OBJECTIVE: Despite effectiveness of sodium-glucose cotransporter 2 (SGLT 2) inhibitors, concerns have been raised about the potential side effects of these drugs. Thus, a pharmaco-vigilance study was designed that aims to identify any discrepancies between the reported adverse events & assess the safety profile of SGLT2 inhibitors.
METHODS: We studied diabetic ketoacidosis (DKA), euglycemic DKA, amputation, urinary tract infection (UTI), mycotic genital infection & hypotension associated with empagliflozin, dapagliflozin, canagliflozin & ertugliflozin in RCTs and reporting databases. WHO\'s VigiBase, FAERS, EMA\'s EudraVigilance & DAEN were thoroughly studied to obtain spontaneously reported real-world adverse events.
RESULTS: Different SGLT2 inhibitors exhibit varied side effect profiles. Additionally, the findings suggest that adverse events may be more likely to occur in a broader population in the real world than in a highly inclusive clinical trial subset CONCLUSION: Our study provides comparison of the real world reported adverse events to adverse events reported in the clinical trials studying the efficacy of SGLT 2 inhibitors.

Sudden sensorineural hearing loss (SSNHL), a rare audiological condition that accounts for 1% of all cases of sensorineural hearing loss, can cause permanent hearing damage. Soon after the launch of global COVID-19 vaccination campaigns, the World Health Organization released a signal detection about SSNHL cases following administration of various COVID-19 vaccines. Post-marketing studies have been conducted in different countries using either pharmacovigilance or medico-administrative databases to investigate SSNHL as a potential adverse effect of COVID-19 vaccines. Here, we examine the advantages and limitations of each type of post-marketing study available. While pharmacoepidemiological studies highlight the potential association between drug exposure and the event, pharmacovigilance approaches enable causality assessment. The latter objective can only be achieved if an expert evaluation is provided using internationally validated diagnostic criteria. For a rare adverse event such as SSNHL, case information and quantification of hearing loss are mandatory for assessing seriousness, severity, delay onset, differential diagnoses, corrective treatment, recovery, as well as functional sequelae. Appropriate methodology should be adopted depending on whether the target objective is to assess a global or individual risk.

UNASSIGNED: Recently, case reports of priapism associated with the use of some anti-seizure medications began to emerge in the literature. We aimed to investigate if there is a potential safety signal of priapism among individual anti-seizure medications and to search the literature for relevant published cases.
UNASSIGNED: We conducted a disproportionality analysis using OpenVigil 2.1 to query the United States Food and Drug Administration\'s Adverse Event Reporting System (FAERS) database. Literature search was conducted in PubMed/MEDLINE, Scopus and Web of Science up to 12 July 2023.
UNASSIGNED: We identified positive signal of priapism for valproic acid and its derivatives (n = 23, chi-squared = 59.943, PRR = 4.566), gabapentin (n = 20, chi-squared = 9.790, PRR = 2.060), lamotrigine (n = 16, chi-squared = 8.318, PRR = 2.120), levetiracetam (n = 16, chi-squared = 10.766, PRR = 2.329), topiramate (n = 14, chi-squared = 28.067, PRR = 3.972) and carbamazepine (n = 8, chi-squared = 6.147, PRR = 2.568), as well as published cases of priapism associated with these drugs. We also found published cases of priapism for pregabalin and phenytoin in the literature and FAERS, and at least one reported adverse event of priapism in FAERS for clonazepam, lacosamide, ethosuximide, oxcarbazepine, and vigabatrin in which they were considered primary suspect.
UNASSIGNED: Our study identified signals for priapism for several anti-seizure medications, but these results need to be confirmed in well-designed pharmacoepidemiological studies.

