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COVID-19, new-onset alopecia, and gender distribution: a systematic review and meta-analysis
Iranian Journal of Dermatology ; 25(3):230-239, 2022.
Article in English | EMBASE | ID: covidwho-2204994
ABSTRACT

Background:

Among many coronavirus disease 2019 (COVID-19) integumentary system involvements, alopecia is one of the least investigated. This disorder has been reported in many individuals who have suffered from varying severities of COVID-19. We aimed to systematically review studies evaluating the onset of different types of alopecia following COVID-19. Method(s) The PubMed, Scopus, Web of Science, and Embase databases were searched with a specified string of relevant keywords. After quality assessments, the data of eligible studies were qualitatively and quantitatively synthesized. Result(s) Sixteen studies were included in our review, six of which underwent meta-analysis for the differences in the risk of alopecia between males and females. Though the disorder was not differentiated in all the cases, we found that COVID-19 was associated with several different types of alopecia, including telogen effluvium, alopecia areata, alopecia parvimaculata, and lichen planopilaris. Moreover, although statistically insignificant, the odds of developing alopecia favored the female population. Conclusion(s) Although many hypotheses have been suggested as to why an individual might be more predisposed to developing alopecia following COVID-19, the data obtained from the studies yielded results that could not lead to definite conclusions. Therefore, we recommend that further studies be conducted to evaluate the association between the two phenomena more confidently. Copyright © 2022, Iranian Society of Dermatology. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Iranian Journal of Dermatology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Iranian Journal of Dermatology Year: 2022 Document Type: Article