Issues relating to study design and risk of bias when including non-randomized studies in systematic reviews on the effects of interventions

Non‐randomized studies may provide valuable evidence on the effects of interventions. They are the main source of evidence on the intended effects of some types of interventions and often provide the only evidence about the effects of interventions on long‐term outcomes, rare events or adverse effec...

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Veröffentlicht in:Research synthesis methods 2013-03, Vol.4 (1), p.12-25
Hauptverfasser: Higgins, Julian PT, Ramsay, Craig, Reeves, Barnaby C, Deeks, Jonathan J, Shea, Beverley, Valentine, Jeffrey C, Tugwell, Peter, Wells, George
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container_issue 1
container_start_page 12
container_title Research synthesis methods
container_volume 4
creator Higgins, Julian PT
Ramsay, Craig
Reeves, Barnaby C
Deeks, Jonathan J
Shea, Beverley
Valentine, Jeffrey C
Tugwell, Peter
Wells, George
description Non‐randomized studies may provide valuable evidence on the effects of interventions. They are the main source of evidence on the intended effects of some types of interventions and often provide the only evidence about the effects of interventions on long‐term outcomes, rare events or adverse effects. Therefore, systematic reviews on the effects of interventions may include various types of non‐randomized studies. In this second paper in a series, we address how review authors might articulate the particular non‐randomized study designs they will include and how they might evaluate, in general terms, the extent to which a particular non‐randomized study is at risk of important biases. We offer guidance for describing and classifying different non‐randomized designs based on specific features of the studies in place of using non‐informative study design labels. We also suggest criteria to consider when deciding whether to include non‐randomized studies. We conclude that a taxonomy of study designs based on study design features is needed. Review authors need new tools specifically to assess the risk of bias for some non‐randomized designs that involve a different inferential logic compared with parallel group trials. Copyright © 2012 John Wiley & Sons, Ltd.
doi_str_mv 10.1002/jrsm.1056
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source Wiley Online Library Journals Frontfile Complete
subjects Bias
Clinical trials
Design
Evaluation Methods
Evidence
Intervention
non-randomized studies
Program Effectiveness
Program Evaluation
Research Design
Research Methodology
study design
systematic reviews
Taxonomy
title Issues relating to study design and risk of bias when including non-randomized studies in systematic reviews on the effects of interventions
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