Evidence map›Paper›PMID 40207612›Full record

ArticleInternational journal of immunopathology and pharmacology

Pharmacovigilance study of immunomodulatory drug-related adverse events using spontaneous reporting system databases.

Satoshi Nakao, Mika Maezawa, Moe Yamashita, Koumi Miyasaka, Sakiko Hirofuji, Nanaka Ichihara, Yuka Nokura, Kana Sugishita, Tomofumi Yamazaki, Hirofumi Tamaki and 6 more

Abstract read
In one paragraph

Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Satoshi NakaoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.ORCID 0000-0001-7413-2637
Mika MaezawaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Moe YamashitaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Koumi MiyasakaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Sakiko HirofujiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Nanaka IchiharaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Yuka NokuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Kana SugishitaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Tomofumi YamazakiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Hirofumi TamakiLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Kimitaka SuetsuguDepartment of Pharmacy, Kyushu University Hospital, Fukuoka, Japan.
Masafumi HashimotoDepartment of Pharmacy, Kyushu University Hospital, Fukuoka, Japan.
Toshikazu TsujiDepartment of Clinical Pharmacy, Setsunan University, Osaka, Japan.
Kazuhiro IguchiLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Ichiro IeiriDepartment of Pharmacy, Kyushu University Hospital, Fukuoka, Japan.
Mitsuhiro NakamuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.ORCID 0000-0002-5062-5522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the country-specific reporting status profile of immunomodulatory drugs (IMiDs)-related adverse events (ImrAEs) in real-world clinical practice, using data from the Japanese Adverse Drug Event Report (JADER) and Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) databases. Immunomodulatory drugs, including thalidomide and its derivatives, are a new class of anticancer and anti-inflammatory drugs. IMiD risk management programs have instituted sufficient measures to prevent fetal effects but do not address adverse effects experienced by patients themselves. To date, no study has compared ImrAE profiles across countries. Adverse events were defined using the preferred terms in the Medical Dictionary for Regulatory Activities. The number of reported adverse events related to IMiDs in each country (the United States and Japan) was investigated. In both Japan and the United States, myelosuppression, pneumonia, and neuropathy peripheral have been reported as adverse events suspected to be associated with IMiDs. Adverse event profiles differed between the countries. The number of adverse event reports for thalidomide increased transiently in the United States in 2008 following the multiple myeloma indication, and then exhibited a downward trend. The number of adverse event reports for lenalidomide and pomalidomide has increased in the United States since their launch. The number of transient reports increased in Japan in 2015, when pomalidomide was launched. In this study, the profile of ImrAEs was revealed using the FAERS and JADER databases. Our comparative safety study indicated the importance of comparing the safety profiles of IMiDs using post-marketing real-world data. It is important to focus on the adverse events experienced by patients taking IMiDs, as well as the effects of IMiDs on fetuses.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsImmunologic FactorsImmunomodulating AgentsPharmacovigilanceDatabases, FactualFemaleHumansJapanLenalidomideThalidomideUnited StatesUnited States Food and Drug AdministrationImmunologic FactorsImmunomodulating AgentsLenalidomideThalidomideFDA adverse event reporting system databaseimmunomodulatory drugJapanese adverse drug event report databaselenalidomidepomalidomidethalidomide

Identifiers

PMID40207612
PMCPMC12032464

What OpenQuestion holds

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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.