Evidence map›Paper›PMID 27119382›Full record

ArticlePloS one2016

A Pharmacovigilance Approach for Post-Marketing in Japan Using the Japanese Adverse Drug Event Report (JADER) Database and Association Analysis.

Masakazu Fujiwara, Yohei Kawasaki, Hiroshi Yamada

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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23citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  6. New Function for Safety Signal Monitoring in MID-NETClinical and translational science · 2025
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Masakazu FujiwaraDepartment of Drug Evaluation & Informatics, Graduate school of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan.
Yohei KawasakiDepartment of Drug Evaluation & Informatics, Graduate school of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan.
Hiroshi YamadaDepartment of Drug Evaluation & Informatics, Graduate school of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid dissemination of information regarding adverse drug reactions is a key aspect for improving pharmacovigilance. There is a possibility that unknown adverse drug reactions will become apparent through post-marketing administration. Currently, although there have been studies evaluating the relationships between a drug and adverse drug reactions using the JADER database which collects reported spontaneous adverse drug reactions, an efficient approach to assess the association between adverse drug reactions of drugs with the same indications as well as the influence of demographics (e.g. gender) has not been proposed. METHODS AND

findingsWe utilized the REAC and DEMO tables from the May 2015 version of JADER for patients taking antidepressant drugs (SSRI, SNRI, and NaSSA). We evaluated the associations using association analyses with an apriori algorithm. Support, confidence, lift, and conviction were used as indicators for associations. The highest score in adverse drug reactions for SSRI was obtained for "aspartate aminotransferase increased", "alanine aminotransferase increased", with values of 0.0059, 0.93, 135.5, and 13.9 for support, confidence, lift and conviction, respectively. For SNRI, "international normalized ratio increased", "drug interaction" were observed with 0.0064, 1.00, 71.9, and NA. For NaSSA, "anxiety", "irritability" were observed with 0.0058, 0.80, 49.9, and 4.9. For female taking SSRI, the highest support scores were observed in "twenties", "suicide attempt", whereas "thirties", "neuroleptic malignant syndrome" were observed for male. Second, for SNRI, "eighties", "inappropriate antidiuretic hormone secretion" were observed for female, whereas "interstitial lung disease" and "hepatitis fulminant" were for male. Finally, for NaSSA, "suicidal ideation" was for female, and "rhabdomyolysis" was for male.

conclusionsDifferent combinations of adverse drug reactions were noted between the antidepressants. In addition, the reported adverse drug reactions differed by gender. This approach using a large database for examining the associations can improve safety monitoring during the post-marketing phase.

Indexed as

PharmacovigilanceAdultAdverse Drug Reaction Reporting SystemsAlanine TransaminaseAntidepressive AgentsAspartate AminotransferasesBiomarkersDatabases, FactualDepressionFemaleHumansInternational Normalized RatioJapanMaleMarketingNeuroleptic Malignant SyndromeAlanine TransaminaseAntidepressive AgentsAspartate AminotransferasesBiomarkers

Identifiers

PMID27119382
PMCPMC4847915

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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.