In systematic reviews statistical pooling is not always possible due to inadequate
reporting of the results of original studies. In these reviews, a qualitative analysis
using levels of evidence may be performed to summarize the evidence and to formulate
conclusions [
[1]
]. This is explicit and reproducible, because it explains the exact meaning of labels
like strong, moderate, and limited evidence. In the course of time, different sets
of levels of evidence have been published [
2
,
3
,
4
,
5
]. All these sets are arbitrary and based on common sense at best. Ferreira et al.
[
[6]
] show in their article that these different criteria may lead to different conclusions.
They advise readers to be cautious when interpreting conclusions of systematic reviews
that use levels of evidence. We fully agree, but not merely because different sets
of criteria exist. If only one set of levels of evidence would exist this warning
would even be more necessary. The use of levels of evidence is essentially an arbitrary
and subjective way of summarizing evidence. Typically levels of evidence take into
account the quality of the studies and the consistency of the results. In contrast
to meta-analysis (statistical pooling), levels of evidence do not include the size
of the effect. In the interpretation of both the conclusions of a study and its methodologic
quality, there is some subjectivity involved. For example, grading the conclusions
is difficult when there is borderline statistical significance, when a positive effect
is observed for only part of many outcome measures studied, or when the reviewers
do not agree with the authors' conclusions.To read this article in full you will need to make a payment
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Article info
Publication history
Accepted:
March 12,
2003
Identification
Copyright
© 2003 Elsevier Inc. Published by Elsevier Inc. All rights reserved.