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Identifying the Optimal Exercise Prescription for Patients with Coronary Artery Disease Undergoing Cardiac Rehabilitation: Protocol for a Systematic Review and Network Meta-Analysis of Randomized Control Trials

Author

Listed:
  • Shraddha Shah

    (Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal 576104, India)

  • Grace Dibben

    (MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, Institute of Health and Well Being, University of Glasgow, Glasgow G12 8QQ, UK)

  • Aditi Ketkar

    (DES Institutes, Brijlal Jindal College of Physiotherapy, Pune 411004, India)

  • David L. Hare

    (Department of Cardiology, Austin Health, University of Melbourne, Melbourne, VIC 3084, Australia)

  • Jonathan Myers

    (Department of Cardiology, Veterans Affairs Palo Alto Health Care System/Stanford University, Palo Alto, CA 94304, USA)

  • Barry Franklin

    (Department of Preventive Cardiology and Cardiac Rehabilitation, William Beaumont Hospital, Royal Oak, MI 48073, USA)

  • Abraham Samuel Babu

    (Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal 576104, India
    Department of Cardiology, Austin Health, University of Melbourne, Melbourne, VIC 3084, Australia)

  • Rod S. Taylor

    (MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, Institute of Health and Well Being, University of Glasgow, Glasgow G12 8QQ, UK)

Abstract

Coronary artery disease (CAD) is one of the leading causes of mortality and morbidity. Exercise-based cardiac rehabilitation (EBCR) has been shown to improve clinical outcomes in these patients, and yet clinicians are often challenged to prescribe the most effective type of exercise training. Therefore, this systematic review and network meta-analysis (NMA) aims to formally quantify the optimal dose of exercise training interventions to improve exercise capacity and quality of life by undertaking direct and indirect pooled comparisons of randomized controlled trials. A detailed search will be conducted on PubMed/MEDLINE, Cumulative Index to Nursing and Allied Health (CINAHL), EMBASE and Web of Science. Two reviewers will screen the existing literature and assess the quality of the studies. Disagreements will be resolved through consensus. We anticipate that the analysis will include pairwise and Bayesian network meta-analyses. Most of the trials have studied the impact of exercise training comparing one or two modalities. As a result, little evidence exists to support which interventions will be most effective. The current NMA will address this gap in the literature and assist clinicians and cardiac rehabilitation specialists in making an informed decision. Results will be disseminated through peer-reviewed journals. Ethical approval is not applicable, as no research participants will be involved. PROSPERO Registration number: CRD42022262644.

Suggested Citation

  • Shraddha Shah & Grace Dibben & Aditi Ketkar & David L. Hare & Jonathan Myers & Barry Franklin & Abraham Samuel Babu & Rod S. Taylor, 2022. "Identifying the Optimal Exercise Prescription for Patients with Coronary Artery Disease Undergoing Cardiac Rehabilitation: Protocol for a Systematic Review and Network Meta-Analysis of Randomized Cont," IJERPH, MDPI, vol. 19(19), pages 1-7, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12317-:d:927528
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