Evidence map›Paper›PMID 34712521›Full record

ArticleCureus2021

Efficacy and Safety of Weekly Ultraviolet Germicidal Irradiation for the Reuse of N95 Filtering Respirators.

Keitaro Nakamoto, Takeshi Saraya, Narishige Ishikawa, Sunao Mikura, Yuki Yoshida, Naokatsu Fukukawa, Takako Taneoka, Teppei Shimasaki, Daisuke Kurai, Haruyuki Ishii

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 1 institution in 1 country.

Keitaro NakamotoRespiratory Medicine, Kyorin University School of Medicine, Mitaka, JPN.
Takeshi SarayaRespiratory Medicine, Kyorin University School of Medicine, Mitaka, JPN.
Narishige IshikawaRespiratory Medicine, Kyorin University School of Medicine, Mitaka, JPN.
Sunao MikuraRespiratory Medicine, Kyorin University School of Medicine, Mitaka, JPN.
Yuki YoshidaRespiratory Medicine, Kyorin University School of Medicine, Mitaka, JPN.
Naokatsu FukukawaDepartment of Infection Control, Kyorin University School of Medicine, Mitaka, JPN.
Takako TaneokaDepartment of Infection Control, Kyorin University School of Medicine, Mitaka, JPN.
Teppei ShimasakiInfectious Disease, Kyorin University School of Medicine, Mitaka, JPN.
Daisuke KuraiInfectious Disease, Kyorin University School of Medicine, Mitaka, JPN.
Haruyuki IshiiDepartment of Respiratory Medicine, Kyorin University School of Medicine, Mitaka, JPN.
Kyorin University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background During the ongoing coronavirus disease (COVID-19) pandemic, N95 filtering facepiece respirators (N95 respirators) are in short supply in many countries. Considering this, the Centers for Disease Control and Prevention suggested reusing N95 respirators and recommended the use of ultraviolet germicidal irradiation (UVGI) for sterilizing the respirators. However, only a few reports have described UVGI protocols for sterilizing the N95 respirators for reuse. Therefore, in this study, we aimed to develop and evaluate a novel method for the reuse of N95 respirators after sterilization by UVGI. Methods Before conducting the study, the function of N95 respirators after multiple UVGI with a total dose of up to 10 J (1 J/cm

Indexed as

covid-19fit testn95 filtering facepiece respiratorsreuseultraviolet germicidal irradiation

Identifiers

PMID34712521
PMCPMC8542253
OpenAlexW3204276428

What OpenQuestion holds

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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.