Evidence map›Paper›PMID 14700240›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique

Women's perceptions of breast cancer risk: are they accurate?

Jane A Buxton, Joan L Bottorff, Lynda G Balneaves, Chris Richardson, Mary McCullum, Pamela A Ratner, Tom Hack

Open access · bronzeAbstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

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  14. Predictors of Breast Cancer Worry in a Hispanic and Predominantly Immigrant Mammography Screening Population.Women's health issues : official publication of the Jacobs Institute of Women's Health
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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

7 authors at 3 institutions in 1 country.

Jane A BuxtonDepartment of Health Care and Epidemiology, University of British Columbia, Mather Building, 5804 Fairview Ave., Vancouver, BC V6T 1Z3. jbuxton@interchange.ubc.ca
Joan L Bottorff
Lynda G Balneaves
Chris Richardson
Mary McCullum
Pamela A Ratner
Tom Hack
University of British Columbia · CABC Cancer Agency · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective was to compare women's personal estimates of their risk with objective breast cancer risk estimates and to describe the risk factors for breast cancer identified by women.

methodsTelephone survey of a random sample of 761 rural and urban women with no history of breast cancer. Survey instrument included measures of perceptions of lifetime risk for breast cancer for themselves and for the average woman, perceptions of risk factors that influenced their risk and the average woman's risk for breast cancer. Objective estimates of breast cancer risk were calculated using the Gail et al. algorithm. Descriptive statistics and multiple linear regression were used to analyze the data.

resultsWomen's estimates of their own lifetime risk for breast cancer were significantly higher than their Gail model risk estimates (mean difference = 19%, p < 0.001). The women's personal breast cancer risk estimates were lower than estimates of risk for a hypothetical average woman (mean difference = -8%, p < 0.001). Fifty percent of the sample reported a perceived risk estimate at least 15% above their Gail risk estimate. The risk factors for breast cancer most frequently identified included family history, nutrition/diet, smoking, lifestyle, environment, stress and age. Although the risk factors used to calculate the Gail model risk estimates were reported by some study participants, these women consistently identified only family history as their personal risk factor.

conclusionWomen have difficulty accurately estimating their breast cancer risk and identifying known risk factors for breast cancer. Individual risk information may be more useful in enhancing accurate risk perceptions than the "1 in 9" message.

Indexed as

Attitude to HealthAdultAgedBreast NeoplasmsBritish ColumbiaData CollectionFemaleHumansMiddle AgedRisk FactorsRural PopulationUrban Population

Identifiers

PMID14700240
PMCPMC6980131
OpenAlexW1585481496

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.