Evidence map›Paper›PMID 40467319›Full record

ArticleBMJ open2025

Understanding preferences of patients with multivessel coronary artery disease towards revascularisation and optimal medical therapy: a protocol for a discrete choice experiment.

Todd Wilson, Maria Dalton, Nirav Bhagat, Bryan Har, Doyin Abatan, Glen Hazlewood, Maria-Jose Santana, Gary Semeniuk, Ayotunde Kayode, Sukhwant Parmar and 7 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Todd WilsonDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.ORCID http://orcid.org/0000-0002-4345-0146
Maria DaltonDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Nirav BhagatDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Bryan HarLibin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.
Doyin AbatanDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Glen HazlewoodDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID http://orcid.org/0000-0001-7709-3741
Maria-Jose SantanaDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.ORCID http://orcid.org/0000-0002-0202-5952
Gary SemeniukLibin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.
Ayotunde KayodeLibin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.
Sukhwant ParmarLibin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.
Winnie PearsonLibin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.
Aishah Matar Mohamed Mobarak AlhmoudiDepartment of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Nishan SharmaDepartment of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Stephen WiltonLibin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.
Michelle GrahamFaculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Matthew JamesDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Tolulope SajobiDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada ttsajobi@ucalgary.ca.ORCID http://orcid.org/0000-0002-5696-5552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe selection of the optimal treatment strategy remains one of the most challenging decisions in the management of coronary artery disease (CAD). Surgical and percutaneous coronary revascularisation are two widely used treatments for managing CAD and can result in improved outcomes compared with medications alone. Current practice guidelines recommend revascularisation for multivessel CAD for most patients. However, there remains uncertainty about whether revascularisation or medical therapy is optimal for managing multivessel disease for many patients, especially, in the elderly and those living with multimorbidity. Also, there is limited understanding of patient preferences towards candidate treatment options for multivessel disease. This study aims to quantify and characterise heterogeneity in patient preferences towards treatment options for multivessel CAD. METHODS AND ANALYSIS: We have designed and will administer a discrete choice experiment to elicit and quantify preferences of people with multivessel CAD towards revascularisation and optimal medical therapy for managing multivessel CAD. Multinomial logit mixed effects and hierarchical Bayes models will be used to model the association between the participants' choices and the attributes and their different levels. The relative importance of the attributes will be assessed using the size of coefficients and marginal rate of substitution (MRS), a measure of the willingness to accept a trade-off among different options. Heterogeneity in patient preferences will be evaluated using latent class analysis. ETHICS AND DISSEMINATION: Ethical approval for this study was granted by the University of Calgary Conjoint Health Research Ethics Board. Findings from this study will inform the development of clinical decision support tool that integrates patient preferences with clinical risk information to support patient-care provider discussion about optimal treatment for multivessel CAD management.

Indexed as

Choice BehaviorCoronary Artery DiseaseMyocardial RevascularizationPatient PreferencePercutaneous Coronary InterventionAgedBayes TheoremFemaleHumansMaleResearch DesignCoronary heart diseasePatient-Centered CarePatient ParticipationSurveys and Questionnaires

Identifiers

PMID40467319
PMCPMC12142025

What OpenQuestion holds

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LicenceCC BY-NC
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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.