Signal Detection of Imipenem Compared to Other Drugs from Korea Adverse Event Reporting System Database.

Author: JinXue Mei, KimJungmee, KwonKyoung Eun, LeeJoongyub, ParkByung Joo, ParkKyounghoon, SoukavongMick, YangBo Ram

Paper Details 
Original Abstract of the Article :
PURPOSE: To detect signals of adverse drug events after imipenem treatment using the Korea Institute of Drug Safety & Risk Management-Korea adverse event reporting system database (KIDS-KD). MATERIALS AND METHODS: We performed data mining using KIDS-KD, which was constructed using spontaneously rep...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368142/

データ提供:米国国立医学図書館(NLM)

Imipenem's Unexpected Side Effects: A Tale of Signal Detection in the World of Drugs

In the vast and intricate landscape of drug safety, it is crucial to identify potential adverse effects. This study explores the use of a large database of spontaneous adverse event (AE) reports to detect signals – patterns that suggest a possible association between a drug and an AE. The authors focused on imipenem, a commonly used antibiotic, and analyzed data from the Korea Institute of Drug Safety & Risk Management-Korea adverse event reporting system database (KIDS-KD).

Uncovering New Signals: A Journey of Data Mining

Through sophisticated data mining techniques, the authors identified a number of new signals associated with imipenem treatment. These signals, including hypokalemia, cardiac arrest, cardiac failure, Parkinson's syndrome, myocardial infarction, and prostate enlargement, were not previously included in drug labels. This discovery underscores the importance of ongoing surveillance and data analysis in identifying potential drug-related risks.

Further Research Needed: Exploring the Desert of Causality

The study emphasizes the need for further pharmacoepidemiologic research to investigate the causality of these newly identified signals. While the data suggests a possible link, additional research is needed to confirm a definitive cause-and-effect relationship. The authors acknowledge the complexity of the task, akin to navigating a vast and uncertain desert in search of the truth.

Dr. Camel's Conclusion

Just as a camel carefully observes its surroundings in the desert, seeking out potential dangers, vigilant monitoring of drug safety is essential. This research highlights the importance of data analysis and the ongoing need to uncover potential drug-related risks. The journey to understanding the complex relationship between drugs and adverse events is similar to a camel's trek through the desert – a long and arduous path where new discoveries may emerge around every corner.

Date :
  1. Date Completed 2017-05-10
  2. Date Revised 2018-12-02
Further Info :

Pubmed ID

28332362

DOI: Digital Object Identifier

PMC5368142

Related Literature

SNS
PICO Info
in preparation
Languages

English

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