Contribution of Causality Assessment for an Automated Detection of Safety Signals: An Example Using the French Pharmacovigilance Database

Identification of novel signal of Raynaud's phenomenon with Calcitonin Gene-Related Peptide(CGRP) antagonists using data mining algorithms and network pharmacological approaches

BACKGROUND

Calcitonin gene-related peptide (CGRP) antagonists are recently approved for the treatment of migraine.

AIM

The main aim of the current study was to find out the association of CGRP antagonists with RP using data mining algorithms integrated with network pharmacological approaches.

RESEARCH DESIGN AND METHODS

The individual case safety reports were extracted using OpenVigil2.1-MedDRA-V17 (2004Q1-2022Q3), the United States Adverse Event Reporting System (US FAERS). The data mining algorithms i.e. reporting odds ratio (ROR) with 95% confidence and proportionality reporting ratio (PRR) with associated chi-square value were calculated along with a minimum of three ICSRs to identify the signal. Further, the network was constructed using Cytoscape 3.7.2. Finally, molecular docking was performed using Glide, Schrodinger Inc.

RESULTS

The PRR ≥2 with a linked chi-square value ≥4, add up of co-occurrence ≥3, and a lower limit of 95% confidence interval of ROR exceeding 2 indicates a positive signal of RP. Further, the network pharmacological and molecular docking results have shown the involvement of insulin-like growth factor 1-receptor (IGF1R) pathways.

CONCLUSION

The RP is recognized as a novel signal with all CGRP antagonists.

Cannabinoid-Related Acute Pancreatitis: An Update from International Literature and Individual Case Safety Reports

INTRODUCTION

In addition to the growing interest of different cannabinoids for therapeutic purposes, the safety profile of these substances has changed, with the recent identification of new events such as acute pancreatitis.

OBJECTIVE

The aim of this study was to characterize cannabinoid-related acute pancreatitis, based on the recent literature and the analysis of pharmacovigilance data available worldwide.

METHODS

Nine national and international pharmacovigilance databases were requested for individual case safety reports of acute pancreatitis related to cannabinoid exposure. A systematic review was performed searching in PubMed^®, Web of Science^®, and Google Scholar^® for any publication dealing with acute pancreatitis and cannabinoid exposure (cannabis, cannabinoid, cannabidiol, tetrahydrocannabinol, nabilone, dronabinol), to identify case reports, observational studies, clinical trials, or reviews. All queries were updated on 1 January, 2021.

RESULTS

Twenty-two individual case safety reports were identified in the pharmacovigilance databases and 51 in the literature, corresponding to a predominantly young male population (74% of men, median age 28 interquartile range [21-39]) using recreational Cannabis sativa with high intensity. A therapeutic purpose was identified in 13 cases (including tetrahydrocannabinol, cannabidiol, and dronabinol). The outcome was often favorable after dechallenge (except three deaths), and frequent recurrences were observed in the case of rechallenge or sustained consumption. Eleven cross-sectional studies and one ecological study showed an increasing trend of cannabis use in in-patients with acute pancreatitis, with a significantly lower in-hospital mortality.

CONCLUSIONS

This review underlines that acute pancreatitis is a potential adverse effect of cannabinoid use. It remains often unrecognized and can occur during recreational or therapeutic use. The development of the therapeutic use of cannabinoids in frail patients deserves a better investigation of the benefit-risk ratio of these different products.

A meta-epidemiological study found lack of transparency and poor reporting of disproportionality analyses for signal detection in pharmacovigilance databases

OBJECTIVE

To review and appraise methods and reporting characteristics of pharmacovigilance disproportionality analyses.

STUDY DESIGN AND SETTING

We randomly selected 100 disproportionality analyses indexed in Medline found during a systematic literature search. We then extracted and synthetized methodological and reporting characteristics using 7 key items: 1) title transparency; 2) protocol pre-registration; 3) date of data extraction and analysis; 4) outcome, population, exposure and comparator definitions; 5) adjustment and stratification of results; 6) method and threshold for signal detection; 7) secondary and sensitivity analyses.

RESULTS

We found that methods used to generate disproportionality signals were extremely heterogeneous; there were nearly as many unique analyses as studies. The authors used various populations, methods, signal detection thresholds, adjustment or stratification variables, generally without justification for their choice or pre-specification in protocols. Moreover, 78% of studies failed to report methods for case, adverse drug reactions or comparator selection and 32 studies did not define the threshold for signal generation.

CONCLUSION

Our survey raises major concerns regarding all aspects of disproportionality analyses that could lead to misleading results and generate unjustified alarms. We advocate for a strong and transparent rationale for variable selection, choice of population and comparators pre-specified in a protocol and assessed by sensitivity analyses.