Evidence map›Paper›PMID 38539047›Full record

ArticleEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2024

Decision analysis in cardiac surgery: a scoping review and methodological primer.

Dominique Vervoort, Grace S Lee, Hillary Lia, Abdul Muqtader Afzal, Derrick Y Tam, Maral Ouzounian, Johanna J M Takkenberg, Harindra C Wijeysundera, Stephen E Fremes

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  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

9 authors.

Dominique VervoortInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3142-0388
Grace S LeeTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Hillary LiaTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Abdul Muqtader AfzalSchulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
Derrick Y TamInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Maral OuzounianDivision of Cardiac Surgery, University of Toronto, Toronto, ON, Canada.
Johanna J M TakkenbergDepartment of Cardiothoracic Surgery, Erasmus University Medical Center, Rotterdam, Netherlands.ORCID 0000-0001-9809-5623
Harindra C WijeysunderaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-8464-1080
Stephen E FremesInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRandomized controlled trials are the gold standard for evidence generation in medicine but are limited by their real-world generalizability, resource needs, shorter follow-up durations and inability to be conducted for all clinical questions. Decision analysis (DA) models may simulate trials and observational studies by using existing data and evidence- and expert-informed assumptions and extend analyses over longer time horizons, different study populations and specific scenarios, helping to translate population outcomes to patient-specific clinical and economic outcomes. Here, we present a scoping review and methodological primer on DA for cardiac surgery research.

methodsA scoping review was performed using the PubMed/MEDLINE, EMBASE and Web of Science databases for cardiac surgery DA studies published until December 2021. Articles were summarized descriptively to quantify trends and ascertain methodological consistency.

resultsA total of 184 articles were identified, among which Markov models (N = 92, 50.0%) were the most commonly used models. The most common outcomes were costs (N = 107, 58.2%), quality-adjusted life-years (N = 96, 52.2%) and incremental cost-effectiveness ratios (N = 89, 48.4%). Most (N = 165, 89.7%) articles applied sensitivity analyses, most frequently in the form of deterministic sensitivity analyses (N = 128, 69.6%). Reporting of guidelines to inform the model development and/or reporting was present in 22.3% of articles.

conclusionDA methods are increasing but remain limited and highly variable in cardiac surgery. A methodological primer is presented and may provide researchers with the foundation to start with or improve DA, as well as provide readers and reviewers with the fundamental concepts to review DA studies.

Indexed as

Cardiac Surgical ProceduresCost-Benefit AnalysisDecision Support TechniquesHeartHumansCardiac surgeryDecision analysisDecision-makingModelling

Identifiers

PMID38539047
PMCPMC11004554

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.