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Metformin is comparable to insulin for pharmacotherapy in gestational diabetes mellitus: A network meta-analysis evaluating 6046 women.
(
Elsevier
, 2021 , Article)
The comparative efficacy of gestational diabetes (GDM) treatments lack conclusive evidence for choice of first-line treatment. The aim of this study was to compare the efficacy of metformin and glibenclamide to insulin ...
The robust error meta-regression method for dose-response meta-analysis.
(
Lippincott, Williams & Wilkins
, 2018 , Article)
Dose-response meta-analysis has been widely employed in evidence-based decision-making. Currently, the most popular approach is the one or two-stage generalized least squares for trend model. This approach however has some ...
Methodological issues of systematic reviews and meta-analyses in the field of sleep medicine: A meta-epidemiological study
(
Elsevier
, 2021 , Article)
An increasing number of systematic reviews and meta-analyses (SRMAs) have been published in the field of sleep medicine. We evaluated the methodological issues of these SRMAs. A protocol was developed in advance. Three ...
Association between response rates and monetary incentives in sample study: a systematic review and meta-analysis.
(
BMJ Publishing Group
, 2020 , Article)
To investigate the effect of monetary incentive and the dose-response relationship of participants' response rates in surveys. Three databases were searched for randomised controlled trials (RCTs) that investigated the ...
Laplace approximation, penalized quasi-likelihood, and adaptive Gauss-Hermite quadrature for generalized linear mixed models: Towards meta-analysis of binary outcome with sparse data
(
BMC
, 2020 , Article)
© 2020 The Author(s). Background: In meta-analyses of a binary outcome, double zero events in some studies cause a critical methodology problem. The generalized linear mixed model (GLMM) has been proposed as a valid ...
Many meta-analyses of rare events in the Cochrane Database of Systematic Reviews were underpowered
(
Elsevier
, 2021 , Article)
Background and ObjectiveMeta-analysis is a statistical method with the ability to increase the power for statistical inference, while it may still face the problem of being underpowered. In this study, we investigated the ...
Arcsine-based transformations for meta-analysis of proportions: Pros, cons, and alternatives
(
Wiley Open Access
, 2020 , Article)
© 2020 The Authors. Health Science Reports published by Wiley Periodicals LLC. Meta-analyses have been increasingly used to synthesize proportions (eg, disease prevalence) from multiple studies in recent years. Arcsine-based ...
Protocols for meta-analysis of intervention safety seldom specified methods to deal with rare events
(
Elsevier
, 2020 , Article Review)
ObjectivesMeta-analyses of rare events often generate unstable results, and selective reporting of the results may mislead the health care decision. Developing a synthesis plan for rare events in protocol may help to ...
P-value driven methods were underpowered to detect publication bias: analysis of Cochrane review meta-analyses
(
Elsevier
, 2019 , Article)
To investigate the effect of number of studies in a meta-analysis on the detection of publication bias using p-value driven methods. The proportion of meta-analyses detected by Egger's, Harbord's, Peters', and Begg's tests ...
Quality versus Risk-of-Bias assessment in clinical research
(
Elsevier
, 2021 , Article)
Assessment of internal validity safeguards implemented by researchers has been used to examine the potential reliability of evidence generated within a study. These safeguards protect against systematic error, and such an ...