Evidence map›Paper›PMID 36313225›Full record

ArticleInternational journal of medical sciences2022

Possibility of Multiple Drug-Drug Interactions in Patients Treated with Statins: Analysis of Data from the Japanese Adverse Drug Event Report (JADER) Database and Verification by Animal Experiments.

Akio Negishi, Shinji Oshima, Mizue Mutoh, Norimitsu Horii, Naoko Inoue, Sachihiko Numajiri, Shigeru Ohshima, Daisuke Kobayashi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 1 country.

Akio NegishiLaboratory of Analytical Pharmaceutics and Informatics, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Shinji OshimaLaboratory of Analytical Pharmaceutics and Informatics, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Mizue MutohLaboratory of Pharmacy Management, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Norimitsu HoriiLaboratory of Pharmacy Management, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Naoko InoueLaboratory of Pharmacy Management, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Sachihiko NumajiriStudent Learning Assistance Center, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Shigeru OhshimaLaboratory of Pharmacy Management, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Daisuke KobayashiLaboratory of Analytical Pharmaceutics and Informatics, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan.
Josai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug events due to drug-drug interactions can be prevented by avoiding concomitant use of causative drugs; therefore, it is important to understand drug combinations that cause drug-drug interactions. Although many attempts to identify drug-drug interactions from real-world databases such as spontaneous reporting systems have been performed, little is known about drug-drug interactions caused by three or more drugs in polypharmacy, i.e., multiple drug-drug interactions. Therefore, we attempted to detect multiple drug-drug interactions using decision tree analysis using the Japanese Adverse Drug Event Report (JADER) database, a Japanese spontaneous reporting system. First, we used decision tree analysis to detect drug combinations that increase the risk of rhabdomyolysis in cases registered in the JADER database that used six statins. Next, the risk of three or more drug combinations that significantly increased the risk of rhabdomyolysis was validated with

Indexed as

Animal ExperimentationDrug-Related Side Effects and Adverse ReactionsHydroxymethylglutaryl-CoA Reductase InhibitorsRhabdomyolysisAdverse Drug Reaction Reporting SystemsAllopurinolAnimalsDatabases, FactualDrug InteractionsJapanRatsValsartanAllopurinolHydroxymethylglutaryl-CoA Reductase InhibitorsValsartandecision tree analysismultiple drug-drug interactionpolypharmacyrhabdomyolysisspontaneous reporting systemstatin

Identifiers

PMID36313225
PMCPMC9608045
OpenAlexW4307972930

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.