Evidence map›Paper›PMID 29435563›Full record

ArticleJAMA internal medicine2018

Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort.

Dejana Braithwaite, Diana L Miglioretti, Weiwei Zhu, Joshua Demb, Amy Trentham-Dietz, Brian Sprague, Jeffrey A Tice, Tracy Onega, Louise M Henderson, Diana S M Buist and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. The plasma proteome and breast cancer risk.Breast cancer research : BCR · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024
    Article
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  10. Review
  11. Article
  12. Article
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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

14 authors at 9 institutions in 1 country.

Dejana BraithwaiteDepartment of Oncology, Georgetown University Medical Center, Washington, DC.
Diana L MigliorettiDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Davis, California.
Weiwei ZhuKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Joshua DembDepartment of Oncology, Georgetown University Medical Center, Washington, DC.
Amy Trentham-DietzDepartment of Population Health Sciences, Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Brian SpragueDepartment of Surgery, University of Vermont College of Medicine, Burlington.
Jeffrey A TiceDepartment of Medicine, University of California, San Francisco.
Tracy OnegaDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Louise M HendersonDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill.
Diana S M BuistKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Elad ZivDepartment of Medicine, University of California, San Francisco.
Louise C WalterDepartment of Medicine, University of California, San Francisco.
Karla KerlikowskeDepartment of Medicine, University of California, San Francisco.
Breast Cancer Surveillance Consortium
University of California, San Francisco · USKaiser Permanente Washington Health Research Institute · USDartmouth College · USGeorgetown University · USGeorgetown University Medical Center · USUniversity of California, Davis · USUniversity of North Carolina at Chapel Hill · USUniversity of Vermont · USUniversity of Wisconsin Carbone Cancer Center · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
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
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
COMORBIDITY AND SCREENING OUTCOMES AMONG OLDER WOMEN UNDERGOING MAMMOGRAPHYR01CA207361 · NCI · UNIVERSITY OF FLORIDA · PI BRAITHWAITE, DEJANA K · 2017 to 2020
$2.3M
NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA016086NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA207361NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

Importance: First-degree family history is a strong risk factor for breast cancer, but controversy exists about the magnitude of the association among older women. Objective: To determine whether first-degree family history is associated with increased risk of breast cancer among older women, and identify whether the association varies by breast density. Design, Setting, and Participants: Prospective cohort study between 1996 and 2012 from 7 Breast Cancer Surveillance Consortium (BCSC) registries located in New Hampshire, North Carolina, San Francisco Bay area, western Washington state, New Mexico, Colorado, and Vermont. During a mean (SD) follow-up of 6.3 (3.2) years, 10 929 invasive breast cancers were diagnosed in a cohort of 403 268 women 65 years and older with data from 472 220 mammography examinations. We estimated the 5-year cumulative incidence of invasive breast cancer by first-degree family history, breast density, and age groups. Cox proportional hazards models were fit to estimate the association of first-degree family history with risk of invasive breast cancer (after adjustment for breast density, BCSC registry, race/ethnicity, body mass index, postmenopausal hormone therapy use, and benign breast disease for age groups 65 to 74 years and 75 years and older, separately). Data analyses were performed between June 2016 and June 2017. Exposure: First-degree family history of breast cancer. Main Outcomes and Measures: Incident breast cancer. Results: In 403 268 women 65 years and older, first-degree family history was associated with an increased risk of breast cancer among women ages 65 to 74 years (hazard ratio [HR], 1.48; 95% CI, 1.35-1.61) and 75 years and older (HR, 1.44; 95% CI, 1.28-1.62). Estimates were similar for women 65 to 74 years with first-degree relative's diagnosis age younger than 50 years (HR, 1.47; 95% CI, 1.25-1.73) vs 50 years and older (HR, 1.33; 95% CI, 1.17-1.51) and for women ages 75 years and older with the relative's diagnosis age younger than 50 years (HR, 1.31; 95% CI, 1.05-1.63) vs 50 years and older (HR, 1.55; 95% CI, 1.33-1.81). Among women ages 65 to 74 years, the risk associated with first-degree family history was highest among those with fatty breasts (HR, 1.67; 95% CI, 1.27-2.21), whereas in women 75 years and older the risk associated with family history was highest among those with dense breasts (HR, 1.55; 95% CI, 1.29-1.87). Conclusions and Relevance: First-degree family history was associated with increased risk of invasive breast cancer in all subgroups of older women irrespective of a relative's age at diagnosis.

Indexed as

Breast DensityRegistriesAgedAge FactorsBreast NeoplasmsCarcinomaCohort StudiesFemaleHumansIncidenceMedical History TakingProportional Hazards ModelsProspective StudiesRisk Factors

Identifiers

PMID29435563
PMCPMC5876845
OpenAlexW2788773850

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.