Skip to main navigation Skip to search Skip to main content

Exercise training for chronic heart failure (ExTraMATCH II): Why all data are not equal

Neil Andrew Smart, Rod Taylor, Sarah Walker, Fiona Warren, Oriana Ciani, Constantinos H Davos, Massimo Piepoli

Research output: Contribution to journalLetterpeer-review

6 Citations (Scopus)

Abstract

We, the ExTraMATCH II collaborative, recently completed an individual patient data (IPD) meta-analysis on the effect of exercise-based cardiac rehabilitation (ExCR) on mortality and hospitalisation in patients with heart failure. This analysis considered 18 randomised controlled trials, which included 3912 people with heart failure who were randomised to an ExCR intervention or control group (treatment as usual). Unlike the original ExTraMATCH IPD meta-analysis published in 2004 by Piepoli et al., this latest analysis did not demonstrate mortality and hospitalisation benefits from ExCR in patients with heart failure. We believe that some of the reasons for this difference in findings could be attributed to the data provided by the individual trials. We share here some of the data problems we encountered and provide our insights. In doing so, we also propose some recommendations for both future study designs and funding bodies, so that we may move towards a more efficacious approach to managing heart failure with ExCR in the future.
Original languageEnglish
Pages (from-to)1229-1231
JournalEuropean Journal of Preventive Cardiology
Volume26
Issue number11
Early online date22 Nov 2018
DOIs
Publication statusPublished - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Exercise training for chronic heart failure (ExTraMATCH II): Why all data are not equal'. Together they form a unique fingerprint.

Cite this