Evidence map›Paper›PMID 34550593›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Contrast-Based and Arm-Based Models for Network Meta-Analysis.

Amalia Karahalios, Joanne E McKenzie, Ian R White

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Audit and Feedback Interventions for Antibiotic Prescribing in Primary Care: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Pooled it
  3. Pooled it
  4. Estimating on-farm genotypic performance and variability using ranking data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Bayesian modelling strategies for borrowing of information in randomised basket trials.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022
    Article
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Amalia KarahaliosSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. karahalios@unimelb.edu.au.
Joanne E McKenzieSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Ian R WhiteMRC Clinical Trials Unit at UCL, London, UK.

Funding

Medical Research Council MC_UU_00004/06Medical Research Council MC_UU_00004/09
6 · The paper itself

Abstract

Network meta-analysis is used to synthesize evidence from a network of treatments. The models used in a network meta-analysis are more complex than those used for pairwise meta-analysis. Two types of models are available to undertake a network meta-analysis: contrast-based and arm-based models. Contrast-based models have been used in most published network meta-analyses. Arm-based models offer greater flexibility and handle treatments symmetrically, but risk compromising randomization. In this chapter, we (1) present the contrast-based and arm-based statistical models; (2) describe the theoretical differences between the models (noting when the estimates from the models are expected to diverge); (3) summarize the evidence comparing the two models from simulation studies and empirical investigations; and (4) provide a worked example applying the two models to a network using the R software package.

Indexed as

Models, StatisticalNetwork Meta-Analysis as TopicArm-basedBayesianContrast-basedMixed treatment comparisonsModelsMultiple treatments meta-analysisNetwork meta-analysisSystematic review

Identifiers

PMID34550593

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.