Evidence map›Paper›PMID 27789807›Full record

Trial reportThe Journal of international medical research2017

Herd protection effect of N95 respirators in healthcare workers.

Xin Chen, Abrar Ahmad Chughtai, Chandini Raina MacIntyre

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of international medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.3field-weighted citation impact, top 33% of its field
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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

3 authors at 2 institutions in 2 countries.

Xin Chen1 School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, Australia.
Abrar Ahmad Chughtai1 School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, Australia.
Chandini Raina MacIntyre1 School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, Australia.
UNSW Sydney · AUArizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To determine if there was herd protection conferred to unprotected healthcare workers (HCWs) by N95 respirators worn by colleagues. Methods Data were analysed from a prospective cluster randomized clinical trial conducted in Beijing, China between 1 December 2008 and 15 January 2009. A minimum compliance level (MCL) of N95 respirators for prevention of clinical respiratory illness (CRI) was set based on various compliance cut-offs. The CRI rates were compared between compliant (≥MCL) and non-compliant (<MCL) N95 wearers by ward, and between non-compliant wearers and control subjects who did not wear masks. Results Data were analysed from 949 HCWs who wore N95 respirators and 125 HCWs who did not wear masks. At 50% MCL there were no significant differences in the CRI rates between compliant and non-compliant N95 wearers by ward. In multivariate analysis, the CRI rate in non-compliant HCWs was significantly lower compared with controls (relative risk 0.26; 95% confidence interval 0.08, 0.82). Conclusion This study suggests herd protection from use of N95 respirators by colleagues within a hospital ward.

Indexed as

Health PersonnelImmunityVentilators, MechanicalHumansRespiratory Tract InfectionsRisk Factorshealthcare workersHerd protectionN95 respirator

Identifiers

PMID27789807
PMCPMC5805185
OpenAlexW2543719602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.