Evidence map›Paper›PMID 36455167›Full record

SynthesisJournal of clinical oncology : official journal of the American Society of Clinical Oncology2023

Reassessing the Benefits and Harms of Risk-Reducing Medication Considering the Persistent Risk of Breast Cancer Mortality in Estrogen Receptor-Positive Breast Cancer.

Jinani Jayasekera, Amy Zhao, Clyde Schechter, Kathryn Lowry, Jennifer M Yeh, Marc D Schwartz, Suzanne O'Neill, Karen J Wernli, Natasha Stout, Jeanne Mandelblatt and 2 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  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
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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

12 authors at 8 institutions in 1 country.

Jinani JayasekeraPopulation and Community Health Sciences Branch, Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD.ORCID 0000-0001-9212-7225
Amy ZhaoDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC.
Clyde SchechterDepartments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0003-0010-2827
Kathryn LowryDepartment of Radiology, University of Washington, Seattle Cancer Care Alliance, Seattle, WA.ORCID 0000-0002-0840-7855
Jennifer M YehDepartment of Pediatrics, Harvard Medical School, Boston Children's Hospital, Boston, MA.ORCID 0000-0002-2724-7404
Marc D SchwartzDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC.ORCID 0000-0002-2735-5413
Suzanne O'NeillDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC.ORCID 0000-0001-9942-6041
Karen J WernliKaiser Permanente Washington Health Research Institute, Seattle, WA.ORCID 0000-0001-7945-0327
Natasha StoutDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Healthcare Institute, Boston, MA.ORCID 0000-0002-7946-5649
Jeanne MandelblattDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC.ORCID 0000-0002-2490-005X
Allison W KurianDepartments of Medicine and of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-6175-9470
Claudine IsaacsDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC.ORCID 0000-0002-9646-1260
Georgetown University · USAlbert Einstein College of Medicine · USBoston Children's Hospital · USHarvard University · USKaiser Permanente Washington Health Research Institute · USNational Institutes of Health · USSeattle Cancer Care Alliance · USStanford University · US

Funding

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
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
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Comparative effectiveness of breast imaging modalities: a natural experimentR01HS018366 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RAUSCHER, GARTH H · 2010 to 2014
$1.8M
Health Equity and Decision SciencesZIAMD000022 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI JAYASEKERA, JINANI · 2023 to 2025
$962k
A Simulation Model-based Framework to Support Oncology Guidelines and PracticeK99CA241397 · NCI · GEORGETOWN UNIVERSITY · PI JAYASEKERA, JINANI · 2020 to 2021
$351k
A Simulation Modeling Study to Support Personalized Breast Cancer Prevention and Early Detection in High-Risk WomenR03CA259896 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2021 to 2022
$156k
AHRQ HHS R01 HS018366NCI NIH HHS K99 CA241397NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA051008NCI NIH HHS R03 CA259896NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA199218NCI NIH HHS U01 CA253911NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

purposeRecent studies, including a meta-analysis of 88 trials, have shown higher than expected rates of recurrence and death in hormone receptor-positive breast cancer. These new findings suggest a need to re-evaluate the use of risk-reducing medication to avoid invasive breast cancer and breast cancer death in high-risk women.

methodsWe adapted an established Cancer Intervention and Surveillance Modeling Network model to evaluate the lifetime benefits and harms of risk-reducing medication in women with a ≥ 3% 5-year risk of developing breast cancer according to the Breast Cancer Surveillance Consortium risk calculator. Model input parameters were derived from meta-analyses, clinical trials, and large observational data. We evaluated the effects of 5 years of risk-reducing medication (tamoxifen/aromatase inhibitors) with annual screening mammography ± magnetic resonance imaging (MRI) compared with no screening, MRI, or risk-reducing medication. The modeled outcomes included invasive breast cancer, breast cancer death, side effects, false positives, and overdiagnosis. We conducted subgroup analyses for individual risk factors such as age, family history, and prior biopsy.

resultsRisk-reducing tamoxifen with annual screening (± MRI) decreased the risk of invasive breast cancer by 40% and breast cancer death by 57%, compared with no tamoxifen or screening. This is equivalent to an absolute reduction of 95 invasive breast cancers, and 42 breast cancer deaths per 1,000 high-risk women. However, these drugs are associated with side effects. For example, tamoxifen could increase the number of endometrial cancers up to 11 per 1,000 high-risk women. Benefits and harms varied by individual characteristics.

conclusionThe addition of risk-reducing medication to screening could further decrease the risk of breast cancer death. Clinical guidelines for high-risk women should consider integrating shared decision making for risk-reducing medication and screening on the basis of individual risk factors.

Indexed as

Breast NeoplasmsBreastEarly Detection of CancerFemaleHumansMammographyReceptors, EstrogenTamoxifenReceptors, EstrogenTamoxifen

Identifiers

PMID36455167
PMCPMC9901948
OpenAlexW4310506833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.