Influence of differential source patterns in the detection of signals of disproportionate reporting for PARP inhibitors

Matched reporting patterns between drugs and events may predispose certain drugs to be disproportionally associated with adverse events. Therefore, SDR detected from matched drug-event source patterns in ICSR databases should be challenged during signal validation. Class SDR for drugs with differential source patterns (such as fatigue, asthenia, anaemia, thrombocytopenia, and neutropenia for all PARP inhibitors) usually involve correcting opposite drug-event source patterns.

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Publication Details

Journal
Frontiers in Drug Safety and Regulation
Published
2024-12-06
DOI
https://doi.org/10.3389/fdsfr.2024.1497116
Citations
1
Primary Topic
PARP inhibition in cancer therapy
Type
article
Field-Weighted Citation Impact
0.28

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article

Influence of differential source patterns in the detection of signals of disproportionate reporting for PARP inhibitors

Jordi Mestres
1 citations
Frontiers in Drug Safety and Regulation
PARP inhibition in cancer therapy
0.28
article

Influence of differential source patterns in the detection of signals of disproportionate reporting for PARP inhibitors

Jordi Mestres
article en
1 citations

Abstract

Matched reporting patterns between drugs and events may predispose certain drugs to be disproportionally associated with adverse events. Therefore, SDR detected from matched drug-event source patterns in ICSR databases should be challenged during signal validation. Class SDR for drugs with differential source patterns (such as fatigue, asthenia, anaemia, thrombocytopenia, and neutropenia for all PARP inhibitors) usually involve correcting opposite drug-event source patterns.

Frontiers in Drug Safety and RegulationVol. 4
Universitat de Girona (ES), Chemo (Spain) (ES)
Ministerio de Ciencia, Innovación y Universidades
Good health and well-being
Openalex Percentile: Top 33%
PARP inhibition in cancer therapy
0.28
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