Evidence map›Paper›PMID 39791080›Full record

ReviewCureus2024

Reevaluating Mask Effectiveness: Insights From Evidence-Based Medicine and Clinical Trials.

Beny Spira

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Risks and benefits of face masks in children.Frontiers in pediatrics · 2026
    Review
  2. Review
  3. Review
  4. WHO'Frontiers in public health · 2025
    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

1 author.

Beny SpiraMicrobiology, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, BRA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, masks were widely promoted and mandated as a key measure to help reduce the transmission of SARS-CoV-2. These policies were primarily informed by laboratory evidence demonstrating the effectiveness of particle filtration, alongside observational studies. While several meta-analyses have indicated that masks may contribute to reducing viral transmission, many of these analyses rely heavily on observational data. There also appears to be a trend where the inclusion of more randomized controlled trials in a meta-analysis is associated with a lower estimate of mask effectiveness. It is important to recognize that success in laboratory settings does not always directly translate to the same outcomes in clinical trials or real-world conditions. This phenomenon is often seen in drug development, where therapies with promising mechanistic evidence may not always perform as expected in trials. In this regard, masks share similarities with other interventions that, while theoretically sound, require further testing in varied contexts to fully assess their real-world impact.

Indexed as

covid-19evidence-based medicinemasksobservational studiesrandomized clinical trials

Identifiers

PMID39791080
PMCPMC11715561

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.