Evidence map›Paper›PMID 42211716›Full record

ArticleFrontiers in public health2026

Understanding vitiligo-related concerns through online discourse: an AI-assisted cross-platform study of Chinese and global communities.

Hongjie Luo, Xinjin Liu, Yukun Wang, Xian Jiang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

4 authors.

Hongjie LuoDepartment of Dermatology and Venerology, West China Hospital, Sichuan University, Chengdu, China.
Xinjin LiuDepartment of Dermatology and Venerology, West China Hospital, Sichuan University, Chengdu, China.
Yukun WangDepartment of Dermatology and Venerology, West China Hospital, Sichuan University, Chengdu, China.
Xian JiangDepartment of Dermatology and Venerology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine major vitiligo-related concerns expressed in Chinese and international social media discourse, and to compare differences in high-frequency questions across two online platforms. Methods: This study analyzed publicly available vitiligo-related posts from Baidu and Reddit published between October 2021 and October 2025. After stratified random sampling by publication year and quality screening, 2,305 posts were included (Baidu: Results: A total of 6,375 keywords were extracted and normalized into 2,419 unique terms. Intervention and treatment were the most frequent thematic category (36.3%), followed by diagnosis and detection (20.9%), psychological impact and progression (10.0%), and hereditary and pediatric factors (7.7%). Across platforms, treatment-related concerns were the dominant shared topic. Compared with Reddit, Baidu showed higher proportions of posts related to healthcare provider or hospital selection, treatment prognosis and recurrence, psychological stress, treatment considerations for special populations, vaccination or preventive measures, and disease transmissibility. In contrast, Reddit showed higher proportions of posts related to medication side effects, treatment accessibility, dosage and treatment duration, and interpretation of diagnostic tests. In addition to treatment and diagnosis, online discussions also highlighted psychosocial distress, stigma, family-related concerns, and relationship anxiety. Conclusion: Vitiligo-related social media discussions on Baidu and Reddit were dominated by treatment-related concerns but differed substantially in the distribution of high-frequency questions across platforms. These findings suggest that social media may provide a useful supplementary window into unmet informational, emotional, and practical needs related to vitiligo, and may help inform more responsive patient education, digital health communication, and patient-centered care strategies.

Indexed as

Artificial IntelligenceSocial MediaVitiligoChinaDigital MediaHumansartificial intelligencepublic healthself-reported concernssocial mediavitiligo

Identifiers

PMID42211716
PMCPMC13212291

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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.