Evidence map›Paper›PMID 42294091›Full record

ArticleGlobal epidemiology2026

Are arms-based methods required to test the stable unit treatment value assumption (SUTVA) among Cochrane reviews of contagious infection prevention interventions?

James C Hurley

Abstract read
In one paragraph

Article in Global epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

James C HurleyMelbourne Medical School, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herd (spillover) effects of infection prevention interventions are of increasing interest and are usually presumed beneficial. Their presence invalidates the Stable Unit Treatment Value Assumption (SUTVA) but testing for them is not simple. Moreover, in deriving causal inference from randomized concurrent controlled trials (RCCT) SUTVA, whilst difficult to verify, must still be considered. The effects of various interventions for preventing intensive care unit (ICU) acquired infections in high quality RCCTs were summarized in thirteen Cochrane reviews. Topical antibiotic prophylaxis or Selective digestive decontamination (TAP/SDD) appears the most effective intervention towards preventing pneumonia and mortality but what of SUTVA? Originally, TAP/SDD was presumed to mediate both direct and spillover (herd) effects with both presumed beneficial but four studies to estimate the TAP/SDD spillover effects were underpowered. TAP/SDD is mediated through decolonization which, unlike vaccination interventions, rebounds on TAP/SDD cessation. Are TAP/SDD spillover effects harmful? A trial to demonstrate that TAP/SDD herd effects are safe, being logistically complex and ethically fraught, would be infeasible. This commentary explores whether the 13 Cochrane reviews might present a natural experiment with which to evaluate the spillover (herd) effects of TAP/SDD to establish its population safety. Failure to consider SUTVA within Cochrane and similar systematic reviews of prevention interventions for contagious infections represents a major threat as any apparent summary effect size might have conflated spillover and direct effects. Summary effects derived from RCCTs with harmful spillover effects would cause profoundly misleading inferences.

Indexed as

Arms-based methodsChlorhexidineIntensive care unitmeta-analysisStable unit value assumption (SUTVA)Systematic reviewsTopical antibiotic prophylaxis

Identifiers

PMID42294091
PMCPMC13254971

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Registered trials

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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.