Evidence map›Paper›PMID 40750956›Full record

ArticleTherapeutic innovation & regulatory science2025

Characterizing Gene Therapy Medicinal Products Post-Marketing Safety Reports Based on WHO Pharmacovigilance Database, VigiBase.

Min-Jung Lim, Eunah Paek, Ju-Young Shin

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Article in Therapeutic innovation & regulatory science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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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

3 authors.

Min-Jung Lim *Department of Biohealth Regulatory Science, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea.
Eunah Paek *Department of Pharmaceutical Industry, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea.
Ju-Young ShinDepartment of Biohealth Regulatory Science, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea. shin.jy@skku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSafety assessments of gene therapy medicinal products (GTMPs) require comprehensive data collection from a variety of sources to ensure thorough evaluation. This study aimed to analyze the characteristics of adverse event (AE) reports for GTMPs, dividing them into Solicited Reports (SRs) and Unsolicited Reports (USRs), and to provide insights for developing effective pharmacovigilance strategies customized for GTMPs.

methodsIndividual case safety reports (ICSRs) collected from GTMPs were retrieved using VigiBase. We identified GTMPs approved by the United States Food and Drug Administration (US FDA) and/or European Medicines Agency (EMA) by December 31, 2022, and maintained their approval status as of July 28, 2023. Descriptive statistics were used to summarize the ICSRs’ characteristics. The reported AEs were classified into System Organ Classes (SOCs) and Preferred Terms (PTs).

resultsA total of 12,180 ICSRs for 13 GTMPs were retrieved from VigiBase. Of these, 27.6% were SR and 72.4% USR. As the number of ICSRs increased, the proportion of USR tended to increase. Compared to the SR, consumer reports were much less common in the USR. The majority of the reported events were serious in both groups. In the drug-AE pairs, cytokine release syndrome and pyrexia were the most commonly reported in both the SR and USR. Meanwhile the most frequently reported SOCs were “Investigations” in SR and “Nervous system disorders” in USR, respectively.

conclusionsOur study highlights the need for robust pharmacovigilance measures customized for GTMPs. The continued refinement of pharmacovigilance strategies customized for GTMPs is essential to ensure their safe and effective use.

Indexed as

Adverse Drug Reaction Reporting SystemsGenetic TherapyPharmacovigilanceProduct Surveillance, PostmarketingDatabases, FactualGene Therapy AgentsHumansUnited StatesUnited States Food and Drug AdministrationWorld Health OrganizationAdverse eventsGene therapy medicinal productsPharmacovigilanceSolicited reportsUnsolicited reports

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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.