Evidence map›Paper›PMID 33515225›Full record

ArticleJournal of the National Cancer Institute2021

Trade-Offs Between Harms and Benefits of Different Breast Cancer Screening Intervals Among Low-Risk Women.

Nicolien T van Ravesteyn, Clyde B Schechter, John M Hampton, Oguzhan Alagoz, Jeroen J van den Broek, Karla Kerlikowske, Jeanne S Mandelblatt, Diana L Miglioretti, Brian L Sprague, Natasha K Stout and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  7. Risk-Adapted Breast Screening for Women at Low Predicted Risk of Breast Cancer: An Online Discrete Choice Experiment.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 2 countries.

Nicolien T van RavesteynDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-3531-466X
Clyde B SchechterDepartments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0003-0010-2827
John M HamptonCarbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0003-0037-6211
Oguzhan AlagozCarbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0002-5133-1382
Jeroen J van den BroekDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Karla KerlikowskeDepartment of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Jeanne S MandelblattDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, WA, USA.ORCID 0000-0002-2490-005X
Diana L MigliorettiDepartment of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA.ORCID 0000-0002-5547-1833
Brian L SpragueDepartment of Surgery and University of Vermont Cancer Center, College of Medicine, University of Vermont, Burlington, VT, USA.ORCID 0000-0001-7948-8317
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0002-7946-5649
Harry J de KoningDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-4682-3646
Amy Trentham-DietzCarbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0002-5971-4660
Anna N A TostesonNorris Cotton Cancer Center and the Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.ORCID 0000-0001-7718-8943
Breast Cancer Surveillance Consortium and the Cancer Intervention and Surveillance Modeling Network
Erasmus MC · NLUniversity of Wisconsin–Madison · USAlbert Einstein College of Medicine · USDartmouth Institute for Health Policy and Clinical Practice · USGeorgetown University · USHarvard University · USKaiser Permanente Washington Health Research Institute · USUniversity of California, San Francisco · USUniversity of Vermont · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
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: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA014520NCI NIH HHS P30 CA023108NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA199218NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundA paucity of research addresses breast cancer screening strategies for women at lower-than-average breast cancer risk. The aim of this study was to examine screening harms and benefits among women aged 50-74 years at lower-than-average breast cancer risk by breast density.

methodsThree well-established, validated Cancer Intervention and Surveillance Network models were used to estimate the lifetime benefits and harms of different screening scenarios, varying by screening interval (biennial, triennial). Breast cancer deaths averted, life-years and quality-adjusted life-years gained, false-positives, benign biopsies, and overdiagnosis were assessed by relative risk (RR) level (0.6, 0.7, 0.85, 1 [average risk]) and breast density category, for US women born in 1970.

resultsScreening benefits decreased proportionally with decreasing risk and with lower breast density. False-positives, unnecessary biopsies, and the percentage overdiagnosis also varied substantially by breast density category; false-positives and unnecessary biopsies were highest in the heterogeneously dense category. For women with fatty or scattered fibroglandular breast density and a relative risk of no more than 0.85, the additional deaths averted and life-years gained were small with biennial vs triennial screening. For these groups, undergoing 4 additional screens (screening biennially [13 screens] vs triennially [9 screens]) averted no more than 1 additional breast cancer death and gained no more than 16 life-years and no more than 10 quality-adjusted life-years per 1000 women but resulted in up to 232 more false-positives per 1000 women.

conclusionTriennial screening from age 50 to 74 years may be a reasonable screening strategy for women with lower-than-average breast cancer risk and fatty or scattered fibroglandular breast density.

Indexed as

Breast NeoplasmsAgedEarly Detection of CancerFalse Positive ReactionsFemaleHumansMammographyMass ScreeningMiddle AgedRisk

Identifiers

PMID33515225
PMCPMC8502479
OpenAlexW3121247338

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.