Quality assessment of included NMAs

WZ Wasifa Zarin
AV Areti Angeliki Veroniki
VN Vera Nincic
AV Afshin Vafaei
ER Emily Reynen
SM Sanober S. Motiwala
JA Jesmin Antony
SS Shannon M. Sullivan
PR Patricia Rios
CD Caitlin Daly
JE Joycelyne Ewusie
MP Maria Petropoulou
AN Adriani Nikolakopoulou
AC Anna Chaimani
GS Georgia Salanti
SS Sharon E. Straus
AT Andrea C. Tricco
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The quality of the knowledge synthesis methods was appraised using the AMSTAR tool [25]. The AMSTAR tool was created and validated to assess the methodological quality of systematic reviews of RCTs [26]. The tool measures overall quality, where a score of 8 or higher is considered high quality, 4 to 7 is moderate quality, and 0 to 3 is low quality [27]. Information for quality assessment was incorporated into the data extraction form, which was pilot-tested on a random sample of seven included articles that ranged from low to high quality.

To appraise the validity of the analytical methods applied, we used the 6-item Analysis subdomain of the ISPOR checklist for NMAs [17]. To ensure high inter-rater agreement, a workshop on the tool was held with the team and two pilot-tests were conducted on a random sample of seven included NMAs. Each pilot-test consisted of a facilitated team meeting for feedback and discussion on discrepant items. Upon completion of the pilot-tests, pairs of reviewers (AAV, WZ, JA, SS, PR, CD, JE) independently assessed the first 215 included articles. The remaining 241 included articles were assessed by one reviewer (MP) and verified by a second reviewer (AV, SS). All discrepancies were resolved by a third reviewer (WZ, AAV). ISPOR items that were not applicable to open loop networks (related terms include without a closed loop, star-shaped network, and tree-shaped network) were scored as ‘not applicable'. Items related to heterogeneity were also not applicable to NMAs that used a fixed-effect model and provided a rationale for selecting this model.

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