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IRIS
Introduction: Information on the safety profile of disease-modifying therapies (DMTs) in multiple sclerosis (MS) is often lacking in routine clinical practice. Real-world data sources, such as patient registries, support pharmacovigilance to characterise safety signals, as recently recognised by regulatory agencies. In Italy, the "Italian Multiple Sclerosis and Related Disorders Register" (RISM) was officially launched in 2015 to collect demographic and clinical data from patients with MS.
Purpose: To describe the main characteristics of RISM as a research platform supporting the safety evaluation of MS therapies.
Methods: RISM enables the systematic characterisation of clinical events occurring in treated patients and, over the years, has implemented procedures to ensure high-quality data collection. A study cohort including subjects who initiated a DMT between 2016 and 2025 is analysed using descriptive statistics. Clinical events recorded during the study period are reported as absolute numbers and frequencies.
Results: Between 2016 and 2025, a total of 24 259 subjects received at least one DMT, and 4419 of them (18.2%) experienced one or multiple clinical events. For descriptive purposes, the occurrence of infections and malignancies, which accounted for 29.4% and 3.7% of all the clinical events collected in RISM respectively, are reported and categorised.
Conclusions: This article outlines the strengths and limitations of RISM in conducting safety studies and highlights the methodological and legal challenges associated with such platforms. Routinely collected healthcare data within RISM provide a comprehensive, patient-centred perspective for the long-term evaluation of DMT safety and can address relevant questions on drug policies and public health.
Real-World Data for Safety Studies: Challenges and Opportunities From the Italian Multiple Sclerosis and Related Disorders Register
Introduction: Information on the safety profile of disease-modifying therapies (DMTs) in multiple sclerosis (MS) is often lacking in routine clinical practice. Real-world data sources, such as patient registries, support pharmacovigilance to characterise safety signals, as recently recognised by regulatory agencies. In Italy, the "Italian Multiple Sclerosis and Related Disorders Register" (RISM) was officially launched in 2015 to collect demographic and clinical data from patients with MS.
Purpose: To describe the main characteristics of RISM as a research platform supporting the safety evaluation of MS therapies.
Methods: RISM enables the systematic characterisation of clinical events occurring in treated patients and, over the years, has implemented procedures to ensure high-quality data collection. A study cohort including subjects who initiated a DMT between 2016 and 2025 is analysed using descriptive statistics. Clinical events recorded during the study period are reported as absolute numbers and frequencies.
Results: Between 2016 and 2025, a total of 24 259 subjects received at least one DMT, and 4419 of them (18.2%) experienced one or multiple clinical events. For descriptive purposes, the occurrence of infections and malignancies, which accounted for 29.4% and 3.7% of all the clinical events collected in RISM respectively, are reported and categorised.
Conclusions: This article outlines the strengths and limitations of RISM in conducting safety studies and highlights the methodological and legal challenges associated with such platforms. Routinely collected healthcare data within RISM provide a comprehensive, patient-centred perspective for the long-term evaluation of DMT safety and can address relevant questions on drug policies and public health.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11369/486332
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.