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[Case-non case studies: Principles, methods, bias and interpretation].

Jean-Luc Faillie1

  • 1Département de pharmacologie médicale et toxicologie, centre régional de pharmacovigilance, CHU de Montpellier, 371, avenue du doyen Gaston-Giraud, 34295 Montpellier, France; EA2415, laboratoire de biostatistiques, épidémiologie et santé publique, faculté de médecine, institut universitaire de recherche clinique, université de Montpellier, 34295 Montpellier, France.

Therapie
|November 28, 2017
PubMed
Summary

Case-non case studies analyze pharmacovigilance data to assess drug safety by comparing adverse reaction notifications. This method identifies potential drug safety signals using the reporting odds ratio (ROR).

Keywords:
Analyse de disproportionnalitéBiaisBiasCase–non case studyDisproportionality analysisPharmaco-épidémiologiePharmacoepidemiologyPharmacovigilanceReporting odds ratioÉtude cas–non cas

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Area of Science:

  • Pharmacovigilance and Drug Safety Research
  • Biostatistics in Clinical Research
  • Regulatory Science and Drug Approval

Background:

  • Case-non case studies are widely used in pharmacovigilance for drug safety assessment.
  • This methodology has seen increased application since its inception in the 1980s.
  • It relies on analyzing disproportionality in adverse drug reaction (ADR) notifications within large databases.

Purpose of the Study:

  • To elucidate the fundamental principles of the case-non case study design.
  • To detail the calculation and interpretation of the reporting odds ratio (ROR) and its confidence interval.
  • To discuss various analytical approaches and the interpretation of results, including the strengths and limitations of this safety assessment method.

Main Methods:

  • Comparing drug exposure in patients with a specific adverse reaction (cases) against those with other reported adverse reactions (non-cases).
  • Utilizing pharmacovigilance databases to gather notification data for analysis.
  • Calculating the reporting odds ratio (ROR) to quantify the association between a drug and an adverse event.

Main Results:

  • The reporting odds ratio (ROR) serves as a key metric for identifying potential drug safety signals.
  • Interpretation of ROR values, alongside confidence intervals, aids in evaluating the likelihood of a drug causing an adverse reaction.
  • The study outlines how to interpret these results within the context of the case-non case methodology.

Conclusions:

  • Case-non case studies provide a valuable framework for signal detection in pharmacovigilance.
  • Understanding the ROR calculation and interpretation is crucial for effective drug safety monitoring.
  • This design offers advantages in identifying potential ADRs but requires careful consideration of its inherent limitations.