Statistical analyses and quality of individual participant data network meta-analyses were suboptimal: a cross-sectional study

Article type
Authors
Gao Y1, Shi S1, Li M2, Luo X2, Liu M1, Yang K3, Song F4, Tian J1
1Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou
2The Second Clinical Medical College of Lanzhou University, Lanzhou
3Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou
4Public Health and Health Services Research, Norwich Medical School, University of East Anglia, Norwich
Abstract
Background:
Network meta-analyses using individual participant data (IPD-NMAs) have been increasingly used to compare the effects of multiple interventions. Although there have been many studies on statistical methods for IPD-NMAs, it is unclear whether there are statistical defects in published IPD-NMAs and whether the reporting of statistical analyses has improved.

Objectives:
This study aimed to investigate statistical methods used and assess the reporting and methodological quality of IPD-NMAs.

Methods:
We searched PubMed, Embase.com, Cochrane Library, and Web of Science up to June 3, 2019 to identify published IPD-NMAs. We included IPD-NMAs of RCTs that evaluated the clinical effects of three or more interventions for patients in any clinical conditions. Two reviewers independently performed study selection, data extraction, and quality assessment. The methodological quality was assessed using AMSTAR-2 and reporting quality assessed based on PRISMA-IPD and PRISMA-NMA. We performed stratified analyses and correlation analyses to explore the factors that might affect quality.

Results:
We identified 21 IPD-NMAs. Only 23.8% of the included IPD-NMAs reported statistical techniques used for missing participant data, 42.9% assessed the consistency, and none assessed the transitivity. None of the included IPD-NMAs reported sources of funding for trials included, only 9.5% stated pre-registration of protocols, and 28.6% assessed the risk of bias in individual studies. For reporting quality, compliance rates were lower than 50.0% for more than half of items. Less than 15.0% of the IPD-NMAs reported data integrity, presented the network geometry, or clarified risk of bias across studies. IPD-NMAs with statistical or epidemiological authors often better assessed the inconsistency (P=0.017). IPD-NMAs with a priori protocol were associated with higher reporting quality in terms of search (P=0.046), data collection process (P=0.031), and syntheses of results (P=0.006).

Conclusions:
The reporting of statistical methods and compliance rates of methodological and reporting items of IPD-NMAs were suboptimal. Authors of future IPD-NMAs should address the identified flaws and strictly adhere to methodological and reporting guidelines.

Patient or healthcare consumer involvement: No.