Evidence map›Paper›PMID 38528785›Full record

ArticleTurkish journal of pharmaceutical sciences2024

Analysis of Surgical Masks Adverse Effects on Facial Skin in Long Term Usage During COVID-19 Pandemic.

Abdullah Levent Alparslan, Kıvanç Yüksel, Khaetthareeya Sutthanut

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of pharmaceutical sciences, 2024. 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 97% 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, 0 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

3 authors at 1 institution in 2 countries.

Abdullah Levent Alparslanİstinye University, Faculty of Pharmacy, Department of Pharmaceutical Technology, İstanbul, Türkiye.ORCID 0000-0003-0113-6850
Kıvanç YükselEge University Center for Drug Research and Development and Pharmacokinetic Applications (ARGEFAR), İzmir, Türkiye.ORCID 0000-0003-3491-0099
Khaetthareeya SutthanutKhon Kaen University Faculty of Pharmaceutical Sciences, Department of Pharmaceutical Chemistry, Khon Kaen, Thailand.ORCID 0000-0002-2197-2381
Khon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: During the coronavirus disease-2019 pandemic, masks have become mandatory for protection against the virus transmitted by breathing. This study examined the impact of surgical masks used daily on civilian facial skin. Materials and Methods: Moisture, elasticity, pore, melanin, acne, wrinkle, and sensitivity parameters of 83 volunteers were measured numerically using an API-100 skin analyzer and camera recordings. Numerical values were compared following the device's algorithm calibrated according to age, gender, and race. Finally, the obtained data were statistically evaluated and compared with the averages. Results: Pore, melanin, acne, and wrinkle parameters were higher without gender discrimination, whereas moisture and elasticity parameters were low. While a significant increase was observed in women for sensitivity, the increase was not statistically significant in men. Conclusion: The negative effects of long-term daily wearing of surgical masks on facial skin were statistically significant. Therefore, taking outdoor breaks during mask use, washing the face intermittently, using moisturizing and purifying cosmetic products, and anti-wrinkle effects have been proposed to reduce the possible defects.

Indexed as

acneCOVID-19moistureSurgical maskwrinkle

Identifiers

PMID38528785
PMCPMC10982884
OpenAlexW4321615305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.