Evidence map›Paper›PMID 42024871›Full record

Observational studyJMIR public health and surveillance2026

Active Surveillance for COVID-19 Vaccine Safety Using Sequential Analysis in Korea: Population-Based Retrospective Observational Study.

Na-Young Jeong, Haerin Cho, Heehyun Won, Suvin Park, Joongyub Lee, Hyesook Park, Nam-Kyong Choi

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 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

7 authors.

Na-Young JeongHealth Science Convergence Research Institute, College of Science & Industry Convergence, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0003-2130-1286
Haerin ChoDepartment of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea, 82 2-3277-6585, 82 2-3277-2867.ORCID 0009-0001-7221-4265
Heehyun WonDepartment of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea, 82 2-3277-6585, 82 2-3277-2867.ORCID 0000-0001-9601-3786
Suvin ParkDepartment of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea, 82 2-3277-6585, 82 2-3277-2867.ORCID 0000-0003-4292-049X
Joongyub LeeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-2784-3772
Hyesook ParkDepartment of Preventive Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0002-9359-6522
Nam-Kyong ChoiDepartment of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea, 82 2-3277-6585, 82 2-3277-2867.ORCID 0000-0003-1153-9928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the advent of new vaccines, including the COVID-19 vaccines introduced during the recent pandemic, the need for near real-time active surveillance has increased to support timely regulatory decision-making. Objective: This study aimed to assess the feasibility of sequential monitoring for potential adverse events following immunization in Korea, focusing on COVID-19 vaccines. Methods: This population-based study used a linked database that combined the COVID-19 registry with national health insurance claims data. Participants included individuals older than 12 years who received either monovalent or bivalent COVID-19 vaccines in Korea between February 2021 and March 2023. Monthly retrospective sequential testing was performed for 3 prespecified outcomes (acute myocardial infarction, myocarditis, and anaphylaxis) as well as a negative control event (colonic diverticulitis). A Poisson-based maximized sequential probability ratio test was applied to compare postvaccination incidence rates with historical background rates, accounting for multiple testing and claims processing delays. Analyses were stratified by age group, vaccine platform, and dose. Results: This study included over 43 million monovalent and 6.3 million bivalent vaccine recipients. Sequential analyses identified statistical signals for myocarditis following mRNA vaccines in individuals aged 12 to 64 years and protein subunit vaccines in those aged 40 to 64 years. Signals for anaphylaxis were observed following mRNA and nonreplicating viral vector vaccines in individuals older than 18 years. No safety signals were identified for acute myocardial infarction or colonic diverticulitis. Sequential monitoring detected signals for myocarditis and anaphylaxis before regulatory authorities took safety actions, with the earliest signals observed on September 30, 2021, and April 30, 2021, respectively. Conclusions: Near real-time sequential testing detected statistical safety signals for myocarditis and anaphylaxis following COVID-19 vaccination. These signals were recognized by the regulatory authority as being associated with the vaccines, demonstrating the potential of this approach to detect signals requiring further causality assessments, particularly for newly introduced vaccines at an early stage.

Indexed as

COVID-19COVID-19 VaccinesProduct Surveillance, PostmarketingAdolescentAdultAnaphylaxisChildFemaleHumansMaleMiddle AgedMyocarditisRepublic of KoreaRetrospective StudiesYoung AdultCOVID-19 Vaccinesactive surveillanceCOVID-19 vaccinenear real-time monitoringsafetyvaccines

Identifiers

PMID42024871
PMCPMC13105434

What OpenQuestion holds

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LicenceCC BY
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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.