Evidence map›Paper›PMID 41601771›Full record

SynthesisFrontiers in medicine2025

Epidemiology and burden of alopecia areata in Taiwan: a systematic review.

Chao-Chun Yang, Sheng-Hsiang Ma, Pei Jung Yen, Hung-Wei Lin, Kuei-An Chen, Chih-Chiang Chen

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Chao-Chun YangDepartment of Dermatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Sheng-Hsiang MaDepartment of Dermatology, Taipei Veterans General Hospital, Taipei, Taiwan.
Pei Jung YenPfizer Ltd, Taipei, Taiwan.
Hung-Wei LinReal World Solutions, IQVIA Solutions Taiwan, Taipei, Taiwan.
Kuei-An ChenReal World Solutions, IQVIA Solutions Taiwan, Taipei, Taiwan.
Chih-Chiang ChenDepartment of Dermatology, Taipei Veterans General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Alopecia areata (AA) is a common autoimmune disorder characterized by nonscarring hair loss on the scalp and/or body, affecting individuals of all genders, ages, and races. AA can occur alongside various autoimmune, atopic, and psychiatric conditions, affecting patients' quality of life. Although AA is a relatively common condition, recent epidemiological data regarding this condition in Taiwan are lacking. Methods: This systematic literature review aimed to assess the epidemiology, risk factors, and comorbidities associated with AA in Taiwan by analyzing articles published from January 2010 to June 2024. Results: A total of 37 studies were included, with most using the National Health Insurance Research Database (NHIRD) as the data source. The annual incidence and prevalence of AA in Taiwan were estimated at 0.011 and 0.014-0.016%, respectively. The mean age of AA onset ranged from 32 to 41.2 years, with a slight male predominance. Identified risk factors included autoimmune diseases, psychiatric disorders, viral infections, and lifestyle habits, while associated comorbidities involved chronic inflammatory dermatoses, atopic diseases, autoimmune diseases and mental disorders. Discussion: The review also highlighted evidence gaps, such as the need for validated diagnostic criteria in NHIRD and more research on ocular and systemic comorbidities. Given the significant disease burden of AA, further studies are needed to improve understanding and inform patient care and treatment strategies.

Indexed as

alopecia areatacomorbiditiesepidemologyrisk factorsTaiwan

Identifiers

PMID41601771
PMCPMC12833698

What OpenQuestion holds

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Registered trials

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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.