UNASSIGNED: The existing evidence from pre- and post-marketing studies is conflicting on the risk of pancreatic events for anti-diabetic medications.
UNASSIGNED: A retrospective case/non-case study was conducted by using spontaneous reports on pancreatic events for anti-diabetic medications from the FDA Adverse Event Reporting System (FAERS) and VigiBase. Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), and Information Component (IC) were calculated by a disproportionality analysis. Furthermore, PubMed, Google Scholar, Scopus, and ClinicalTrials.gov were systematically searched for randomized controlled trials (RCTs) on anti-diabetic drugs with pancreatic outcomes.
UNASSIGNED: The FAERS data analysis found strong signals on incretin mimetics causing pancreatic events, with sitagliptin having the highest risk [PRR = 24.2, lower bound (LB) ROR = 24.4, IC025 = 4.4 for pancreatitis, and PRR = 15.4, LB ROR = 14.9, IC025 = 3.8 for pancreatic carcinoma]. Empagliflozin was the most pancreatitis-risk sodium-glucose co-transporter-2 inhibitor [PRR = 4.0, LB ROR = 3.5, IC025 = 1.8]. VigiBase reiterated these findings and identified some new signals for novel anti-diabetics. Meta-analysis revealed that the incidence of pancreatitis and pancreatic carcinoma with anti-diabetic medications was insignificant. However, compared to the placebo/active comparator, gliptins had a higher risk of acute pancreatitis (OR 1.44; 95% CI 1.03, 2.01; P = 0.03).
UNASSIGNED: Evidence from the post-marketing safety data analysis identified a strong association between incretin mimetics and pancreatic events. Fewer events in RCTs may justify insignificant meta-analysis results.
We conducted this research to identify the risk of pancreatitis and pancreatic carcinoma among anti-diabetic medications from pre-and post-marketing evidence available from clinical trials data and pharmacovigilance databases (FAERS, VigiBase). A disproportionality analysis of pharmacovigilance data was done to statistically check whether the selected drug-event pairs were frequently reported from the database (known as a ‘signal’). We performed further signal refinement analysis using OpenVigil 2.1 on the generated signals to check whether the signal sustains even after removing co-prescribed medications possessing the same risk. Also, conducted a systematic review of randomized controlled trials for evidence generation regarding the pancreatic safety of the medications. The findings from real-world data indicated that, among all anti-diabetics, incretin mimetics and sulfonylurea compounds produced signals for both pancreatitis and pancreatic carcinoma. Notable pancreatitis risk was also identified for newer anti-diabetics like SGLT-2 inhibitors. The findings from the meta-analysis of clinical trials indicated a 44% risk of DPP-4 inhibitors in causing acute pancreatitis and a 60% risk of GLP-1 agonists in elevating the lipase level, compared to placebo/active comparator. Thus, the study raises concerns over the risk of pancreatitis and pancreatic carcinoma among the users of anti-diabetic medications, especially incretin mimetics.

OBJECTIVE: The purpose of this study was to systematically review the statistical methods used in pharmacovigilance studies without a priori hypotheses.
METHODS: A systematic review was performed on studies published in the MEDLINE database between 2012 and 2021. The included studies were analyzed for database name and type, statistical methods, anatomical therapeutic chemical class for the studied drug(s), and SOC MedDRA classification for the studied adverse drug reaction.
RESULTS: Ninety-two studies were included, with pharmacovigilance databases being the most used type. Disproportionality analysis using frequentist or Bayesian methods was the most common statistical method employed. The most studied drug classes were anti-infectives, nervous system drugs, and antineoplastics and immunomodulators. However, no common procedure was implemented to correct for multiple testing.
CONCLUSIONS: This review highlights the limited number of statistical methods employed for pharmacovigilance studies without a priori hypotheses, with no established consensus-based method and a lack of interest in multiple testing correction. The establishment of guidelines is recommended to improve the performance of such studies.

BACKGROUND: In recent times, pancreatitis has been one of the most frequently reported adverse events for sodium-glucose cotransporter-2 (SGLT2) inhibitors.
OBJECTIVE: To evaluate the potential association between SGLT2 inhibitors and the risk of pancreatitis by analyzing the spontaneous reports through disproportionality analysis and reviewing case reports.
METHODS: A retrospective case/non-case study was conducted using spontaneous reports from the FDA Adverse Event Reporting System (FAERS), VigiBase, and the Canadian Adverse Reaction Database (CARD). Disproportionality analysis was performed by calculating the Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), and the Information Component (IC). In parallel, a review of case reports was conducted on SGLT2 inhibitors-induced pancreatitis.
RESULTS: A total of 524, 510, and 40 spontaneous reports of pancreatitis suspected to be caused by SGLT2 inhibitors were identified from FAERS, VigiBase, and CARD, respectively. Through the disproportionality analysis of FAERS data, a signal was identified between the SGLT2 inhibitors and pancreatitis, with empagliflozin having highest risk [PRR = 3.9; Lower Bound (LB) ROR = 3.4; IC025 = 1.7], followed by canagliflozin [PRR = 3.6; LB ROR = 3.2; IC025 = 1.6], and dapagliflozin [PRR = 3.2; LB ROR = 2.7; IC025 = 1.4]. VigiBase and CARD data analyses reiterated the findings of FAERS. Thirteen case reports identified from a systematic literature search strengthened these findings and highlighted the importance of physical examination and laboratory parameters for the early diagnosis of pancreatitis.
CONCLUSIONS: The current study found a potential risk of pancreatitis with the use of SGLT2 inhibitors. There is an urgent need to thoroughly investigate the same and take the necessary action to avoid or minimize the risk.

