Article (Scientific journals)
Best-worst scaling identified adequate statistical methods and literature search as the most important items of AMSTAR2 (A measurement tool to assess systematic reviews)
Leclercq, Victoria; Hiligsmann, Mickaël; Parisi, Gianni et al.
2020In Journal of Clinical Epidemiology, 128, p. 74-82
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Keywords :
review; Meta-analysis; AMSTAR2; best-worst scaling; meta-research; expert survey
Abstract :
[en] Objective: To assess the relative importance of A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR2) items. Study design and setting: A best-worst scaling object case was conducted among a sample of experts in the field of systematic reviews (SRs) and meta-analyses (MAs). Respondents were asked in a series of 15 choice tasks to choose the most and the least important item from a set of four items from the master list, which included the 16 AMSTAR2 items. Hierarchical Bayes analysis was used to generate the relative importance score for each item. Results: The most important items highlighted by our 242 experts to conduct overview of reviews and critically assess SRs/MAs were the appropriateness of statistical analyses and adequacy of the literature search, followed by items regarding the assessment of risk of bias, the research protocol, and the assessment of heterogeneity (relative importance score >6.5). Items related to funding sources and the assessment of study selection and data extraction in duplicate were rated as least important. Conclusion: Although all AMSTAR2 items can be considered as important, our results highlighted the importance of keeping the two items (the appropriateness of statistical analyses and the adequacy of the literature search) among the critical items proposed by AMSTAR2 to critically appraise SRs/MAs.
Disciplines :
Public health, health care sciences & services
Author, co-author :
Leclercq, Victoria ;  Université de Liège - ULiège > Département des sciences de la santé publique > Epidémiologie clinique
Hiligsmann, Mickaël ;  Maastricht University > Department of Health Services Research > Care and Public Health Research Institute (CAPHRI)
Parisi, Gianni  ;  Université de Liège - ULiège > Master sc. santé publ., à finalité
Beaudart, Charlotte ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Tirelli, Ezio ;  Université de Liège - ULiège > Département de Psychologie > Neuroscience comportementale et psychopharmacologie expér.
Bruyère, Olivier  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Language :
English
Title :
Best-worst scaling identified adequate statistical methods and literature search as the most important items of AMSTAR2 (A measurement tool to assess systematic reviews)
Publication date :
2020
Journal title :
Journal of Clinical Epidemiology
ISSN :
0895-4356
eISSN :
1878-5921
Publisher :
Elsevier, Netherlands
Volume :
128
Pages :
74-82
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 27 August 2020

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