Network Meta-Analysis — Pharmacological T2DM Prevention in Arab Populations
PRISMA-NMA compliant network meta-analysis of 47 RCTs (31,420 participants) evaluating pharmacological T2DM prevention strategies. Produced SUCRA rankings, GRADE certainty assessments, and an Arab-population subgroup analysis for a Kuwaiti research institute.
Project highlights
Methods & Tools
Ranking diabetes-prevention interventions across a fragmented evidence base required a coherent network meta-analysis that respected transitivity and quantified the certainty of every comparison.
We synthesized 47 RCTs in a network meta-analysis, checked consistency, and graded the certainty of the evidence to PRISMA-NMA standards.
Built and screened the evidence network (47 RCTs, 31,420 participants) to PRISMA-NMA 2020 standards and assessed transitivity across the four intervention classes.
Fitted frequentist and Bayesian network meta-analysis models in R (netmeta, gemtc/JAGS), evaluating consistency with node-splitting and heterogeneity diagnostics.
Derived SUCRA treatment rankings and graded certainty with GRADE/CINeMA, with meta-regression for effect modifiers.
PRISMA-NMA-compliant systematic review and network meta-analysis report.
SUCRA rankings, league tables, and network/forest plots.
GRADE/CINeMA certainty-of-evidence profiles.
Conducted and reported to PRISMA-NMA 2020 standards.
Transitivity assessed and consistency checked via node-splitting.
Certainty of evidence graded with GRADE/CINeMA.
Frequentist and Bayesian models cross-checked for agreement.
A network meta-analysis is not easy to do correctly, and many groups make mistakes in it. Their team followed the PRISMA steps properly, and the figures were clear for the readers. The journal accepted the paper with only minor comments — for this kind of work, that is rare.
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