Evidence map›Paper›PMID 38978490›Full record

ReviewJournal of Korean medical science2024

A Causality Assessment Framework for COVID-19 Vaccines and Adverse Events at the COVID-19 Vaccine Safety Research Center.

Seyoung Kim, Jeong Ah Kim, Hyesook Park, Sohee Park, Sanghoon Oh, Seung Eun Jung, Hyoung-Shik Shin, Jong Koo Lee, Hee Chul Han, Jun Hee Woo and 3 more

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

13 authors.

Seyoung Kim *COVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-3030-1683
Jeong Ah Kim *COVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0001-5429-759X
Hyesook ParkCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0002-9359-6522
Sohee ParkCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0001-8513-5163
Sanghoon OhCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0002-7394-5211
Seung Eun JungCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-0674-5444
Hyoung-Shik ShinCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0001-6504-3413
Jong Koo LeeCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-4833-1178
Hee Chul HanCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-0374-8690
Jun Hee WooCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-4512-5352
Byung-Joo ParkCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-4630-4942
Nam-Kyong ChoiCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0003-1153-9928
Dong-Hyun KimCOVID-19 Vaccine Safety Research Center, Seoul, Korea.ORCID 0000-0002-1492-5253

Funding

KDCA
6 · The paper itself

Abstract

During the coronavirus disease 2019 (COVID-19) pandemic, conclusively evaluating possible associations between COVID-19 vaccines and potential adverse events was of critical importance. The National Academy of Medicine of Korea established the COVID-19 Vaccine Safety Research Center (CoVaSC) with support from the Korea Disease Control and Prevention Agency to investigate the scientific relationship between COVID-19 vaccines and suspected adverse events. Although determining whether the COVID-19 vaccine was responsible for any suspected adverse event necessitated a systematic approach, traditional causal inference theories, such as Hill's criteria, encountered certain limitations and criticisms. To facilitate a systematic and evidence-based evaluation, the United States Institute of Medicine, at the request of the Centers for Disease Control and Prevention, offered a detailed causality assessment framework in 2012, which was updated in the recent report by the National Academies of Sciences, Engineering, and Medicine (NASEM) in 2024. This framework, based on a weight-of-evidence approach, allows the independent evaluation of both epidemiological and mechanistic evidence, culminating in a comprehensive conclusion about causality. Epidemiological evidence derived from population studies is categorized into four levels-high, moderate, limited, or insufficient-while mechanistic evidence, primarily from biological and clinical studies in animals and individuals, is classified as strong, intermediate, weak, or lacking. The committee then synthesizes these two types of evidence to draw a conclusion about the causal relationship, which can be described as "convincingly supports" ("evidence established" in the 2024 NASEM report), "favors acceptance," "favors rejection," or "inadequate to accept or reject." The CoVaSC has established an independent committee to conduct causality assessments using the weight-of-evidence framework, specifically for evaluating the causality of adverse events associated with COVID-19 vaccines. The aim of this study is to provide an overview of the weight-of-evidence framework and to detail the considerations involved in its practical application in the CoVaSC.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2CausalityHumansRepublic of KoreaUnited StatesCOVID-19 VaccinesAdverse EventsCausalityCOVID-19 VaccinesCOVID-19 Vaccine Safety Research CenterNational Academy of Medicine of Korea

Identifiers

PMID38978490
PMCPMC11231440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.