Evidence map›Paper›PMID 41929253›Full record

ArticleFrontiers in pharmacology2026

Post-marketing safety profile of meningococcal group B vaccines: a real-world disproportionality analysis of the VAERS database, 2015Q1-2025Q3.

Guojun Liang, Hao Huang, Jihui Huang, Qiong Liu, Yang Song

Abstract read
In one paragraph

Article in Frontiers in 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

5 authors.

Guojun LiangHuadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Hao HuangHuadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Jihui HuangHuadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Qiong LiuHuadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Yang SongHuadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Serogroup B meningococcal (MenB) disease remains a serious public health concern. Recombinant protein-based vaccines have been licensed since the mid-2010s, but ongoing surveillance is needed to capture rare or long-term adverse events. Methods: We analyzed reports submitted to the Vaccine Adverse Event Reporting System (VAERS) from 2015Q1 to 2025Q3,with data available through 30 September 2025. Cases explicitly identifying MenB vaccines were included. Events were coded with MedDRA, and disproportionality analyses were conducted using Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), and Empirical Bayes Geometric Mean (EBGM). Subgroup analyses assessed differences by age, sex, seriousness, and coadministration. Results: A total of 16,611 reports were identified, of which 19.9% were serious. Most events reflected expected reactogenicity such as fever, syncope, headache, and injection site reactions. Several unlabeled events, including pallor and hypotonia, showed elevated RORs. Time-to-onset analyses demonstrated clustering within 2 days of vaccination across all strata, with serious events occurring earlier than non-serious events. No novel syndromic clusters were observed. Conclusion: MenB vaccines show a favorable safety profile in real-world use. While most events align with established product information, a small number of disproportionate but unlabeled events merit continued pharmacovigilance.

Indexed as

meningococcal vaccinesNeisseria meningitidis serogroup Bpharmacovigilancevaccine safetyVAERS

Identifiers

PMID41929253
PMCPMC13038872

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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.