Evidence map›Paper›PMID 38010458›Full record

ArticleJournal of general internal medicine2024

Benefits and Harms of Mammography Screening in 75 + Women to Inform Shared Decision-making: a Simulation Modeling Study.

Jinani Jayasekera, Sarah Stein, Oliver W A Wilson, Kaitlyn M Wojcik, Dalya Kamil, Eeva-Liisa Røssell, Linn A Abraham, Ellen S O'Meara, Nancy Li Schoenborn, Clyde B Schechter and 3 more

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Breast cancer survivors' perspectives on a clinical decision tool to support individualized exercise prescriptions and discussions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. 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

13 authors.

Jinani JayasekeraHealth Equity and Decision Sciences Research Laboratory, National Institute on Minority Health and Health Disparities (NIMHD) Intramural Research Program (IRP), National Institutes of Health, Bethesda, MD, 20892, USA. jinani.jayasekera@nih.gov.ORCID 0000-0001-9212-7225
Sarah SteinDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Oliver W A WilsonHealth Equity and Decision Sciences Research Laboratory, National Institute on Minority Health and Health Disparities (NIMHD) Intramural Research Program (IRP), National Institutes of Health, Bethesda, MD, 20892, USA.
Kaitlyn M WojcikHealth Equity and Decision Sciences Research Laboratory, National Institute on Minority Health and Health Disparities (NIMHD) Intramural Research Program (IRP), National Institutes of Health, Bethesda, MD, 20892, USA.
Dalya KamilHealth Equity and Decision Sciences Research Laboratory, National Institute on Minority Health and Health Disparities (NIMHD) Intramural Research Program (IRP), National Institutes of Health, Bethesda, MD, 20892, USA.
Eeva-Liisa RøssellDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Linn A AbrahamKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Ellen S O'MearaKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Nancy Li SchoenbornDivision of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Clyde B SchechterDepartments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Jeanne S MandelblattGeorgetown Lombardi Institute for Cancer and Aging Research and the Cancer Prevention and Control Program at the Georgetown Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Washington, DC, USA.
Mara A Schonberg *Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Natasha K Stout *Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 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
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
A Conversation Aid on Mammography Screening to Support Shared Decision Making between Clinicians and Women Aged 75 and OlderR01AG065311 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SCHONBERG, MARA A · 2020 to 2024
$3.2M
Breast Cancer Risk Factors Among Women Aged 75 and OlderR01AG041869 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SCHONBERG, MARA A · 2013 to 2015
$1.4M
Health Equity and Decision SciencesZIAMD000022 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI JAYASEKERA, JINANI · 2023 to 2025
$962k
Research and mentoring program in shared decision making in the care of older adultsK24AG071906 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SCHONBERG, MARA A · 2021 to 2025
$946k
Intramural NIH HHS ZIA MD000022NCI NIH HHS 5P30CA051008NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS P30 CA016058NCI NIH HHS P30 CA051008NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA253911NCI NIH HHS U01CA253911NCI NIH HHS U54 CA163303NCI NIH HHS U54CA163303NIA NIH HHS K24 AG071906NIA NIH HHS K24AG071906NIA NIH HHS R01 AG041869NIA NIH HHS R01 AG065311NIA NIH HHS R01AG065311NIMHD NIH HHS ZIA MD000022-01
6 · The paper itself

Abstract

backgroundGuidelines recommend shared decision-making (SDM) around mammography screening for women ≥ 75 years old.

objectiveTo use microsimulation modeling to estimate the lifetime benefits and harms of screening women aged 75, 80, and 85 years based on their individual risk factors (family history, breast density, prior biopsy) and comorbidity level to support SDM in clinical practice. DESIGN, SETTING, AND

participantsWe adapted two established Cancer Intervention and Surveillance Modeling Network (CISNET) models to evaluate the remaining lifetime benefits and harms of screening U.S. women born in 1940, at decision ages 75, 80, and 85 years considering their individual risk factors and comorbidity levels. Results were summarized for average- and higher-risk women (defined as having breast cancer family history, heterogeneously dense breasts, and no prior biopsy, 5% of the population). MAIN OUTCOMES AND MEASURES: Remaining lifetime breast cancers detected, deaths (breast cancer/other causes), false positives, and overdiagnoses for average- and higher-risk women by age and comorbidity level for screening (one or five screens) vs. no screening per 1000 women.

resultsCompared to stopping, one additional screen at 75 years old resulted in six and eight more breast cancers detected (10% overdiagnoses), one and two fewer breast cancer deaths, and 52 and 59 false positives per 1000 average- and higher-risk women without comorbidities, respectively. Five additional screens over 10 years led to 23 and 31 additional breast cancer cases (29-31% overdiagnoses), four and 15 breast cancer deaths avoided, and 238 and 268 false positives per 1000 average- and higher-risk screened women without comorbidities, respectively. Screening women at older ages (80 and 85 years old) and high comorbidity levels led to fewer breast cancer deaths and a higher percentage of overdiagnoses.

conclusionsSimulation models show that continuing screening in women ≥ 75 years old results in fewer breast cancer deaths but more false positive tests and overdiagnoses. Together, clinicians and 75 + women may use model output to weigh the benefits and harms of continued screening.

Indexed as

Breast NeoplasmsMammographyAgedAged, 80 and overBreastBreast DensityComputer SimulationEarly Detection of CancerFemaleHumansMass Screening

Identifiers

PMID38010458
PMCPMC10897118

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.