Exercise stress cardiac magnetic resonance imaging in the assessment of induced cardiovascular responses in cardiac patients: A scoping review protocol

Egidie Uwase, Maxime Caru, Ariane Levesque, Philippe Dodin, Daniel Curnier, Delphine Périé

Research output: Contribution to journalReview articlepeer-review

Abstract

Objective: This scoping review will describe cardiac magnetic resonance imaging testing protocols used in combination with exercise (Ex-CMR) to assess cardiovascular responses. The review will document the advantages and limitations of these protocols in cardiac patients. Introduction: Ex-CMR characterizes the heart, differentiating between normal and pathological cardiac remodeling with considerable accuracy. However, there is no review detailing existing Ex-CMR protocols. This is particularly important since not all Ex-CMR protocols seem to induce enough stress to effectively characterize cardiac remodeling, hence the need for a review to report on the current evidence. Inclusion criteria: This review will consider studies that use Ex-CMR testing protocols to assess cardiovascular responses, revealing cardiac remodeling in patients whose age at the time of the study was ≥ 18 years. Methods: The review will be conducted in accordance with the JBI methodology for scoping reviews and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The following databases will be searched: PubMed, Embase, ISI Web of Science, OpenGrey, Grey Matters, and OAlster. Articles in English and French will be included and there will be no limitation set for the date of publication. Data will be extracted from papers included in the scoping review by 2 independent reviewers and will be classified in summary tables. Review registration: Open Science Framework https://osf.io/hvn75/?view_only=f6cf8fc2112e498d89c39639dbce70d1.

Original languageEnglish (US)
Pages (from-to)1879-1887
Number of pages9
JournalJBI evidence synthesis
Volume21
Issue number9
DOIs
StatePublished - Sep 1 2023

All Science Journal Classification (ASJC) codes

  • General Medicine

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