Critical Appraisal of Subgroup Analysis
Received Date: Jan 08, 2016 / Accepted Date: Jan 15, 2016 / Published Date: Jan 22, 2016
In the subgroup analysis is performed by separating the data for patient subgroups, such as those in different stages, with different comorbidities and ages. 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.|
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.
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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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