Evidence map›Paper›PMID 37965552›Full record

ArticleFrontiers in microbiology2023

Effects of wearing masks during COVID-19 pandemic on the composition and diversity of skin bacteria and fungi in medical workers.

Jingxi Zhang, Peiyun Jiang, Yaxin Zhang, Wenlou Liu, Shujing Kong, Xiaoyang Hou, Zuoyao Qi, Yujin Sun, Guan Jiang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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
–field-weighted citation impact
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.

  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

9 authors.

Jingxi ZhangDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Peiyun JiangDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Yaxin ZhangXuzhou Medical University, Xuzhou, China.
Wenlou LiuDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shujing KongDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xiaoyang HouDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zuoyao QiDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Yujin SunDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Guan JiangDepartment of Dermatology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although studies have shown that wearing masks can affect the skin microbiome, more detailed and comprehensive research on wearing masks needs to be further explored. Objective: This study aimed to characterize the influence of mask wearing on the diversity and structural characteristics of the facial skin microbial community of medical staff during the COVID-19 pandemic by means of metagenomic sequencing (mNGS). Methods: A total of 40 samples were taken by swabbing the cheek in the 2 × 2 cm Results: A statistically significant decrease was found in the α diversity between BN and AN groups and between B2 h and A2 h groups. BN and AN mean groups before and after 8 h of wearing the medical protective mask (N95), including 10 volunteers, respectively. B2 h and A2 h mean groups before and after 8 h of wearing masks, including 10 volunteers changing mask every 2 h, respectively. The β diversity was found to be statistically reduced between BS and AS groups ( Conclusion: Wearing different types of masks and changing masks according to different frequency will have different effects on the facial skin's microbiota.

Indexed as

COVID-19 pandemicmasksmetagenomic sequencingmicrobial diversityskin

Identifiers

PMID37965552
PMCPMC10640980

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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.