Network Meta-analysis Support
Network meta-analysis support for multi-treatment evidence networks, assumptions, modelling, inconsistency assessment, ranking, and reporting.
Network meta-analysis combines direct and indirect evidence across a connected network of interventions. It requires stronger assumptions than a standard pairwise meta-analysis, especially comparability of effect modifiers across comparisons. Tezyar supports feasibility assessment, data structure, modelling, diagnostics, and cautious interpretation.
Is the Evidence Network Connected?
A disconnected network cannot estimate all relative effects in one model. Treatment definitions and comparison structure need to be checked before modelling.
Transitivity
Indirect comparisons rely on studies being sufficiently comparable with respect to important effect modifiers across treatment comparisons.
Consistency and Heterogeneity
Direct and indirect evidence should be assessed for disagreement where the network provides the necessary loops and data.
Treatment Ranking With Caution
Ranking metrics can be useful summaries but should be interpreted alongside effect estimates, uncertainty, study quality, and clinical relevance.
Frequently Asked Questions
Can every set of treatment studies be analysed with network meta-analysis?
No. The network must be connected and the assumptions supporting indirect comparison must be credible.
Does network meta-analysis replace pairwise comparisons?
No. Pairwise evidence remains an important component of the network and of consistency assessment.
Related specialized topics
Systematic review search strategy support for concepts, databases, controlled vocabulary, Boolean logic, documentation, and reproducibility.
Risk-of-bias assessment support using study-design-appropriate tools such as RoB 2, ROBINS-I, and JBI instruments.
GRADE support for rating certainty of evidence across outcomes and preparing transparent evidence profiles.
Meta-analysis support in R for effect-size preparation, random- and fixed-effect models, heterogeneity, subgroup analysis, meta-regression, and forest plots.
PRISMA 2020 support for systematic review reporting, flow diagrams, checklists, methods transparency, and manuscript review.
PROSPERO protocol support for eligible systematic reviews: review question, eligibility, outcomes, search approach, bias assessment, and synthesis plan.