed. Main Outcomes and Measures: Lifetime number of tests, colposcopies, disease detection, false-positive results, cancer cases and deaths, life-years, and efficiency ratios expressing the trade-off of harms (ie, colposcopies, tests) vs benefits (life-years gained, cancer cases averted). Efficient strategies were those that yielded more benefit and less harm than another strategy or a lower harm to benefit ratio than a strategy with less harms.
Results: Compared with no screening, all modeled cervical cancer screening strategies were estimated to result in substantial reductions in cancer cases and deaths and gains in life-years. The effectiveness of screening across the different strategies was estimated to be similar, with primary hrHPV-based and alternative cotesting strategies having slightly higher effectiveness and greater harms than current guidelines-based cytology testing. For example, cervical cancer deaths associated with the guidelines-based strategies ranged from 0.30 to 0.76 deaths per 1000 women, whereas new strategies involving primary hrHPV testing or cotesting were associated with fewer cervical cancer deaths, ranging from 0.23 to 0.29 deaths per 1000 women. In all analyses, primary hrHPV testing strategies occurring at 5-year intervals were efficient. For example, 5-year primary hrHPV testing (cytology triage) based on switching from cytology to hrHPV screening at ages 30 years, 27 years, and 25 years had ratios per life-year gained of 73, 143, and 195 colposcopies, respectively. In contrast, strategies involving 3-year hrHPV testing had much higher ratios, ranging from 2188 to 3822 colposcopies per life-year gained. In most analyses, strategies involving cotesting were not efficient. Conclusions and Relevance: In this microsimulation modeling study, it was estimated that primary hrHPV screening may represent a reasonable balance of harms and benefits when performed every 5 years. Switching from cytology to hrHPV testing at age 30 years yielded the most efficient harm to benefit ratio when using colposcopy as a proxy for harms.

Entities:  

Mesh:

Year:  2018        PMID: 30140882     DOI: 10.1001/jama.2017.19872

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  31 in total

1.  Estimated Quality of Life and Economic Outcomes Associated With 12 Cervical Cancer Screening Strategies: A Cost-effectiveness Analysis.

Authors:  George F Sawaya; Erinn Sanstead; Fernando Alarid-Escudero; Karen Smith-McCune; Steven E Gregorich; Michael J Silverberg; Wendy Leyden; Megan J Huchko; Miriam Kuppermann; Shalini Kulasingam
Journal:  JAMA Intern Med       Date:  2019-07-01       Impact factor: 21.873

2.  Blood-based biomarkers of human papillomavirus-associated cancers: A systematic review and meta-analysis.

Authors:  Sanjana Balachandra; Samuel B Kusin; Rebecca Lee; James-Michael Blackwell; Jasmin A Tiro; Lindsay G Cowell; Cheng-Ming Chiang; Shwu-Yuan Wu; Sanskriti Varma; Erika L Rivera; Helen G Mayo; Lianghao Ding; Baran D Sumer; Jayanthi S Lea; Aditya Bagrodia; Linda M Farkas; Richard Wang; Carole Fakhry; Kristina R Dahlstrom; Erich M Sturgis; Andrew T Day
Journal:  Cancer       Date:  2020-12-03       Impact factor: 6.860

3.  Rationale and design of a double-blind randomized non-inferiority clinical trial to evaluate one or two doses of vaccine against human papillomavirus including an epidemiologic survey to estimate vaccine efficacy: The Costa Rica ESCUDDO trial.

Authors:  Carolina Porras; Joshua N Sampson; Rolando Herrero; Mitchell H Gail; Bernal Cortés; Allan Hildesheim; Jean Cyr; Byron Romero; John T Schiller; Christian Montero; Ligia A Pinto; John Schussler; Karla Coronado; Mónica S Sierra; Jane J Kim; Catherine M Torres; Loretto Carvajal; Sarah Wagner; Nicole G Campos; Rebecca Ocampo; Troy J Kemp; Michael Zuniga; Douglas R Lowy; Carlos Avila; Stephen Chanock; Ariane Castrillo; Yenory Estrada; Gloriana Barrientos; Cindy Monge; María Y Oconitrillo; Aimée R Kreimer
Journal:  Vaccine       Date:  2021-11-29       Impact factor: 3.641

4.  Cervical Cancer Screening-Moving From the Value of Evidence to the Evidence of Value.

Authors:  George F Sawaya
Journal:  JAMA Intern Med       Date:  2018-10-01       Impact factor: 21.873

5.  Estimating the Natural History of Cervical Carcinogenesis Using Simulation Models: A CISNET Comparative Analysis.

Authors:  Emily A Burger; Inge M C M de Kok; Emily Groene; James Killen; Karen Canfell; Shalini Kulasingam; Karen M Kuntz; Suzette Matthijsse; Catherine Regan; Kate T Simms; Megan A Smith; Stephen Sy; Fernando Alarid-Escudero; Vivek Vaidyanathan; Marjolein van Ballegooijen; Jane J Kim
Journal:  J Natl Cancer Inst       Date:  2020-09-01       Impact factor: 13.506

6.  Survival model methods for analyses of cancer incidence trends in young adults.

Authors:  Wan Yang; Rebecca D Kehm; Mary Beth Terry
Journal:  Stat Med       Date:  2020-02-05       Impact factor: 2.373

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

Authors:  Glen B Taksler; Elisabeth F P Peterse; Isarah Willems; Kevin Ten Haaf; Erik E L Jansen; Inge M C M de Kok; Nicolien T van Ravesteyn; Harry J de Koning; Iris Lansdorp-Vogelaar
Journal:  JAMA Oncol       Date:  2021-06-01       Impact factor: 31.777

8.  Historical and projected hysterectomy rates in the USA: Implications for future observed cervical cancer rates and evaluating prevention interventions.

Authors:  Kate T Simms; Susan Yuill; James Killen; Megan A Smith; Shalini Kulasingam; Inge M C M de Kok; Marjolein van Ballegooijen; Emily A Burger; Catherine Regan; Jane J Kim; Karen Canfell
Journal:  Gynecol Oncol       Date:  2020-07-26       Impact factor: 5.482

9.  Projected time to elimination of cervical cancer in the USA: a comparative modelling study.

Authors:  Emily A Burger; Megan A Smith; James Killen; Stephen Sy; Kate T Simms; Karen Canfell; Jane J Kim
Journal:  Lancet Public Health       Date:  2020-02-10

10.  A proposed new generation of evidence-based microsimulation models to inform global control of cervical cancer.

Authors:  Nicole G Campos; Maria Demarco; Laia Bruni; Kanan T Desai; Julia C Gage; Sally N Adebamowo; Silvia de Sanjose; Jane J Kim; Mark Schiffman
Journal:  Prev Med       Date:  2021-03-04       Impact factor: 4.018

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