Evidence map›Paper›PMID 33914025›Full record

ArticleJAMA oncology2021

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

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

Abstract read
In one paragraph

Article in JAMA oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Envisioning Minimally Disruptive Opioid Use Disorder Care.Journal of general internal medicine · 2023
    Article
  3. Article
  4. Report from an NCI Roundtable: Cancer Prevention in Primary Care.Cancer prevention research (Philadelphia, Pa.) · 2022
    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

9 authors.

Glen B TakslerCleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.
Elisabeth F P PeterseDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Isarah WillemsDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Kevin Ten HaafDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Erik E L JansenDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Inge M C M de KokDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Nicolien T van RavesteynDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Harry J de KoningDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Iris Lansdorp-VogelaarDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Comparative Modeling: Informing Breast Cancer Control Practice and PolicyU01CA199218 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2015 to 2019
$9.0M
Comparative Modeling of Lung Cancer Prevention and Control PoliciesU01CA199284 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2015 to 2019
$8.4M
Comparative Modeling to Inform Cervical Cancer Control PoliciesU01CA199334 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2015 to 2019
$6.4M
Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future ResearchU01CA199335 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2015 to 2019
$5.5M
Testing the Effectiveness of Individualized Disease Prevention for Middle-Aged AdultsR01AG059979 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI TAKSLER, GLEN · 2019 to 2023
$3.4M
NCATS NIH HHS KL2 TR000440NCI NIH HHS U01 CA199218NCI NIH HHS U01 CA199284NCI NIH HHS U01 CA199334NCI NIH HHS U01 CA199335NIA NIH HHS R01 AG059979
6 · The paper itself

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.

Indexed as

Early Detection of CancerModels, TheoreticalBreast NeoplasmsColorectal NeoplasmsCOVID-19FemaleGuidelines as TopicHumansLung NeoplasmsMammographyPatient ComplianceSARS-CoV-2Uterine Cervical Neoplasms

Identifiers

PMID33914025
PMCPMC8085765

What OpenQuestion holds

Textmetadata
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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.