Evidence map›Paper›PMID 33838139›Full record

ArticleCanadian journal of ophthalmology. Journal canadien d'ophtalmologie2022

Effectiveness of a 3D-printed mask fitter in an Ophthalmology setting during COVID-19.

John Liu, Jingyi Ma, Iqbal Ik Ahmed, Devesh K Varma

Open access · bronzeAbstract read
In one paragraph

Article in Canadian journal of ophthalmology. Journal canadien d'ophtalmologie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

John LiuDepartment of Ophthalmology and Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, ON.
Jingyi MaDepartment of Ophthalmology and Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, ON.
Iqbal Ik AhmedDepartment of Ophthalmology and Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, ON.
Devesh K VarmaDepartment of Ophthalmology and Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, ON. Electronic address: devesh.varma@prismeye.ca.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effectiveness of a 3D-printed custom mask fitter in lieu of N95 respirators among ophthalmologists and other eye care professionals who may not be prioritized to receive N95 respirators amidst the coronavirus disease 2019 pandemic.

methodsThis was a proof-of-concept study from a tertiary eye care center in Oakville, Canada. All participants underwent the N95 Qualitative Fit Test with a custom mask fitter secured over an American Society for Testing and Materials Level 3 face mask. Participants answered a 10-point Likert scale questionnaire on comfort, ease of use, and feasibility of the custom mask fitter, as well as comfort of a regular face mask.

resultsTwenty participants were recruited. Of the 20 recruited, 18 (90%) successfully passed the fit test. The median scores for comfort, ease of use, and everyday feasibility for the custom mask fitter were 3.5, 4.5, and 3, respectively, whereas the median score for comfort of a regular face mask was 8.5.

conclusionA reusable, low-cost, 3D-printed custom mask fitter is a potential effective alternative to an N95 respirator among eye care professionals but may require improvement in its design and comfort. This is especially relevant in the context of a limited supply of N95 respirators amidst a global pandemic.

Indexed as

COVID-19OphthalmologyHumansN95 RespiratorsPrinting, Three-DimensionalSARS-CoV-2United States

Identifiers

PMID33838139
PMCPMC7972674
OpenAlexW3139076686

What OpenQuestion holds

Textmetadata
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.