Evidence map›Paper›PMID 24777711›Full record

ArticleStatistics in medicine2014

A design-by-treatment interaction model for network meta-analysis with random inconsistency effects.

Dan Jackson, Jessica K Barrett, Stephen Rice, Ian R White, Julian P T Higgins

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 82 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 82 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

185 citing papers in PubMed, 82 syntheses or guidelines pooled it.

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  3. Which orthodontic retainer provides the best stabilization? : Systematic review and network meta-analysis.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026
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125 more citing papers are in PubMed but not listed here.

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

5 authors.

Dan JacksonMRC Biostatistics Unit, Cambridge, U.K.
Jessica K Barrett
Stephen Rice
Ian R White
Julian P T Higgins

Funding

British Heart Foundation RG/08/014/24067Medical Research Council G0902100Medical Research Council MC_EX_G0902100Medical Research Council MC_U105260558Medical Research Council MC_U105261167Medical Research Council MC_U105285807Medical Research Council MR/J013595/1Medical Research Council MR/K014811/1Medical Research Council MR/K025643/1Medical Research Council MR/L003120/1Medical Research Council MR/L501566/1Medical Research Council U105260558Medical Research Council U105285807
6 · The paper itself

Abstract

Network meta-analysis is becoming more popular as a way to analyse multiple treatments simultaneously and, in the right circumstances, rank treatments. A difficulty in practice is the possibility of 'inconsistency' or 'incoherence', where direct evidence and indirect evidence are not in agreement. Here, we develop a random-effects implementation of the recently proposed design-by-treatment interaction model, using these random effects to model inconsistency and estimate the parameters of primary interest. Our proposal is a generalisation of the model proposed by Lumley and allows trials with three or more arms to be included in the analysis. Our methods also facilitate the ranking of treatments under inconsistency. We derive R and I(2) statistics to quantify the impact of the between-study heterogeneity and the inconsistency. We apply our model to two examples.

Indexed as

Bayes TheoremMeta-Analysis as TopicModels, StatisticalResearch DesignTreatment OutcomeHumansOsteoarthritis, KneePainSmoking CessationSoftwareinconsistencymixed treatment comparisonsmultiple treatments meta-analysisnetwork meta-analysissensitivity analysis

Identifiers

PMID24777711
PMCPMC4285290

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.