Evidence map›Paper›PMID 41388066›Full record

ArticleScientific reports2025

Time-series analysis of vitiligo-related online search behavior in response to ambient air pollutants.

Shijie Zhu, Xixia Dai, Ling Jiang, Chuhan Fu, Jing Chen, Yuting Hu, Yidan Li, Keyi Zhang, Qinghai Zeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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
–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

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

9 authors.

Shijie Zhu *Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Xixia Dai *Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Ling JiangDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Chuhan FuDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Jing ChenDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Yuting HuDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Yidan LiDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Keyi ZhangDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China.
Qinghai ZengDepartment of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, Hunan, China. zengqinghai@csu.edu.cn.

Funding

Fundamental Research Funds for Central Universities of the Central South University 2025ZZTS0789Fundamental Research Funds for Central Universities of the Central South University 2025ZZTS0895Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University YX202007
6 · The paper itself

Abstract

Ambient air pollutants are hazardous materials posing significant risks to global public health. While their impacts on respiratory and cardiovascular systems are well-established, their role in triggering specific autoimmune skin diseases remains under-explored. This study investigates the temporally resolved public health response to air pollutant exposure, using the autoimmune condition vitiligo as a sensitive health endpoint. We aimed to evaluate the differential public health responses to six major air pollutants by analyzing their lagged effects on vitiligo-related online search behavior, using the Baidu Search Index (BSI) as a novel proxy for public concern and health-seeking activity. In this ecological time-series study, we applied a Distributed Lag Non-linear Model (DLNM) to daily data on BSI, air pollutants, and meteorological factors in Changsha, China (2019-2021). The findings reveal distinct, pollutant-specific temporal patterns of public response, suggesting different toxicological pathways. Exposure to industrial pollutants like sulfur dioxide (SO

Indexed as

Air PollutantsEnvironmental ExposureInternetVitiligoAir PollutionCarbon MonoxideChinaHumansPublic HealthSulfur DioxideAir PollutantsCarbon MonoxideSulfur Dioxide

Identifiers

PMID41388066
PMCPMC12800077

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.