Evidence map›Paper›PMID 34176568›Full record

ArticleJournal of the American Dental Association (1939)2021

Enhancement of peripheral seal of medical face masks using a 3-dimensional-printed custom frame.

Abu Ahmed, Zhe Zhong, Montry Suprono, Roberto Savignano, Holli Riter, Udochukwu Oyoyo, Alisa Wilson, Rebecca Reece, Jessica Kim, Eun-Hwi Cho and 4 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the American Dental Association (1939), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Abu Ahmed
Zhe Zhong
Montry Suprono
Roberto Savignano
Holli Riter
Udochukwu Oyoyo
Alisa Wilson
Rebecca Reece
Jessica Kim
Eun-Hwi Cho
Robert Handysides
Paul Richardson
Joseph Caruso
Yiming Li
National Institute of Occupational Safety and Health · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, American Society for Testing and Materials level 3 and level 2 medical face masks (MFMs) have been used for most health care workers and even for the first responders owing to a shortage of N95 respirators. However, the MFMs lack effective peripheral seal, leading to concerns about their adequacy to block aerosol exposure for proper protection. The purpose of this study was to evaluate the peripheral seal of level 3 and level 2 MFMs with a 3-dimensional (3D-) printed custom frame.

methodsLevel 3 and level 2 MFMs were tested on 10 participants with and without a 3D-printed custom frame; the efficiency of mask peripheral seal was determined by means of quantitative fit testing using a PortaCount Fit Tester based on ambient aerosol condensation nuclei counter protocol.

resultsThe 3D-printed custom frame significantly improved the peripheral seal of both level 3 and level 2 MFMs compared with the masks alone (P < .001). In addition, both level 3 and level 2 MFMs with the 3D-printed custom frame met the quantitative fit testing standard specified for N95 respirators. PRACTICAL IMPLICATIONS: The 3D-printed custom frame over level 3 and level 2 MFMs can offer enhanced peripheral reduction of aerosols when using collapsible masks. With the shortage of N95 respirators, using the 3D-printed custom frame over a level 3 or level 2 MFM is considered a practical alternative to dental professionals.

Indexed as

COVID-19Occupational ExposureHumansMasksPandemicsSARS-CoV-2United StatesASTMfit factorlevel 2level 3MFMperipheral seal

Identifiers

PMID34176568
PMCPMC8486490
OpenAlexW3174040323

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.