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Vera Battini

Explore the profile of Vera Battini including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 39
Citations 180
Followers 0
Related Specialties
Pharmacology
Neurology
Psychiatry
Top 10 Co-Authors
Carla Carnovale
Emilio Clementi
Giulia Mosini
Sonia Radice
Michele Gringeri
Marco Pozzi
Maurizio Sessa
Faizan Mazhar
Greta Guarnieri
Maria Antonietta Barbieri
Published In
Drug Saf
Front Pharmacol
Eur J Clin Pharmacol
Expert Rev Clin Pharmacol
Expert Opin Biol Ther
Affiliations
Soon will be listed here.
Recent Articles
1.
Network Analysis and Machine Learning for Signal Detection and Prioritization Using Electronic Healthcare Records and Administrative Databases: A Proof of Concept in Drug-Induced Acute Myocardial Infarction
Barbieri M, Abate A, Balogh O, Petervari M, Ferdinandy P, Agg B, et al.
Drug Saf . 2025 Feb; PMID: 39918677
Background: Safety signals for potential drug-induced adverse events (AEs) typically emerge from multiple data sources, primarily spontaneous reporting systems, despite known limitations. Increasingly, real-world data from sources such as electronic...
2.
NAT2 Slow Acetylator Phenotype as a Significant Risk Factor for Hepatotoxicity Caused by Antituberculosis Drugs: Results From a Multiethnic Nested Case-Control Study
Cheli S, Torre A, Schiuma M, Montrasio C, Civati A, Galimberti M, et al.
Clin Infect Dis . 2024 Dec; PMID: 39727196
Background: Under standard therapies, the incidence of drug-induced liver injury (DILI) in patients with tuberculosis ranges from 2% to 28%. Numerous studies have identified the risk factors for antituberculosis DILI;...
3.
Low-Dose Aspirin and Risk of Anaemia in Older Adults: Insights from a Danish Register-based Cohort Study
Barbieri M, Peker D, Askar M, Battini V, Abate A, Carnovale C, et al.
Eur Heart J Qual Care Clin Outcomes . 2024 Oct; PMID: 39394662
Aims: To assess the risk of anaemia among low-dose aspirin (LDA) exposure in Danish older individuals in a real-world setting. Methods: Population based-cohort study conducted using Danish registers. The study...
4.
New data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources: a case study on antiseizure medications users aged ≥65 identified in Danish registries
Mahmoud I, Battini V, Carnovale C, Clementi E, Kragholm K, Sessa M
BMJ Open . 2024 Jun; 14(6):e080126. PMID: 38844392
Objectives: We aimed to develop a new data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources using antiepileptic drugs among individuals aged ≥65 identified in...
5.
The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration
Fusaroli M, Salvo F, Begaud B, Alshammari T, Bate A, Battini V, et al.
Drug Saf . 2024 May; 47(6):585-599. PMID: 38713347
In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous...
6.
The Reporting of a Disproportionality Analysis for Drug Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Development and Statement
Fusaroli M, Salvo F, Begaud B, Alshammari T, Bate A, Battini V, et al.
Drug Saf . 2024 May; 47(6):575-584. PMID: 38713346
Background And Aim: Disproportionality analyses using reports of suspected adverse drug reactions are the most commonly used quantitative methods for detecting safety signals in pharmacovigilance. However, their methods and results...
7.
Timing Matters: A Machine Learning Method for the Prioritization of Drug-Drug Interactions Through Signal Detection in the FDA Adverse Event Reporting System and Their Relationship with Time of Co-exposure
Battini V, Cocco M, Barbieri M, Powell G, Carnovale C, Clementi E, et al.
Drug Saf . 2024 Apr; 47(9):895-907. PMID: 38687463
Introduction: Current drug-drug interaction (DDI) detection methods often miss the aspect of temporal plausibility, leading to false-positive disproportionality signals in spontaneous reporting system (SRS) databases. Objective: This study aims to...
8.
Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review
Cocco M, Carnovale C, Clementi E, Barbieri M, Battini V, Sessa M
Expert Rev Clin Pharmacol . 2024 Apr; 17(5-6):441-453. PMID: 38619027
Introduction: Drug-drug interactions (DDIs) are defined as the pharmacological effects produced by the concomitant administration of two or more drugs. To minimize false positive signals and ensure their validity when...
9.
Comparing major and mild cognitive impairment risks in older type-2 diabetic patients: a Danish register-based study on dipeptidyl peptidase-4 inhibitors vs. glucagon-like peptide-1 analogues
Battini V, Barbieri M, Carnovale C, Spina E, Clementi E, Sessa M
J Neurol . 2024 Mar; 271(6):3417-3425. PMID: 38517522
Introduction: The prevalence of major and mild cognitive impairment (CI) in type-2 diabetes older patients is 15-25% and 30-60%, respectively, thus affecting quality of life and health outcomes. There is,...
10.
Evaluating the 6-month formulation of paliperidone palmitate: a twice-yearly injectable treatment for schizophrenia in adults
Cirnigliaro G, Battini V, Castiglioni M, Renne M, Mosini G, Cheli S, et al.
Expert Rev Neurother . 2024 Mar; 24(4):325-332. PMID: 38445396
Introduction: Paliperidone Palmitate is the only antipsychotic that has been developed in three different intramuscular long-acting injectable (LAI) dosing regimen: monthly (PP1M), quarterly (PP3M), and from 2020 also twice-yearly (PP6M)....