Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/17103
Title: A comparison of individual patient analysis versus pooled study meta-analysis methodologies of exercise training trials in heart failure patients
Contributor(s): Smart, Neil  (author)orcid ; Steele, Michael (author)
Publication Date: 2014
Handle Link: https://hdl.handle.net/1959.11/17103
Abstract: 'Background': A fixed effects meta-analysis of ten exercise training in trials heart failure patients was conducted. The aim of this current work was to compare different approaches to meta analysis using the same dataset from the previous work on ten exercise training trials in heart failure patients. 'Methods': The following different meta-analysis techniques were used to analyse the data and compared the effects of exercise training on BNP, NT-pro-BNP and peak VO2 before and after exercise training: (1) Trial level (traditional) level MA i) Follow up (post-exercise training intervention) outcome only. ii) Baseline-follow up difference (2) Patient level MA by Post-Stage ANCOVA i) naive model does not take into account trial level ii) Single Stage iii) Two Stage (3) Post outcome only i) Single stage ii) Pre-post outcome difference Single stage. 'Results': The Individual patient data (IPD) analyses produced smaller effect sizes and 95% confidence intervals compared to conventional meta-analysis. The advantage of the one-stage model is that it allows sub-group analyses, while the two-stage model is considered more robust but limited for sub-analyses. 'Conclusions': Our recommendation is to use one-stage or two-stage ANCOVA analysis, the former allows sub-group analysis, while the latter is considered to be more technically robust.
Publication Type: Journal Article
Source of Publication: Journal of Data Science, 12(2), p. 377-384
Publisher: Columbia University
Place of Publication: United States of America
ISSN: 1683-8602
1680-743X
Field of Research (FOR): 110299 Cardiovascular Medicine and Haematology not elsewhere classified
110201 Cardiology (incl Cardiovascular Diseases)
010406 Stochastic Analysis and Modelling
Socio-Economic Outcome Codes: 920103 Cardiovascular System and Diseases
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Other Links: http://www.jds-online.com/file_download/455/10.JDS-1270_1.pdf
Statistics to Oct 2018: Visitors: 190
Views: 238
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
3 files
File Description SizeFormat 
Show full item record

Page view(s)

74
checked on Dec 29, 2018
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.