The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Medication Use for the Risk Reduction of Primary Breast Cancer in Women: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force
Open accessAbstract
Importance: Medications to reduce risk of breast cancer are effective for women at increased risk but also cause adverse effects. Objective: To update the 2013 US Preventive Services Task Force systematic review on medications to reduce risk of primary (first diagnosis) invasive breast cancer in women. Data Sources: Cochrane Central Register of Controlled Trials and Database of Systematic Reviews, EMBASE, and MEDLINE (January 1, 2013, to February 1, 2019); manual review of reference lists. Study Selection: Discriminatory accuracy studies of breast cancer risk assessment methods; randomized clinical trials of tamoxifen, raloxifene, and aromatase inhibitors for primary breast cancer prevention; studies of medication adverse effects. Data Extraction and Synthesis: Investigators abstracted data on methods, participant characteristics, eligibility criteria, outcome ascertainment, and follow-up. Results of individual trials were combined by using a profile likelihood random-effects model. Main Outcomes and Measures: Probability of breast cancer in individuals (area under the receiver operating characteristic curve [AUC]); incidence of breast cancer, fractures, thromboembolic events, coronary heart disease events, stroke, endometrial cancer, and cataracts; and mortality. Results: A total of 46 studies (82 articles [>5 million participants]) were included. Eighteen risk assessment methods in 25 studies reported low accuracy in predicting the probability of breast cancer in individuals (AUC, 0.55-0.65). In placebo-controlled trials, tamoxifen (risk ratio [RR], 0.69 [95% CI, 0.59-0.84]; 4 trials [n = 28 421]), raloxifene (RR, 0.44 [95% CI, 0.24-0.80]; 2 trials [n = 17 806]), and the aromatase inhibitors exemestane and anastrozole (RR, 0.45 [95% CI, 0.26-0.70]; 2 trials [n = 8424]) were associated with a lower incidence of invasive breast cancer. Risk for invasive breast cancer was higher for raloxifene than tamoxifen in 1 trial after long-term follow-up (RR, 1.24 [95% CI, 1.05-1.47]; n = 19 747). Raloxifene was associated with lower risk for vertebral fractures (RR, 0.61 [95% CI, 0.53-0.73]; 2 trials [n = 16 929]) and tamoxifen was associated with lower risk for nonvertebral fractures (RR, 0.66 [95% CI, 0.45-0.98]; 1 trial [n = 13 388]) compared with placebo. Tamoxifen and raloxifene were associated with increased thromboembolic events compared with placebo; tamoxifen was associated with more events than raloxifene. Tamoxifen was associated with higher risk of endometrial cancer and cataracts compared with placebo. Symptomatic effects (eg, vasomotor, musculoskeletal) varied by medication. Conclusions and Relevance: Tamoxifen, raloxifene, and aromatase inhibitors were associated with lower risk of primary invasive breast cancer in women but also were associated with adverse effects that differed between medications. Risk stratification methods to identify patients with increased breast cancer risk demonstrated low accuracy.
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Both AI trials demonstrated a reduction in risk of ER-positive invasive breast cancer, but no significant effect on ER-negative disease.
“Notably, both trials demonstrated a reduction in the risk of estrogen receptor (ER)-positive invasive breast cancer, but no significant effect on ER-negative disease.”
From Screening, Risk Reduction Strategies, and Clinical Management of Unaffected Carriers of BRCA1 or BRCA2 Pathogenic Variants (2026) · cites this paper as [70]
In the USPSTF updated meta-analysis, the pooled risk ratio for invasive breast cancer risk reduction with AIs was 0.45 (95% CI 0.26-0.70).
“Both studies were incorporated into the USPSTF’s updated meta-analysis on invasive breast cancer risk reduction, yielding a pooled risk ratio of 0.45 (95% CI: 0.26 - 0.70) [70].”
From Screening, Risk Reduction Strategies, and Clinical Management of Unaffected Carriers of BRCA1 or BRCA2 Pathogenic Variants (2026) · cites this paper as [70]
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Exemestane for Breast-Cancer Prevention in Postmenopausal Women
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Tin Tin, S., Reeves, G. K., & Key, T. J. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01392-z · Cited by 71
Abdel-Razeq, H., & Mansour, R. (2026) · World Journal of Oncology · doi:10.14740/wjon2692
Metadata
- Authors
- Nelson, H. D., Fu, R., Zakher, B., Pappas, M., & McDonagh, M.
- Affiliations
- Oregon Health & Science University (US)
- Corresponding author
- Nelson, Heidi D.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2019-09-03
- Volume
- 322
- Issue
- 9
- Pages
- 868
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2972132614
- Cited by
- 137
- References
- 2
- Citations by year
- 2026: 18 · 2025: 15 · 2024: 18 · 2023: 20 · 2022: 18 · 2021: 20 · 2020: 19 · 2019: 9
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality
- Topics
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Estrogen and related hormone effects
- Keywords
- breast cancer prevention, primary breast cancer, tamoxifen, raloxifene, aromatase inhibitors, anastrozole, exemestane, breast cancer risk prediction, adverse effects, thromboembolic events, fracture, coronary artery disease, endometrial cancer, cataract, mortality, high-risk women, USPSTF recommendations
- MeSH terms
- Adult, Breast Neoplasms, Female, Humans, Mutation, Risk Factors, Tamoxifen, Practice Guidelines as Topic, Risk Assessment, Genes, BRCA1, Area Under Curve, Selective Estrogen Receptor Modulators, Raloxifene Hydrochloride, Genes, BRCA2, Aromatase Inhibitors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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