A Data-Driven Reference Standard for Adverse Drug Reaction (RS-ADR) Signal Assessment: Development and Validation.

Author: ChoeSeon, KimGrace Juyun, KimJong-Yeup, KimJu Han, KoInseok, LeeJeong Hoon, LeeSuehyun, ShinHyunah

Paper Details 
Original Abstract of the Article :
Pharmacovigilance using real-world data (RWD), such as multicenter electronic health records (EHRs), yields massively parallel adverse drug reaction (ADR) signals. However, proper validation of computationally detected ADR signals is not possible due to the lack of a reference standard for positive ...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585444/

データ提供:米国国立医学図書館(NLM)

A Data-Driven Reference Standard for Adverse Drug Reaction Signal Assessment

Pharmacovigilance, the science of monitoring and detecting adverse drug reactions (ADRs), is as complex as navigating a vast desert filled with hidden dangers. This study, like a skilled cartographer creating a map of this treacherous landscape, aims to develop a data-driven reference standard for ADR signal assessment. The researchers, like explorers searching for a safe path through the desert, use real-world data from electronic health records (EHRs) to identify potential ADR signals. The study emphasizes the importance of a reference standard to properly validate these signals, ensuring that potential ADRs are not overlooked, like hidden traps in the desert. This research is crucial for improving pharmacovigilance practices and safeguarding patient safety.

Improving Pharmacovigilance

This study provides a valuable step towards improving pharmacovigilance practices. The researchers, like skilled engineers building a sturdy bridge across a treacherous river, have developed a data-driven reference standard for validating ADR signals. This innovative approach is crucial for ensuring patient safety and mitigating the risks associated with adverse drug reactions.

Protecting Patients from Drug Risks

Adverse drug reactions can have serious consequences for patients. This study highlights the importance of robust pharmacovigilance systems to detect and mitigate these risks. By developing a data-driven reference standard for ADR signal assessment, researchers are paving the way for safer and more effective drug use, ensuring the well-being of patients.

Dr.Camel's Conclusion

This study offers a valuable contribution to the field of pharmacovigilance, providing a data-driven approach for validating ADR signals. The researchers, like vigilant desert guardians, have developed a robust system for protecting patients from the potential dangers of adverse drug reactions. Their work is essential for improving patient safety and ensuring the responsible use of medications.

Date :
  1. Date Completed 2022-10-10
  2. Date Revised 2022-11-06
Further Info :

Pubmed ID

36201386

DOI: Digital Object Identifier

PMC9585444

Related Literature

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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