Evidence map›Paper›PMID 32307810›Full record

ArticleDermatologic therapy2020

Coronavirus-days ın dermatology.

Ümit Türsen, Belma Türsen, Torello Lotti

Abstract read
In one paragraph

Article in Dermatologic therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Pollution free UV-C radiation to mitigate COVID-19 transmission.Gondwana research : international geoscience journal · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. COVID-19 and human papillomavirus: Paradoxical immunity.Journal of cosmetic dermatology · 2021
    Article
  7. Literature Review of COVID-19, Pulmonary and Extrapulmonary Disease.The American journal of the medical sciences · 2021
    Review
  8. Article
  9. Article
  10. Ultraviolet and COVID-19 pandemic.Journal of cosmetic dermatology · 2020
    Review
  11. Article
  12. Aesthetic dermatology procedures in coronavirus days.Journal of cosmetic dermatology · 2020
    Review
  13. Are the cutaneous manifestations during or due to SARS-CoV-2 infection/COVID-19 frequent or not? Revision of possible pathophysiologic mechanisms.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2020
    Review
  14. Article
  15. Coronavirus-days ın dermatology.Dermatologic therapy · 2020
    Article
  16. Article
  17. 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.

Ümit TürsenDepartment of Dermatology, School of Medicine, Mersin University, Mersin, Turkey.ORCID https://orcid.org/0000-0002-5807-6759
Belma TürsenDepartment of Medical Sciences, Toros University, Mersin, Turkey.ORCID https://orcid.org/0000-0003-4735-0705
Torello LottiDepartment of Dermatology and Venereology, University of Rome G. Marconi, Rome, Italy.ORCID https://orcid.org/0000-0003-0840-1936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome-corona virus-2, which causes coronavirus disease 2019 (COVID-19), is highly contagious and a particularly popular problem in all around the World and also in all departments of every hospital. In order to protect the well-being of health care providers while providing a sufficient workforce to respond to the COVID-19 are vital for pandemic planning. In this article, we will discuss this problem from a dermatological aspect.

Indexed as

DermatologyBetacoronavirusCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralSARS-CoV-2Skin DiseasesCOVID-19dermatologyskin

Identifiers

PMID32307810
PMCPMC7235478

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.