Evidence mapPaperPMID 37505352Full record

ArticleAnnals of surgical oncology2023

Implementation of a Novel Patient Decision Aid for Women with Elevated Breast Cancer Risk Who Are Considering MRI Screening: A Pilot Study.

Crystal D Chu, Caleigh E Smith, Janelle Gorski, Mark Smolkin, Hui Zhao, Randy A Jones, Patricia Hollen, Lynn T Dengel

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Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Crystal D ChuUniversity of Virginia School of Nursing, Charlottesville, VA, USA. cdm9b@virginia.edu.ORCID http://orcid.org/0000-0002-4104-1920
Caleigh E SmithDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
Janelle GorskiSentara Healthcare, Norfolk, VA, USA.
Mark SmolkinDepartment of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
Hui ZhaoJames Madison University School of Nursing, Harrisonburg, VA, USA.
Randy A JonesUniversity of Virginia School of Nursing, Charlottesville, VA, USA.
Patricia HollenUniversity of Virginia School of Nursing, Charlottesville, VA, USA.
Lynn T DengelDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
University of Virginia · USJames Madison University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the feasibility and acceptability of using a patient decision aid (DA) for women with elevated breast cancer risk who are considering MRI screening.

methodsThis pilot study employed a mixed methods design to develop, modify, and test an interactive DA. The DA was administered among a consecutive patient sample with an estimated Tyrer-Cuzick v.8 lifetime breast cancer risk of 20% or greater and without a pathologic genetic mutation. The decisional conflict scale was used to measure decisional conflict. Post-intervention provider and patient feedback evaluated shared decision-making, feasibility, and acceptability.

resultsTwenty-four patients participated, with a median age of 44 years. Prior to DA use, sixteen patients (67%) were unsure whether to add MRI to their screening, six patients elected MRI (25%), and two patients declined MRI (8%). Following DA use, thirteen of sixteen of the initially undecided participants (81%) established a preference, with eleven electing to add MRI screening. Of participants with an initial preference, all maintained the same decision following use of the DA. Prior to the DA, the median decisional conflict score among participants was 25% (range 0-60%) compared with 0% (range 0-25%) after the DA. Healthcare providers reported that the DA was useful and easily incorporated into clinical workflow.

conclusionsThis pilot study shows that there may be a benefit to DA utilization in the high-risk breast cancer clinic to guide shared decision-making in establishing a screening preference. The findings warrant further research to test the use of the DA in a larger, multi-site trial.

Indexed as

Breast NeoplasmsAdultDecision MakingDecision Support TechniquesEarly Detection of CancerFemaleHumansMiddle AgedPilot ProjectsDecision aidDecisionKEYSHigh risk breastMRI screeningShared decision making

Identifiers

PMID37505352
OpenAlexW4385330048

What Socratic holds

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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 Socratic graph.