Evidence map›Paper›PMID 36593055›Full record

ArticleIn vivo (Athens, Greece)

The Influence of the Rapid Increase in the Number of Adverse Event Reports for COVID-19 Vaccine on the Disproportionality Analysis Using JADER.

Kenta Yamaoka, Masaki Fujiwara, Mayako Uchida, Yoshihiro Uesawa, Tadashi Shimizu

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Kenta YamaokaDepartment of Pharmacy, Kobe City Medical Center General Hospital, Kobe, Japan.
Masaki FujiwaraDepartment of Pharmacy, Kobe City Medical Center General Hospital, Kobe, Japan.
Mayako UchidaDepartment of Education and Research Center for Pharmacy Practice, Faculty of Pharmaceutical Sciences, Doshisha Women's College of Liberal Arts, Kyotanabe, Japan.
Yoshihiro UesawaDepartment of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo, Japan.
Tadashi ShimizuSchool of Pharmacy, Hyogo Medical University, Kobe, Japan; shimizu-t@hyo-med.ac.jp.
Kobe City Medical Center General Hospital · JPDoshisha Women's College of Liberal Arts · JPHyogo University · JPMeiji Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe COVID-19 prophylactic vaccine for the prevention of coronavirus infection was approved in Japan on February 14, 2021. Adverse event reports for the vaccine were collected from the Japan Adverse Drug Event Relief (JADER) database, similar to those for drugs. Reported odds ratios (RORs) and proportional reporting ratios (PRRs) are commonly used in disproportionality analysis to detect safety signals. Therefore, adverse event reports from the vaccinated population may affect the detection of safety signals for the registered drugs. This study determined the impact of adverse event reports on the detection of safety signals for a COVID-19 prophylactic vaccine by analyzing the JADER database using disproportionality analysis. PATIENTS AND

methodsWe extracted data from the JADER dataset, in which the COVID-19 vaccine was reported as a suspected drug, and selected the top 10 adverse events in terms of the number of reports. We then extracted the top 30 drugs by the amount of information in the selected 10 adverse events and compared the changes in the number of signal detections with and without the COVID-19 vaccine report data.

resultsThe total number of adverse events reported in the JADER database during the study period was 2,002,564. Of the total number of reports, 85,489 (4.3%) reported adverse events related to the COVID-19 vaccine. Of the top 30 drugs reported in the 10 selected adverse events, the ROR and PRR were found to be lower with the inclusion of COVID-19 vaccine data than without. Detection by ROR excluded 23 out of 245 drugs, and detection by PRR excluded 34 out of 204 drugs.

conclusionThe rapid increase in the number of adverse event reports for the COVID-19 vaccine in JADER may affect the detection of safety signals by disproportionality analysis.

Indexed as

COVID-19COVID-19 VaccinesDrug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsHumansJapanCOVID-19 VaccinesCOVID-19 prophylactic vaccinedisproportionality AnalysisJapanese Adverse Drug Event Report databaseproportional reporting ratiosreported odds ratios

Identifiers

PMID36593055
PMCPMC9843810
OpenAlexW4313474628

What OpenQuestion holds

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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.