Evidence map›Paper›PMID 38477477›Full record

ArticleJournal of epidemiology and population health2024

How should a cluster randomized trial be analyzed?

Laurent Billot, Andrew Copas, Clemence Leyrat, Andrew Forbes, Elizabeth L Turner

Registry-linked trialAbstract read
In one paragraph

Article in Journal of epidemiology and population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07555093 (A Randomized Controlled Trial in Lombok), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

NCT07555093 narecruitingnot on this mapstarted 2026, after this paper: background citation

A Randomized Controlled Trial in Lombok: Assessing Factors Influencing Acceptance and Adherence to Multiple Micronutrient Supplementation (MMS) Using Digital Tools

TypeinterventionalSponsorSummit Institute for Development, IndonesiaRan2026 to 2027Enrolled10,012ConditionsPregnancy, AdherenceArmsBottle pack, Blister pack, Standard Care, Digital care
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  7. Review
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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.

Laurent BillotThe George Institute for Global Health, University of New South Wales, Sydney, Australia. Electronic address: lbillot@georgeinstitute.org.
Andrew CopasMRC Clinical Trials Unit at University College London, London, UK.
Clemence LeyratDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Andrew ForbesSchool of Public Health and Preventive Medicine, Monash University, Victoria, Australia.
Elizabeth L TurnerDepartment of Biostatistics and Bioinformatics and Duke Global Health Institute, Duke University, Durham, NC, USA.

Funding

Medical Research Council MC_UU_00004/09Medical Research Council MC_UU_12023/22
6 · The paper itself

Abstract

In cluster randomized trials, individuals from the same cluster tend to have more similar outcomes than individuals from different clusters. This correlation must be taken into account in the analysis of every cluster trial to avoid incorrect inferences. In this paper, we describe the principles guiding the analysis of cluster trials including how to correctly account for intra-cluster correlations as well as how to analyze more advanced designs such as stepped-wedge and cluster cross-over trials. We then describe how to handle specific issues such as small sample sizes and missing data.

Indexed as

Randomized Controlled Trials as TopicResearch DesignCluster AnalysisCross-Over StudiesHumansSample SizeAnalysisCluster crossover trialsCluster randomized trialsStepped-wedge trials

Identifiers

PMID38477477
PMCPMC7616648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.