Evidence map›Paper›PMID 42118156›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Pharmacovigilance signal detection of central nervous system demyelinating diseases following human papillomavirus vaccination: data mining and signal analysis based on the VAERS database.

Nan Yang, Xinliang Cui, Leimin Xi, Liming He, Yue Zhou, Haoyu Feng

Abstract read
In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 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
–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

6 authors.

Nan YangThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Xinliang CuiThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Leimin XiThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Liming HeThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Yue ZhouXinqiao Hospital ARMY Medical University, Chongqing, 400038, China. happyzhou@vip.163.com.
Haoyu FengThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China. fenghaoyu@sxbqeh.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HPV vaccine, as a key tool for the prevention of cervical cancer and related diseases, has shown a rising trend in its vaccination rate year after year. Along with the increase in its vaccination rate, the related adverse events have also received widespread attention. This study employs real-world data to identify potential reporting signals between HPV vaccination and central nervous system demyelinating diseases using rigorous data analysis. This study is based on the HPV vaccination data of the US Vaccine Adverse Event Reporting System (VAERS) up to January 1, 2025. Four pharmacovigilance methodologies were integratively applied with Bonferroni-adjusted significance testing to detect disproportional reporting signals potentially related to HPV immunization and central nervous system demyelinating diseases. Meanwhile, differences in different population characteristics were assessed by subgroup analysis. In addition, the pattern of change in the incidence of adverse events over time after vaccination was explored using time-to-evocation analysis and Weber distribution analysis. This investigation systematically analyzed 60,840 human papillomavirus (HPV) immunization-associated adverse event reports within the Vaccine Adverse Event Reporting System (VAERS) database, and it was found that non-infectious myelitis and encephalomyelitis showed significant disproportional reporting signals (including transverse myelitis, optic nerve myelitis, acute disseminated encephalomyelitis, and white matter encephalomyelitis). Negative signals were observed for the remaining diseases within the central nervous system demyelinating disease spectrum. Subgroup analysis revealed positive signals for adverse events in female populations and in those within the FDA-recommended vaccination age range. Furthermore, the results of the Weibull distribution analysis exhibited an early-onset pattern, where the incidence of these diseases decreased significantly over time following vaccination. A positive disproportionality reporting signal of non-infectious myelitis and encephalomyelitis following HPV vaccination was observed in the VAERS database. The findings reflect potential reporting differences across populations and time intervals after vaccination. These results highlight the importance of sustained pharmacovigilance and the need for further epidemiological investigations to clarify whether this reporting signal corresponds to a true clinical association.

Indexed as

Adverse Drug Reaction Reporting SystemsDemyelinating DiseasesPapillomavirus VaccinesPharmacovigilanceAdolescentAdultAgedChildChild, PreschoolDatabases, FactualData MiningFemaleHumansMaleMiddle AgedUnited StatesPapillomavirus VaccinesCentral nervous system demyelinating diseasesEncephalomyelitisHPV vaccineMyelitisVAERS

Identifiers

PMID42118156
PMCPMC13391733

What OpenQuestion 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 OpenQuestion graph.