Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis

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 g...

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Main Authors: Colombo D, Zagni E, Nica M, Rizzoli S, Ori A, Bellia G
Format: Article
Language:English
Published: Dove Medical Press 2016-09-01
Series:Drug Design, Development and Therapy
Subjects:
Online Access:https://www.dovepress.com/gender-differences-in-the-adverse-eventsrsquo-profile-registered-in-se-peer-reviewed-article-DDDT
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spelling doaj-306500a8a8a44f38bdf2fd9beeaabac72020-11-25T00:58:08ZengDove Medical PressDrug Design, Development and Therapy1177-88812016-09-01Volume 102917292728896Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysisColombo DZagni ENica MRizzoli SOri ABellia GDelia 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-analysishttps://www.dovepress.com/gender-differences-in-the-adverse-eventsrsquo-profile-registered-in-se-peer-reviewed-article-DDDTGenderdrugssafetyadverse eventsmeta-analysis
collection DOAJ
language English
format Article
sources DOAJ
author Colombo D
Zagni E
Nica M
Rizzoli S
Ori A
Bellia G
spellingShingle Colombo D
Zagni E
Nica M
Rizzoli S
Ori A
Bellia G
Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis
Drug Design, Development and Therapy
Gender
drugs
safety
adverse events
meta-analysis
author_facet Colombo D
Zagni E
Nica M
Rizzoli S
Ori A
Bellia G
author_sort Colombo D
title Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis
title_short Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis
title_full Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis
title_fullStr Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis
title_full_unstemmed Gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (MetaGeM) project: the MetaGeM safety analysis
title_sort gender differences in the adverse events’ profile registered in seven observational studies of a wide gender-medicine (metagem) project: the metagem safety analysis
publisher Dove Medical Press
series Drug Design, Development and Therapy
issn 1177-8881
publishDate 2016-09-01
description 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
topic Gender
drugs
safety
adverse events
meta-analysis
url https://www.dovepress.com/gender-differences-in-the-adverse-eventsrsquo-profile-registered-in-se-peer-reviewed-article-DDDT
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