Evidence map›Paper›PMID 33972059›Full record

ArticleClinics in dermatology

Prevention and occupational hazards for the skin during COVID-19 pandemic.

Razvigor Darlenski, Jana Kazandjieva, Nikolai Tsankov

Open access · greenAbstract read
In one paragraph

Article in Clinics in dermatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. 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

3 authors at 3 institutions in 1 country.

Razvigor DarlenskiDepartment of Dermatology and Venereology, Acibadem City Clinic, Tokuda Hospital, Sofia, Bulgaria; Department of Dermatology and Venereology, Medical Faculty, Trakia University, Stara Zagora, Bulgaria. Electronic address: Darlenski@abv.bg.
Jana KazandjievaDepartment of Dermatology and Venereology, Medical University Sofia, Sofia, Bulgaria.
Nikolai TsankovDepartment of Dermatology and Venereology, Acibadem City Clinic, Tokuda Hospital, Sofia, Bulgaria.
Medical University of Sofia · BGTokuda Hospital · BGTrakia University · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The life of medical specialists worldwide has dramatically changed due to the spread of the coronavirus disease 2019 (COVID-19) pandemic. Health care professionals (HCPs) have personally faced the outbreak by being on the first line of the battlefield with the disease and, as such, compose a significant number of people who have contracted COVID-19. We propose a classification and discuss the pathophysiology, clinical findings, and treatments and prevention of the occupational skin hazards COVID-19 poses to HCPs. The multivariate pattern of occupational skin diseases during the COVID-19 pandemic can be classified into four subgroups: mechanical skin injury, moisture-associated skin damage, contact reactions, and exacerbation of preexisting dermatoses. The clinical pattern is versatile, and the most affected skin sites were the ones in contact with the protective equipment. Dermatologists should recognize the plethora of HCPs' occupational skin reactions that are occurring during the COVID-19 pandemic and implement treatment and preventive strategies.

Indexed as

Health PersonnelCOVID-19Disease ProgressionHumansOccupational DiseasesOccupational InjuriesPersonal Protective EquipmentSARS-CoV-2SkinSkin Diseases

Identifiers

PMID33972059
PMCPMC7833884
OpenAlexW3115308103

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.