ArticleResearch synthesis methods2018
A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations.
Article in Research synthesis methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Comparative Effectiveness of Digital Health Technologies in Tuberculosis Treatment: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2025Pooled it
- Efficacy and safety of urate-lowering agents in asymptomatic hyperuricemia: systematic review and network meta-analysis of randomized controlled trials.BMC nephrology · 2022Pooled it
- Effects of Anti-Diabetic Drugs on Fracture Risk: A Systematic Review and Network Meta-Analysis.Frontiers in endocrinology · 2021Pooled it
- Comparing the sleep benefits of Nature-Based Interventions: Evidence from a Bayesian Network meta-analysis.iScience · 2026Article
- metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface.The R journal · 2022Article
- Bayesian network meta-regression hierarchical models using heavy-tailed multivariate random effects with covariate-dependent variances.Statistics in medicine · 2021Article
- Article
- Clinical Outcomes of Tanezumab With Different Dosages for Patient With Osteoarthritis: Network Meta-Analysis.Frontiers in pharmacology · 2021Article
- The long-term outcomes of different grafts in anterior cruciate ligament reconstruction: a network meta-analysis.Journal of orthopaedic translation · 2021Review
- A frequentist one-step model for a simple network meta-analysis of time-to-event data in presence of an effect modifier.PloS one · 2021Article
- Article
- Identifying inconsistency in network meta-analysis: Is the net heat plot a reliable method?Statistics in medicine · 2019Article
- Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies.BMC medical research methodology · 2019Article
- Glucagon-like peptide-1 receptor agonists and fracture risk: a network meta-analysis of randomized clinical trials.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018Article
- Recent advances in methodology for clinical trials in small populations: the InSPiRe project.Orphanet journal of rare diseases · 2018Review
- A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis.Research synthesis methods · 2018Article
- A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations.Research synthesis methods · 2018Article
- Declining Mortality and Rising Disability From Low Bone Mineral Density in Postmenopausal Women in China and G20 Countries.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network meta-analysis (NMA) is gaining popularity for comparing multiple treatments in a single analysis. Generalized linear mixed models provide a unifying framework for NMA, allow us to analyze datasets with dichotomous, continuous or count endpoints, and take into account multiarm trials, potential heterogeneity between trials and network inconsistency. To perform inference within such NMA models, the use of Bayesian methods is often advocated. The standard inference tool is Markov chain Monte Carlo (MCMC), which is computationally expensive and requires convergence diagnostics. A deterministic approach to do fully Bayesian inference for latent Gaussian models can be achieved by integrated nested Laplace approximations (INLA), which is a fast and accurate alternative to MCMC. We show how NMA models fit in the class of latent Gaussian models and how NMA models are implemented using INLA and demonstrate that the estimates obtained by INLA are in close agreement with the ones obtained by MCMC. Specifically, we emphasize the design-by-treatment interaction model with random inconsistency parameters (also known as the Jackson model). Also, we have proposed a network meta-regression model, which is constructed by incorporating trial-level covariates to the Jackson model to explain possible sources of heterogeneity and/or inconsistency in the network. A publicly available R package, nmaINLA, is developed to automate the INLA implementation of NMA models, which are considered in this paper. Three applications illustrate the use of INLA for a NMA.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.