Evidence map›Paper›PMID 40013610›Full record

ArticleJournal of cosmetic dermatology2025

Global Burden of Alopecia Areata and Associated Diseases: A Trend Analysis From 1990 to 2021.

Jia Zhou, Luling Liang, Hanlin Zhang, Mingjuan Liu, Zhou Zhu, Ling Leng, Jun Li

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Jia ZhouDepartment of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.ORCID https://orcid.org/0000-0002-5567-9968
Luling LiangDepartment of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.
Hanlin ZhangDepartment of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.ORCID https://orcid.org/0000-0001-5065-4086
Mingjuan LiuDepartment of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.
Zhou ZhuDepartment of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.
Ling LengStem Cell and Regenerative Medicine Lab, State Key Laboratory of Complex Severe and Rare Diseases, Institute of Clinical Medicine, Translational Medicine Center, Peking Union Medical College Hospital, Beijing, China.
Jun LiDepartment of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlopecia areata (AA) is a chronic autoimmune disorder characterized by non-scarring hair loss, affecting approximately 2% of the global population. Its etiology involves genetic, immunological, and environmental factors, with significant psychological impacts such as anxiety and depression. However, international trends and comorbidity associations remain poorly understood.

aimsThis study aims to analyze global trends in the incidence and prevalence of AA and assess its associations with major comorbidities across different demographic and regional groups. PATIENTS/

methodsUsing data from the Global Burden of Disease Study (GBD) 2021, AA incidence, prevalence, and years lived with disability (YLDs) from 1990 to 2021 were analyzed by age, sex, geographic region, and socioeconomic indices (SDI and HDI). Temporal trends were evaluated with Pearson's correlation and Joinpoint regression, and comorbidities were assessed against 22 conditions.

resultsFrom 1990 to 2021, global AA incidence increased in absolute terms, though age-standardized incidence rates (ASIR) slightly declined. Incidence was highest in North America, Southeast Asia, and Australia, with females and individuals aged 30-34 most affected. Significant associations were found with atopic dermatitis, iron deficiency, and depressive disorders, with regional variations in comorbidity patterns.

conclusionsThis study highlights rising AA cases with stable ASIRs, reflecting improved awareness and reporting. Findings underscore the complex interplay of socioeconomic factors, healthcare access, and AA burden. Further research should investigate mechanisms underlying comorbidities and guide targeted interventions to mitigate the physical and psychological impacts of AA.

Indexed as

Alopecia AreataAdolescentAdultAgedChildChild, PreschoolComorbidityDermatitis, AtopicFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedPattern Analysis, Machinealopecia areatacomorbidityglobal burden of diseasehair lossincidencepsychological impact

Identifiers

PMID40013610
PMCPMC11866473

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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.