Literature DB >> 27686554

The value of time-to-onset in statistical signal detection of adverse drug reactions: a comparison with disproportionality analysis in spontaneous reports from the Netherlands.

Joep H G Scholl1, Eugène P van Puijenbroek1,2.   

Abstract

PURPOSE: In pharmacovigilance, the commonly used disproportionality analysis (DPA) in statistical signal detection is known to have its limitations. The aim of this study was to investigate the value of the time to onset (TTO) of ADRs in addition to DPA.
METHODS: We performed a pilot study using individual case safety reports (ICSRs) for three drugs (Cervarix®, nitrofurantoin and simvastatin) from the Lareb spontaneous reporting database. TTO distributions for drug - ADR associations were compared to other ADRs for the same drug and to other drugs for the same ADR using two-sample Anderson-Darling testing. Statistically significant associations were considered true positive (TP) signals if the association was present in the official product information of the drug. Sensitivity and specificity for the TTO method were compared with the DPA method. As a measure of disproportionality, the reporting odds ratio (ROR) was used.
RESULTS: In general, sensitivity was lower, and specificity was higher for the TTO method compared to DPA. The TTO method showed similar sensitivity for all three drugs, whereas specificity was lower for Cervarix®. Eight additional TP signals were found using the TTO method compared to DPA.
CONCLUSIONS: Our study shows that statistical signal detection based on the TTO alone resulted in a limited number of additional signals compared to DPA. We therefore conclude that the TTO method is of limited value for full database statistical screening in our setting.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  ADR; latency; pharmacoepidemiology; pharmacovigilance; signal detection; time to onset

Mesh:

Substances:

Year:  2016        PMID: 27686554     DOI: 10.1002/pds.4115

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  5 in total

1.  Signal Detection Based on Time to Onset Algorithm in Spontaneous Reporting System of China.

Authors:  Tianyi Zhang; Xiaofei Ye; Xiaojing Guo; Guizhi Wu; Yongfang Hou; Jinfang Xu; Wentao Shi; Tiantian Zhu; Yuan Zhang; Xinji Zhang; Jiaqi Song; Jia He
Journal:  Drug Saf       Date:  2017-04       Impact factor: 5.606

2.  A prediction model-based algorithm for computer-assisted database screening of adverse drug reactions in the Netherlands.

Authors:  Joep H G Scholl; Florence P A M van Hunsel; Eelko Hak; Eugène P van Puijenbroek
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-12-21       Impact factor: 2.890

3.  Time to onset in statistical signal detection revisited: A follow-up study in long-term onset adverse drug reactions.

Authors:  Joep H G Scholl; Florence P A M van Hunsel; Eelko Hak; Eugène P van Puijenbroek
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-06-12       Impact factor: 2.890

4.  [Establishment of a rapid identification of adverse drug reaction program in R language implementation based on monitoring data].

Authors:  Dongsheng Hong; Jian Ni; Wenya Shan; Lu Li; Xi Hu; Hongyu Yang; Qingwei Zhao; Xingguo Zhang
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2020-05-25

Review 5.  Review of Statistical Methodologies for Detecting Drug-Drug Interactions Using Spontaneous Reporting Systems.

Authors:  Yoshihiro Noguchi; Tomoya Tachi; Hitomi Teramachi
Journal:  Front Pharmacol       Date:  2019-11-08       Impact factor: 5.810

  5 in total

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