Evidence map›Paper›PMID 35209930›Full record

ArticleHereditary cancer in clinical practice2022

Women's perceptions of PERSPECTIVE: a breast cancer risk stratification e-platform.

Saima Ahmed, Emmanuelle Lévesque, Rosalind Garland, Bartha Knoppers, Michel Dorval, Jacques Simard, Carmen G Loiselle

Abstract read
In one paragraph

Article in Hereditary cancer in clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Current oncology (Toronto, Ont.) · 2022
    Article
  4. Article
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.

Saima AhmedDivision of Experimental Medicine, McGill University, Montréal, QC, Canada.
Emmanuelle LévesqueMcGill University Centre of Genomics and Policy, Montréal, QC, Canada.
Rosalind GarlandMedical Surgical Intensive Care Unit, Jewish General Hospital, Montreal, QC, Canada.
Bartha KnoppersMcGill University Centre of Genomics and Policy, Montréal, QC, Canada.
Michel DorvalUniversité Laval, Québec City, QC, Canada.
Jacques SimardUniversité Laval, Québec City, QC, Canada.
Carmen G LoiselleCIUSSS Centre-Ouest Montréal, Segal Cancer Centre, Jewish General Hospital, Montreal, QC, Canada. carmen.g.loiselle@mcgill.ca.ORCID http://orcid.org/0000-0002-1981-2645

Funding

CIHR GPH #129344Genome Canada GPH #129344
6 · The paper itself

Abstract

backgroundBreast cancer risk stratification categorizes a woman's potential risk of developing the disease as near-population, intermediate, or high. In accordance, screening and follow up for breast cancer can readily be tailored following risk assessment. Recent efforts have focussed on developing more accessible means to convey this information to women. This study sought to document the relevance of an informational e-platform developed for these purposes.

objectiveTo begin to assess a newly developed breast cancer risk stratification and decision support e-platform called PERSPECTIVE (PErsonalised Risk Stratification for Prevention and Early deteCTIon of breast cancer) among women who do not know their personal breast cancer risk (Phase 1). Changes (pre- and post- e-platform exposure) in knowledge of breast cancer risk and interest in undergoing genetic testing were assessed in addition to perceptions of platform usability and acceptability.

methodsUsing a pre-post design, women (N = 156) of differing literacy and education levels, aged 30 to 60, with no previous breast cancer diagnosis were recruited from the general population and completed self-report e-questionnaires.

resultsMean e-platform viewing time was 18.67 min (SD 0.65) with the most frequently visited pages being breast cancer-related risk factors and risk assessment. Post-exposure, participants reported  significantly higher breast cancer-related knowledge (p < .001). Increases in knowledge relating to obesity, alcohol, breast density, menstruation, and the risk estimation process remained even when sociodemographic variables age and education were controlled. There were no significant changes in genetic testing interest post-exposure. Mean ratings for e-platform acceptability and usability were high: 26.19 out of 30 (SD 0.157) and 42.85 out of 50 (SD 0.267), respectively.

conclusionsAn informative breast cancer risk stratification e-platform targeting healthy women in the general population can significantly increase knowledge as well as support decisions around breast cancer risk and assessment. Currently underway, Phase 2, called PERSPECTIVE, is seeking further content integration and broader implementation .

Indexed as

Breast cancercancer prevention and screeningcancer risk stratificatione-health

Identifiers

PMID35209930
PMCPMC8867776

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.