Evidence map›Paper›PMID 15171107›Full record

ArticleJournal of behavioral medicine2004

Gail model risk assessment and risk perceptions.

John M Quillin, Elizabeth Fries, Donna McClish, Ellen Shaw de Paredes, Joann Bodurtha

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of behavioral medicine, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Pooled it
  3. Predictors of perceived susceptibility of breast cancer and changes over time: a mixed modeling approach.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2008
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  10. Conceptual problems in laypersons' understanding of individualized cancer risk: a qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2009
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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

5 authors.

John M QuillinMassey Cancer Center, Virginia Commonwealth University, 401 College Street, Richmond, Virginia 23298-0037, USA. jmquilli@vcu.edu
Elizabeth Fries
Donna McClish
Ellen Shaw de Paredes
Joann Bodurtha

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients can benefit from accessible breast cancer risk information. The Gail model is a well-known means of providing risk information to patients and for guiding clinical decisions. Risk presentation often includes 5-year and life-time percent chances for a woman to develop breast cancer. How do women perceive their risks after Gail model risk assessment? This exploratory study used a randomized clinical trial design to address this question among women not previously selected for breast cancer risk. Results suggest a brief risk assessment intervention changes quantitative and comparative risk perceptions and improves accuracy. This study improves our understanding of risk perceptions by evaluating an intervention in a population not previously selected for high-risk status and measuring perceptions in a variety of formats.

Indexed as

AttitudeAttitude to HealthBreast NeoplasmsRisk AssessmentAdultFemaleFollow-Up StudiesHumans

Identifiers

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.