Evidence map›Paper›PMID 36056067›Full record

ArticleScientific reports2022

Potential risk of SARS-CoV-2 infection among people handling linens used by COVID-19 patients before and after washing.

Retsu Fujita, Hitomi Kurosu, Masataro Norizuki, Takayuki Ohishi, Aya Zamoto-Niikura, Masaaki Iwaki, Keiko Mochida, Hirotaka Takagi, Toshihiko Harada, Kenji Tsushima and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.2field-weighted citation impact, top 49% 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

14 authors at 3 institutions in 1 country.

Retsu FujitaGraduate School of Medicine, International University of Health and Welfare, 4-1-26, Akasaka, Minato-ku, Tokyo, 107-8402, Japan.
Hitomi KurosuAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Masataro NorizukiGraduate School of Medicine, International University of Health and Welfare, 4-1-26, Akasaka, Minato-ku, Tokyo, 107-8402, Japan.
Takayuki OhishiDepartment of Infection Control and Prevention, Saiseikai Yokohama City Eastern Hospital, 3-6-1 Shimosueyoshi, Tsurumiku, Yokohama, Kanagawa, 230-8765, Japan.
Aya Zamoto-NiikuraManagement Department of Biosafety , Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Masaaki IwakiManagement Department of Biosafety , Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Keiko MochidaManagement Department of Biosafety , Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Hirotaka TakagiManagement Department of Biosafety , Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Toshihiko HaradaManagement Department of Biosafety , Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Kenji TsushimaInternational University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-8520, Japan.
Tetsuya MatsumotoInternational University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-8520, Japan.
Ken-Ichi HanakiManagement Department of Biosafety , Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Motoyuki SugaiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan.
Takuya YamagishiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8640, Japan. tack-8@niid.go.jp.
National Institute of Infectious Diseases · JPInternational University of Health and Welfare · JPSaiseikai Yokohama Eastern Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of SARS-CoV-2 infection when people handle linens is uncertain. We examined the presence of SARS-CoV-2 on linens, in the air, and on personal protective equipment (PPE) to assess potential infection risk among individuals who handle linens used by SARS-CoV-2-infected people. Patients in a hospital and an accommodation facility who tested positive for SARS-CoV-2 participated in this study in 2020. Linen samples before washing or disinfection, rinse water after washing or disinfection, air in the workplace at the hospital and an accommodation facility, and the PPE worn by linen-handling people were tested for SARS-CoV-2 RNA and viable viruses. Among 700 samples from 13 SARS-CoV-2-infected participants and their surrounding environment, SARS-CoV-2 RNA was detected from 14% (52/362) of the linens used by COVID-19 patients (cycle threshold [Ct] value: 33-40). SARS-CoV-2 RNA was detected from 8% (2/26) of rinse water after washing or disinfection, from 15% (16/104) of air samples in the workspace, and from 10% (5/52) of gowns worn by linen-handling people, all with high Ct values (> 36). No SARS-CoV-2 was isolated from any samples. The potential risk of SARS-CoV-2 infection from handling linens used by SARS-CoV-2-infected people exists but appears to below.

Indexed as

COVID-19Bedding and LinensHumansRNA, ViralSARS-CoV-2WaterRNA, ViralWater

Identifiers

PMID36056067
PMCPMC9438874
OpenAlexW4294543344

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.