Evidence map›Paper›PMID 42819512›Full record

ArticleCureus2026

Serious and Non-serious Hepatitis Reports in the U.S. Vaccine Adverse Event Reporting System, 1990-2026: A Cross-Sectional Analysis.

Paula Aragón Gutierrez, Deepti Botlaguduru, Asritha Chowdary Medarametla, Sai Pratyusha Killy

Abstract read
In one paragraph

Article in Cureus, 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

4 authors.

Paula Aragón GutierrezDr. William C. Gorgas Faculty of Health Sciences, Universidad Latina de Panamá, Panama City, PAN.
Deepti BotlaguduruDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Asritha Chowdary MedarametlaInternal Medicine, Kamineni Academy of Medical Sciences and Research Centre, Hyderabad, IND.
Sai Pratyusha KillyObstetrics and Gynaecology, Southend University Hospital, Essex, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Post-marketing surveillance monitors reports of adverse events following vaccination, including reports of hepatitis. The Vaccine Adverse Event Reporting System (VAERS) is a passive surveillance system that can describe reporting patterns but cannot establish incidence, risk, or causality. This study aimed to characterize hepatitis reports received by VAERS based upon demographic characteristics, vaccine types, onset intervals, reported outcomes, seriousness classification, and temporal patterns in reporting. Methodology Data for this study were collected via a retrospective, cross-sectional analysis utilizing the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research VAERS database. Reports of "Hepatitis" as the Medical Dictionary for Regulatory Activities (MedDRA) Preferred Term (code 10019717) were extracted from data that had been processed through April 24, 2026. Data for 2026 were partial because the database had been processed only through April 24, 2026. For reports where the reporting year could be determined, the time frame was 1990 to 2026. Data were categorized into frequency distributions and percentages for categorical variables. Pearson's chi-square tests were conducted to compare serious vs. non-serious reports by age group, sex reported, and onset interval. Cramér's V was calculated to quantify the magnitude of the differences between the groups. Due to the lack of mutual exclusivity among the categories for vaccine types and therefore the inability to treat them as independent data points, summary statistics describing the results for vaccine type were generated. Results A total of 529 hepatitis reports were retrieved. Of these 529 reports, 200 (37.81%) were designated as serious reports, while 329 (62.19%) were designated as non-serious reports. Individuals between the ages of 18 and 49 years comprised the greatest number of reports (n = 216; 40.83%). The female sex was identified in 261 (49.34%) reports. In 178 (33.65%) reports, the onset interval was unknown. Among those reports that documented an onset interval, one to three days was the most frequently documented onset interval (n = 70; 13.23% of all reports). Hepatitis B vaccines (n = 267; 50.47%) and COVID-19 vaccines (n = 134; 25.33%) were the two vaccine types most frequently documented. The seriousness classification was significantly different among the various age categories (χ²(5) = 21.61, p = 0.0006; Cramér's V = 0.224). Neither sex (χ²(1) = 3.84, p = 0.0502; Cramér's V = 0.089) nor onset interval (χ²(7) = 8.88, p = 0.2614; Cramér's V = 0.159) were significantly related to seriousness classification. Vaccine-type findings were limited to descriptive comparisons because the categories were not mutually exclusive. Conclusions Reports of hepatitis that have been sent to the VAERS demonstrate differing classifications of seriousness based upon the age group. The vaccine-type findings were presented as descriptive summaries, as each report may contain multiple vaccines. Results presented here represent only patterns found in reports received by the VAERS; they do not provide an estimate of vaccine-specific risk, incidence, or causation. Further investigation into these findings will require additional research using denominator-based and clinically validated data.

Indexed as

covid-19 vaccineshepatitishepatitis b vaccinepassive surveillancepharmacovigilancepost-marketing surveillanceserious adverse eventsvaccine adverse eventsvaers

Identifiers

PMID42819512
PMCPMC13626031

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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.