Department of Clinical Research, Federal University of Uberlândia, Uberlândia, Brazil
Received date: 08 January, 2016; Accepted date: 15 January, 2016; Published date: 22 January, 2016
Citation:Roever L, Oliveira BFG (2016) Critical Appraisal of Subgroup Analysis 1:e115. doi:10.4172/2471-9919.1000e115
Copyright: © 2016 Roever L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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In the subgroup analysis is performed by separating the data for patient subgroups, such as those in different stages, with different comorbidities and ages. The Table 1 shows the checklist needed to make a critical analysis of subgroup analysis [1-8].
The hypothesis was before or after the analysis?
The difference between subgroups was one of a small number of hypotheses tested effects?
The difference between the subgroups is suggested by comparison intra studies?
What is the magnitude of the difference between subgroups?
The difference between subgroups is consistent among the analysed studies?
The difference between subgroups is statistically significant? The appropriate statistical test was used?
There is external evidence that supports the hypothesis of difference between subgroups?
There is constant interaction between the results found and previous studies?
Conflicts of interest are declared.
Rate the overall methodological quality of the study, using the following as a guide:
High quality (++): Majority of criteria met. Little or no risk of bias.
Acceptable (+): Most criteria met. Some flaws in the study with an associated risk of bias.
Low quality (-): Either most criteria not met, or significant flaws relating to key aspects of study design.
Reject (0): Poor quality study with significant flaws. Wrong study type. Not relevant to guideline.
Table 1: Critical appraisal of subgroup analysis.
Use this checklist can improve the evaluation of subgroup analysis.