Antipsychotic drugs are commonly prescribed, mainly for the treatment of schizophrenia and other psychotic disorders. Disproportionality analysis of pharmacovigilance data from national and international databases have been recently utilized to investigate the side-effect profiles of antipsychotics and have provided unique insights of their safety. Among several national and international spontaneous reporting databases the databases of the World Health Organization (VigiBase), of the European Medicines Agency (EudraVigilance) and the US Food and Drug Administration (FAERS) incorporate millions of Individual Case Safety Reports. The aim of our study was to systematically review published disproportionality analyses on antipsychotic drugs, in order to summarize the current state of methodology and potential strengths of this analysis while highlighting safety signal generated for these pharmacological group. PubMed was searched using a search algorithm combining terms for antipsychotic drugs and disproportionality analysis. A total of 39 articles were found to be eligible corresponding to 38 original disproportionality studies. Different measures of disproportionality were used in each study: reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical Bayes geometric mean (EBGM) and the information component (IC). Despite the inherent limitations of the pharmacovigilance databases disproportionality analysis provides complemented evidence from RCTs on the safety of antipsychotics, especially regarding participants often excluded from RCTs, such as pregnant and breastfeeding women, children and participants with drug abuse, comorbidities or concomitant medications.

BACKGROUND: To date, there is limited literature regarding the association between dipeptidyl peptidase-4 (DPP-4) inhibitors and pancreatic carcinoma.
OBJECTIVE: To describe the comparative incidence of DPP-4 inhibitors and pancreatic carcinoma as reportedly available in the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database. The goal was to provide health care practitioners a general understanding of the drug-disease occurrence.
METHODS: This is a case/noncase study utilizing Empirica Signal software to query FAERS from November 1968 to December 31, 2013. The software was used to calculate a disproportionality statistic--namely, the empirical Bayesian geometric mean (EBGM)--for reports of DPP-4 inhibitors-associated pancreatic carcinoma. The FDA considers an EBGM significant if the fifth percentile of the distribution is at least 2, defined as an EB05 ≥ 2. With use of a disproportionality analysis, DPP-4 inhibitors were compared with all agents listed in FAERS.
RESULTS: A total of 156 patients experienced pancreatic carcinoma while receiving DPP-4 inhibitor therapy. An EB05 of 10.3 was determined for sitagliptin, 7.1 for saxagliptin, 4.9 for linagliptin, and 1.4 for alogliptin, compared with all other agents included in FAERS. Although an EB05 > 2 was achieved in 2 other antihyperglycemic agents, the findings were not consistent within their medication classes.
CONCLUSIONS: There appears to be a statistical association between DPP-4 inhibitor use and pancreatic carcinoma. Causality cannot be inferred from the data provided. Additional clinical studies are needed to further explore this statistical association.

OBJECTIVE: To review quantitatively and qualitatively the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (AERS) database to provide clinicians with a general understanding of the comparative occurrence of clinically meaningful adverse events associated with 15 antimicrobial new molecular entities approved by the FDA since 2006: anidulafungin, darunavir, maraviroc, raltegravir, doripenem, telavancin, ceftaroline, boceprevir, telaprevir, fidaxomicin, bedaquiline, dolutegravir, simeprevir, sofosbuvir, and dalbavancin.
METHODS: Retrospective analysis.
METHODS: FDA AERS database.
RESULTS: Empirica Signal software was used to query the AERS database from November 1968 to December 2012. Using disproportionality analyses, we calculated a relative reporting ratio (RRR) estimate for reports of antimicrobial adverse events. The RRR estimate compares the occurrence of a specific adverse event with an index drug of interest to the occurrence of the same adverse event with similar agents or with all other FDA-approved prescription drugs. Common industry practice considers an RRR meaningful if the 5th percentile of the distribution is at least 2 (RRR05 of 2.0 or higher). Antimicrobials were compared with agents within their respective antimicrobial therapeutic class as well as with all agents in the AERS database. Seventeen adverse signals with an RRR05 of 2.0 or higher were identified from the database for six agents. Ten of the 17 signals were not included in the most up-to-date manufacturers\' package inserts for four of the six agents: doripenem-associated hepatic dysfunction (RRR05 3.7) and hyperchloremia (RRR05 2.6); boceprevir-associated weight loss (RRR05 2.2); darunavir-associated premature labor (RRR05 3.1), sudden infant death syndrome (RRR05 2.9), ventricular hypertrophy (RRR05 2.7), acute coronary syndrome (RRR05 2.4), and congenital anomaly in offspring (RRR05 2.4); and raltegravir-associated congenital heart valve disorders (RRR05 2.5) and SIDS (RRR05 2.3).
CONCLUSIONS: Clinically meaningful adverse event signals appeared to be associated with antimicrobial new molecular entities approved since 2006 including many not yet identified in package inserts. Although a disproportionality analysis suggests a quantitative signal for these associations, causality cannot be inferred from the data. Due to several key limitations in this type of analysis, investigative studies are needed to further explore these adverse event signals and the potential mechanisms by which they occur.