Evidence map›Paper›PMID 35723793›Full record

ArticleBreast cancer research and treatment2022

Decision quality and regret with treatment decisions in women with breast cancer: Pre-operative breast MRI and breast density.

Karen J Wernli, Rebecca E Smith, Louise M Henderson, Wenyan Zhao, Danielle D Durham, Karen Schifferdecker, Celia Kaplan, Diana S M Buist, Karla Kerlikowske, Diana L Miglioretti and 7 more

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03029286 (ENGAGED 2 Study), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 15% 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.

NCT03029286 nacompletednot on this map

ENGAGED 2 Study: Experiences With Mammography Screening and Breast Density 2

TypeinterventionalSponsorGeorgetown UniversityRan2017 to 2019Enrolled995ConditionsBreast Density, Breast Cancer FemaleArmsUsual Care Arm, Personalized Web Intervention Arm
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 8 institutions in 1 country.

Karen J WernliKaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA, 98101, USA. Karen.J.Wernli@kp.org.ORCID http://orcid.org/0000-0001-7945-0327
Rebecca E SmithThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Louise M HendersonUniversity of North Carolina-Chapel Hill, Chapel Hill, NC, USA.
Wenyan ZhaoThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Danielle D DurhamUniversity of North Carolina-Chapel Hill, Chapel Hill, NC, USA.
Karen SchifferdeckerThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Celia KaplanUniversity of California-San Francisco, San Francisco, CA, USA.
Diana S M BuistKaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA, 98101, USA.
Karla KerlikowskeUniversity of California-San Francisco, San Francisco, CA, USA.
Diana L MigliorettiKaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA, 98101, USA.
Tracy OnegaUniversity of Utah, Salt Lake City, UT, USA.
Nila H AlsheikAdvocate Aurora Health Care, Park Ridge, IL, USA.
Brian L SpragueUniversity of Vermont, Burlington, VT, USA.
Gloria Jackson-NefertitiUniversity of California-Davis, Davis, CA, USA.
Jill BudeskyUniversity of California-Davis, Davis, CA, USA.
Dianne JohnsonUniversity of California-Davis, Davis, CA, USA.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA.
Dartmouth College · USKaiser Permanente Washington Health Research Institute · USUniversity of California, Davis · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USAurora Health Care · USUniversity of Utah · USUniversity of Vermont · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
AHRQ HHS R01 HS018366NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS P30 CA023108NCI NIH HHS U54 CA163303NCI NIH HHS U54CA163303Patient-Centered Outcomes Research Institute PCS-1504-30370
6 · The paper itself

Abstract

purposeWe evaluated self-report of decision quality and regret with breast cancer surgical treatment by pre-operative breast MRI use in women recently diagnosed with breast cancer.

methodsWe conducted a survey with 957 women aged 18 + with stage 0-III breast cancer identified in the Breast Cancer Surveillance Consortium. Participants self-reported receipt of pre-operative breast MRI. Primary outcomes were process measures in the Breast Cancer Surgery Decision Quality Instrument (BCS-DQI) (continuous outcome) and Decision Regret Scale (dichotomized outcome as any/none). Generalized estimating equations with linear and logit link were used to estimate adjusted associations between breast MRI and primary outcomes. All analyses were also stratified by breast density.

resultsSurvey participation rate was 27.9% (957/3430). Study population was primarily > 60 years, White, college educated, and diagnosed with early-stage breast cancer. Pre-operative breast MRI was reported in 46% of women. A higher proportion of women who were younger age (< 50 years), commercially insured, and self-detected their breast cancer reported pre-operative breast MRI use. In adjusted analysis, pre-operative breast MRI use compared with no use was associated with a small but statistically significantly higher decision quality scores (69.5 vs 64.7, p-value = 0.043). Decision regret did not significantly differ in women who reported pre-operative breast MRI use compared with no use (54.2% v. 48.7%, respectively, p-value = 0.11). Study results did not vary when stratified by breast density for either primary outcome. CONCLUSIONS AND RELEVANCE: Breast MRI use in the diagnostic work-up of breast cancer does not negatively alter women's perceptions of surgical treatment decisions in early survivorship. CLINICAL TRIALS REGISTRATION NUMBER: NCT03029286.

Indexed as

Breast NeoplasmsBreast DensityDecision MakingEmotionsFemaleHumansMagnetic Resonance ImagingMastectomyBCSCBreast cancerBreast MRIDecision qualityMastectomyPatient-reported outcomes

Identifiers

PMID35723793
PMCPMC9642106
OpenAlexW4283166216

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.