ArticleSystematic reviews2025
Protocol: a systematic review+ (SR+) to combine associative and mechanistic evidence on the efficacy of face masks in reducing transmission of respiratory diseases.
Article in Systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Synthesis challenges in complex evidence: A critical analysis of systematic reviews of face mask efficacy.Research synthesis methods · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundMechanistic evidence is evidence about how an intervention works. A 2023 Cochrane review, which was restricted to randomised controlled trials (RCTs), concluded that evidence on the efficacy of face masks was weak, conflicting and non-definitive. A 2024 narrative review, which included RCTs plus mechanistic evidence on masks and mask mandates, concluded that evidence of efficacy was strong, consistent and definitive. These strikingly contrasting conclusions reflect differences in how evidence is valued. Orthodox synthesis methods (e.g. those used for Cochrane reviews, informed by GRADE criteria) classify mechanistic evidence as lower quality than RCT evidence, but this position has been challenged by (among others) philosophers, non-RCT researchers and advocacy groups. We seek to include mechanistic evidence in a systematic review of mask efficacy.
methodThree overlapping work packages (methodology, review, philosophical analysis) will run concurrently. We will extend and refine the philosophical approach of Evidential Pluralism, which has been applied in a technique known as EBM+, to develop Systematic Review+ (SR+). SR+ will use Bayesian methods to support judgements of whether and to what extent interventions are effective. We will apply SR+ to face mask (and mask mandate) efficacy studies purposively selected for their epistemic contribution (the most robust and influential studies in each evidential category). We will consider whether SR+ adequately addresses philosophical objections to orthodox systematic review, including epistemological (does it adequately incorporate mechanistic evidence into reviews of efficacy?) and ethical (does it adequately address epistemic injustice, in which someone is wronged in their capacity as knower?). DISCUSSION: We hope to produce a robust synthesis of evidence on face masks that will inform policy and a general methodology for incorporating mechanistic evidence into systematic reviews. We also hope to contribute to the scholarly literature on the philosophy of causality. Causal claims generally require at least two kinds of evidence: associative (to show that a change in one phenomenon is associated with a change in another) and mechanistic (to be confident that observed associations are causal). We hypothesise that orthodox systematic review, enhanced with mechanistic evidence, will be able to support stronger and more nuanced causal claims. SYSTEMATIC REVIEW REGISTRATION: INPLASY202550024, INPLASY202540045.
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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 Socratic graph.