TY - CHAP
T1 - Systematic reviews and meta-analyses of non-randomised studies
AU - Patole, Sanjay
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2021. All rights reserved.
PY - 2021/6/26
Y1 - 2021/6/26
N2 - Randomised controlled trials (RCTs) are considered as the gold standard for clinical research because unlike other study designs, they control for known, and importantly, unknown confounders by randomisation. Evaluation of interventions should hence be ideally done by RCTs. However, RCTs are not always possible or feasible for various reasons, including ethical concerns and the need for time, effort, and funding. Difficulty in the generalisation of the findings of RCTs is also an issue given their rigid design. Non-randomised studies (non-RCTs) provide an alternative to RCTs in such situations. These include cohort, case-control and cross-sectional studies. Non-RCTs have the advantage of providing data from the real-life situation rather than that from the rigid framework of RCTs. The limitations of non-RCTs include selection bias and lack of randomisation that allow confounders to influence the results. At best, non-RCTs can only generate hypotheses for testing in RCTs. This chapter covers the methodology for conducting, reporting and interpreting systematic reviews and meta-analysis of non-RCTs.
AB - Randomised controlled trials (RCTs) are considered as the gold standard for clinical research because unlike other study designs, they control for known, and importantly, unknown confounders by randomisation. Evaluation of interventions should hence be ideally done by RCTs. However, RCTs are not always possible or feasible for various reasons, including ethical concerns and the need for time, effort, and funding. Difficulty in the generalisation of the findings of RCTs is also an issue given their rigid design. Non-randomised studies (non-RCTs) provide an alternative to RCTs in such situations. These include cohort, case-control and cross-sectional studies. Non-RCTs have the advantage of providing data from the real-life situation rather than that from the rigid framework of RCTs. The limitations of non-RCTs include selection bias and lack of randomisation that allow confounders to influence the results. At best, non-RCTs can only generate hypotheses for testing in RCTs. This chapter covers the methodology for conducting, reporting and interpreting systematic reviews and meta-analysis of non-RCTs.
KW - Confounding
KW - MOOSE guidelines
KW - New castle ottawa scale
KW - Non-randomised studies
KW - Randomised controlled trials
KW - Risk of bias
KW - ROBINS-1 tool
UR - http://www.scopus.com/inward/record.url?scp=85125672178&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-71921-0_13
DO - 10.1007/978-3-030-71921-0_13
M3 - Chapter
AN - SCOPUS:85125672178
SN - 9783030719203
SP - 139
EP - 146
BT - Principles and Practice of Systematic Reviews and Meta-Analysis
A2 - Patole, Sanjay
PB - Springer Nature Switzerland AG
ER -