| Summary: | Delia Colombo,1 Emanuela Zagni,1 Mihaela Nica,1 Sara Rizzoli,2 Alessandra Ori,2 Gilberto Bellia1 1Patient Access, Novartis Farma S.p.A., Origgio, Varese, 2MediNeos Observational Research, Modena, Italy Background: MetaGeM is a wide gender-medicine project comprising post hoc and meta-analyses by gender of clinical outcomes, therapeutic approaches, and safety data from previously conducted observational studies to explore possible gender differences in real-life clinical settings. We report the results of the safety meta-analysis of seven MetaGeM studies, evaluating gender differences in adverse event (AE) incidence and severity. Methods: Data were collected between February 2002 and July 2013. Male and female patients were compared for the main safety variables, using Student’s t-test, χ² test, or Fisher’s exact test as appropriate. As supportive analysis, a logistic regression model was estimated to evaluate associations between gender and outcome. Results: In total, 4,870 patients (46% females, 54% males) were included in the analysis; age was higher for females (mean ± standard deviation 61.2±18.3 years) than males (56.3±16.6 years). Overall, 264 AEs were reported (59.1% in males). There were no significant gender differences in the percentage of patients with at least one AE: 3.0% for females versus 3.9% for males, χ² test P>0.05. According to the logistic regression model results, no association between gender and AEs occurrence seems to exist. A statistically significant gender difference in the percentage of drug-related AEs emerged (37.6% in females vs 20.8% in males, χ² P=0.0039). Slightly significantly more AEs in females were addressed with treatment compared with males (78.1% vs 66.7%, χ² P=0.0485). Total serious AEs (SAEs) were 47 (72% in males). The frequency of patients with ≥1 SAE was 0.6% in females versus 1.2% in males (χ² test P=0.0246). Conclusion: This safety analysis on a large sample of almost 5,000 patients with different diseases and treated with a wide range of different drugs provides a useful overview on possible gender differences in drug tolerability, which may be helpful in more accurately designing future clinical trials from a gender-specific perspective. Keywords: gender, drugs, safety, adverse events, meta-analysis
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