Evidence map›Paper›PMID 34662151›Full record

ArticleAnnals of internal medicine2021

Identifying Equitable Screening Mammography Strategies for Black Women in the United States Using Simulation Modeling.

Christina Hunter Chapman, Clyde B Schechter, Christopher J Cadham, Amy Trentham-Dietz, Ronald E Gangnon, Reshma Jagsi, Jeanne S Mandelblatt

Abstract read
In one paragraph

Article in Annals of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. A Novel Approach for Conducting a Catchment Area Analysis of Breast Cancer by Age and Stage for a Community Cancer Center.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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  20. Data gaps and opportunities for modeling cancer health equity.Journal of the National Cancer Institute. Monographs · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Christina Hunter ChapmanCenter for Clinical Management Research, VA Ann Arbor Healthcare System, and University of Michigan Medical School, Ann Arbor, Michigan (C.H.C.).ORCID 0000-0002-8513-5398
Clyde B SchechterAlbert Einstein College of Medicine, Bronx, New York (C.B.S.).
Christopher J CadhamGeorgetown University Medical Center and Georgetown Lombardi Comprehensive Cancer Center, Washington, DC (C.J.C., J.S.M.).ORCID 0000-0001-9531-2733
Amy Trentham-DietzCarbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin (A.T., R.E.G.).ORCID 0000-0002-5971-4660
Ronald E GangnonCarbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin (A.T., R.E.G.).ORCID 0000-0003-2587-6714
Reshma JagsiCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, Michigan (R.J.).
Jeanne S MandelblattGeorgetown University Medical Center and Georgetown Lombardi Comprehensive Cancer Center, Washington, DC (C.J.C., J.S.M.).ORCID 0000-0002-2490-005X

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
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 of Precision Breast Cancer Control Across the Translational Continuum - SupplementU01CA253911 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ALAGOZ, OGUZHAN, DE KONING, HARRY J · 2020 to 2025
$10.6M
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
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA014520NCI NIH HHS P30 CA046592NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA199218NCI NIH HHS U01 CA253911
6 · The paper itself

Abstract

backgroundScreening mammography guidelines do not explicitly consider racial differences in breast cancer epidemiology, treatment, and survival.

objectiveTo compare tradeoffs of screening strategies in Black women versus White women under current guidelines.

designAn established model from the Cancer Intervention and Surveillance Modeling Network simulated screening outcomes using race-specific inputs for subtype distribution; breast density; mammography performance; age-, stage-, and subtype-specific treatment effects; and non-breast cancer mortality.

settingUnited States.

participantsA 1980 U.S. birth cohort of Black and White women.

interventionScreening strategies until age 74 years with varying initiation ages and intervals. MEASUREMENTS: Outcomes included benefits (life-years gained [LYG], breast cancer deaths averted, and mortality reduction), harms (mammographies, false positives, and overdiagnoses), and benefit-harm ratios (tradeoffs) by race. Efficiency (benefits per unit resource), mortality disparity reduction, and equity in tradeoffs were evaluated. Equitable strategies for Black women were defined as those with tradeoffs closest to benchmark values for screening White women biennially from ages 50 to 74 years.

resultsBiennial screening from ages 45 to 74 years was most efficient for Black women, whereas biennial screening from ages 40 to 74 years was most equitable. Initiating screening 10 years earlier in Black versus White women reduced Black-White mortality disparities by 57% with similar LYG per mammogram for both populations. Selection of the most equitable strategy was sensitive to assumptions about disparities in real-world treatment effectiveness: The less effective treatment was for Black women, the more intensively Black women could be screened before tradeoffs fell short of those experienced by White women. LIMITATION: Single model.

conclusionInitiating biennial screening in Black women at age 40 years reduces breast cancer mortality disparities and yields benefit-harm ratios that are similar to tradeoffs of White women screened biennially from ages 50 to 74 years. PRIMARY FUNDING SOURCE: National Cancer Institute at the National Institutes of Health.

Indexed as

Black or African AmericanMammographyAgedBreast NeoplasmsComputer SimulationFemaleHealth Services AccessibilityHumansMass ScreeningMiddle AgedUnited StatesWhite People

Identifiers

PMID34662151
PMCPMC9997651

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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.