Evidence map›Paper›PMID 31270367›Full record

ArticleScientific reports2019

Willingness to decrease mammogram frequency among women at low risk for hereditary breast cancer.

Yue Guan, Eric Nehl, Ioana Pencea, Celeste M Condit, Cam Escoffery, Cecelia A Bellcross, Colleen M McBride

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Prediction of Breast Cancer using Machine Learning Approaches.Journal of biomedical physics & engineering · 2022
    Article
  4. Article
  5. 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.

Yue GuanDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, USA. yue.guan@emory.edu.
Eric NehlDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, USA.
Ioana PenceaDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, USA.
Celeste M ConditDepartment of Communication Studies, Franklin College of Arts and Sciences, University of Georgia, Athens, USA.
Cam EscofferyDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, USA.
Cecelia A BellcrossDepartment of Human Genetics, Emory University School of Medicine, Atlanta, USA.
Colleen M McBrideDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess women's willingness to alter mammogram frequency based on their low risk for HBOC, and to examine if cognitive and emotional factors are associated with women's inclination to decrease mammogram frequency. We conducted an online survey with women (N = 124) who were unlikely to have a BRCA mutation and at average population risk for breast cancer based on family history. Most women were either white (50%) or African American (38%) and were 50 years or older (74%). One-third of women (32%) were willing to decrease mammogram frequency (as consistent with the USPSTF guideline), 42% reported being unwilling and 26% were unsure. Multivariate logistic regression showed that feeling worried about breast cancer (Adjust OR = 0.33, p = 0.01), greater genetic risk knowledge (Adjust OR = 0.74, p = 0.047), and more frequent past mammogram screening (Adjust OR = 0.13, p = 0.001) were associated with being less willing to decrease screening frequency. Findings suggest that emerging genomics-informed medical guidelines may not be accepted by many patients when the recommendations go against what is considered standard practice. Further study of the interplay between emotion- and cognition-based processing of the HBOC screen result will be important for strategizing communication interventions aimed at realizing the potential of precision public health.

Indexed as

AdultBRCA1 ProteinBreast NeoplasmsEarly Detection of CancerFemaleHumansLogistic ModelsMammographyMiddle AgedOdds RatioPilot ProjectsRisk FactorsSurveys and QuestionnairesBRCA1 ProteinBRCA1 protein, human

Identifiers

PMID31270367
PMCPMC6610104

What OpenQuestion holds

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LicenceCC BY
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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.