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      Trichoscopy pattern in alopecia areata: A systematic review and meta‐analysis

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          Abstract

          Background

          The incidence of alopecia areata (AA) has increased over the last few decades. Trichoscopy is a noninvasive procedure performed in dermatology clinics and is a helpful tool in determining the correct diagnosis of hair loss presentations.

          Objective

          Through mapping the researches that have been done to represent the spectrum of trichoscopic findings in AA and to identify the most characteristic patterns.

          Methods

          Thirty‐nine studies were eligible for the quantitative analysis. Meta‐analysis and subgroup analysis were performed.

          Results

          Thirty‐nine studies (29 cross‐sectional, five retrospective, two descriptive, one case series, one observational, and one cohort) with a total of 3204 patients were included. About 66.7% of the studies were from Asia, 25.6% from Europe, and 7.7% from Africa. The most characteristic trichoscopic findings of AA were as follows; yellow dots, black dots, broken hairs, short vellus hairs, and tapering hairs.

          Conclusion

          There is no single pathognomonic diagnostic trichoscopic finding in AA rather than a constellation of characteristic findings. The five most characteristic trichoscopic findings in AA are: yellow dots, black dots, broken hairs, short vellus hairs, and tapering hairs. Yellow dots and short vellus hairs considered the most sensitive clues for AA, while black dots and tapering hairs are the most specific ones. Furthermore, trichoscopy is a useful tool that allows monitoring of response during the treatment of AA. Treatment responded cases will show an increase in short vellus hairs, but loss of tapering hairs, broken hairs, and black dots, while yellow dots are the least responsive to the treatment.

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          Most cited references89

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          RoB 2: a revised tool for assessing risk of bias in randomised trials

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            How to perform a meta-analysis with R: a practical tutorial

            Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over the last three decades with mental health as a major research topic. It is then essential to well understand its methodology and interpret its results. In this publication, we describe how to perform a meta-analysis with the freely available statistical software environment R, using a working example taken from the field of mental health. R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses. The working example considers a binary outcome: we show how to conduct a fixed effect and random effects meta-analysis and subgroup analysis, produce a forest and funnel plot and to test and adjust for funnel plot asymmetry. All these steps work similar for other outcome types. R represents a powerful and flexible tool to conduct meta-analyses. This publication gives a brief glimpse into the topic and provides directions to more advanced meta-analysis methods available in R.
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              Alopecia areata

              Alopecia areata is an autoimmune disorder characterized by transient, non-scarring hair loss and preservation of the hair follicle. Hair loss can take many forms ranging from loss in well-defined patches to diffuse or total hair loss, which can affect all hair-bearing sites. Patchy alopecia areata affecting the scalp is the most common type. Alopecia areata affects nearly 2% of the general population at some point during their lifetime. Skin biopsies of affected skin show a lymphocytic infiltrate in and around the bulb or the lower part of the hair follicle in the anagen (hair growth) phase. A breakdown of immune privilege of the hair follicle is thought to be an important driver of alopecia areata. Genetic studies in patients and mouse models have shown that alopecia areata is a complex, polygenic disease. Several genetic susceptibility loci were identified to be associated with signalling pathways that are important to hair follicle cycling and development. Alopecia areata is usually diagnosed based on clinical manifestations, but dermoscopy and histopathology can be helpful. Alopecia areata is difficult to manage medically, but recent advances in understanding the molecular mechanisms have revealed new treatments and the possibility of remission in the near future.
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                Author and article information

                Contributors
                ghthly@qu.edu.sa
                Journal
                Skin Res Technol
                Skin Res Technol
                10.1111/(ISSN)1600-0846
                SRT
                Skin Research and Technology
                John Wiley and Sons Inc. (Hoboken )
                0909-752X
                1600-0846
                01 June 2023
                June 2023
                : 29
                : 6 ( doiID: 10.1111/srt.v29.6 )
                : e13378
                Affiliations
                [ 1 ] Department of Dermatology College of Medicine, Shaqra University Dawadmi Saudi Arabia
                [ 2 ] Division of Dermatology Johns Hopkins Aramco Healthcare Dhahran Saudi Arabia
                [ 3 ] Division of Dermatology and Cutaneous Surgery College of Medicine, Qassim University Buraydah Saudi Arabia
                [ 4 ] Department of Clinical Biochemistry, Department of Basic Medical Sciences College of Medicine, Shaqra University Dawadmi Saudi Arabia
                [ 5 ] Molecular Genetics and Enzymology Department Human Genetics and Genome Research Institute, National Research Center Dokki Cairo Egypt
                Author notes
                [*] [* ] Correspondence

                Ghadah Alhetheli, Department of Dermatology and Cutaneous Surgery, College of Medicine, Qassim University, Buraydah, Saudi Arabia.

                Email: ghthly@ 123456qu.edu.sa

                Article
                SRT13378
                10.1111/srt.13378
                10236002
                37357664
                5dc35429-48a5-4283-a3e2-27336133317f
                © 2023 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 03 February 2023
                : 13 May 2023
                Page count
                Figures: 7, Tables: 6, Pages: 27, Words: 12852
                Funding
                Funded by: Ethical Research Committee of Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia
                Award ID: IFP2021‐058
                Categories
                Invited Review
                Invited Review
                Custom metadata
                2.0
                June 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.8 mode:remove_FC converted:02.06.2023

                alopecia areata,and tapering hairs,black dots,broken hairs,dermatoscopy,short vellus hairs,trichoscopic pattern,trichoscopy,videodermoscopy,vitamin d deficiency,yellow dots

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