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When More Is Less: An Exploratory Study of the Precautionary Reporting Bias and Its Impact on Safety Signal Detection.
- Source :
-
Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2018 Feb; Vol. 103 (2), pp. 296-303. Date of Electronic Publication: 2017 Oct 25. - Publication Year :
- 2018
-
Abstract
- Concerns have been expressed that large numbers of nonvalue-added reports have been accumulating in adverse drug reaction (ADR) databases, for example, via patient support programs. We performed an assessment of the impact of such reports, which we refer to as "precautionary reports," on safety signal detection in the Netherlands. The case narratives of ADR reports of three case products were screened with text-mining algorithms to identify those reports that lack a causal relationship with the suspected medicinal product. We demonstrate that precautionary reports impede the optimal use of the pharmacovigilance system by, on the one hand, masking safety signals and, on the other hand, creating spurious signals. The precautionary reporting bias and its suppressing effect on statistical signal detection results in an altered adverse event safety profile. The findings from this study highlight the need for a better alignment between regulatory authorities and marketing authorization holders regarding pharmacovigilance guidelines.<br /> (© 2017 American Society for Clinical Pharmacology and Therapeutics.)
- Subjects :
- Algorithms
Animals
Bias
Data Mining statistics & numerical data
Databases, Factual
Diphosphonates adverse effects
Drug-Related Side Effects and Adverse Reactions diagnosis
Endothelin Receptor Antagonists adverse effects
Erythropoietin adverse effects
Evidence-Based Medicine statistics & numerical data
Humans
Models, Animal
Models, Theoretical
Netherlands
Patient Safety
Reproducibility of Results
Risk Assessment
Translational Research, Biomedical statistics & numerical data
Adverse Drug Reaction Reporting Systems statistics & numerical data
Data Mining methods
Drug-Related Side Effects and Adverse Reactions epidemiology
Evidence-Based Medicine methods
Translational Research, Biomedical methods
Subjects
Details
- Language :
- English
- ISSN :
- 1532-6535
- Volume :
- 103
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Clinical pharmacology and therapeutics
- Publication Type :
- Academic Journal
- Accession number :
- 28913827
- Full Text :
- https://doi.org/10.1002/cpt.879