Evidence map›Paper›PMID 24372085›Full record

ArticleJournal of women's health (2002)2014

Perceived versus objective breast cancer risk in diverse women.

Julia Fehniger, Jennifer Livaudais-Toman, Leah Karliner, Karla Kerlikowske, Jeffrey A Tice, Jessica Quinn, Elissa Ozanne, Celia P Kaplan

Abstract read
In one paragraph

Article in Journal of women's health (2002), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Interventions for improving health literacy in migrants.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. Genetic counseling and testing for Asian Americans: a systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
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  15. Women with Family History of Breast Cancer: How Much Are They Aware of Their Risk?Journal of cancer education : the official journal of the American Association for Cancer Education · 2018
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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

8 authors.

Julia Fehniger1 Department of Medicine, Division of General Internal Medicine, University of California , San Francisco, California.
Jennifer Livaudais-Toman
Leah Karliner
Karla Kerlikowske
Jeffrey A Tice
Jessica Quinn
Elissa Ozanne
Celia P Kaplan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior research suggests that women do not accurately estimate their risk for breast cancer. Estimating and informing women of their risk is essential for tailoring appropriate screening and risk reduction strategies.

methodsData were collected for BreastCARE, a randomized controlled trial designed to evaluate a PC-tablet based intervention providing multiethnic women and their primary care physicians with tailored information about breast cancer risk. We included women ages 40-74 visiting general internal medicine primary care clinics at one academic practice and one safety net practice who spoke English, Spanish, or Cantonese, and had no personal history of breast cancer. We collected baseline information regarding risk perception and concern. Women were categorized as high risk (vs. average risk) if their family history met criteria for referral to genetic counseling or if they were in the top 5% of risk for their age based on the Gail or Breast Cancer Surveillance Consortium Model (BCSC) breast cancer risk model.

resultsOf 1,261 participants, 25% (N=314) were classified as high risk. More average risk than high risk women had correct risk perception (72% vs. 18%); 25% of both average and high risk women reported being very concerned about breast cancer. Average risk women with correct risk perception were less likely to be concerned about breast cancer (odds ratio [OR]=0.3; 95% confidence interval [CI]=0.2-0.4) while high risk women with correct risk perception were more likely to be concerned about breast cancer (OR=5.1; 95%CI=2.7-9.6).

conclusionsMany women did not accurately perceive their risk for breast cancer. Women with accurate risk perception had an appropriate level of concern about breast cancer. Improved methods of assessing and informing women of their breast cancer risk could motivate high risk women to apply appropriate prevention strategies and allay unnecessary concern among average risk women.

Indexed as

Health Knowledge, Attitudes, PracticeMass ScreeningRisk AssessmentAdultAgedBreast NeoplasmsEthnicityFemaleHealth SurveysHumansMammographyMiddle AgedMultivariate AnalysisPerceptionRisk FactorsSocioeconomic Factors

Identifiers

PMID24372085
PMCPMC4011422

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.