Benefit-risk Assessment of Cladribine Using ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Benefit-risk Assessment of Cladribine Using Multi-criteria Decision Analysis (MCDA) for Patients With Relapsing-remitting Multiple Sclerosis.
Author(s) :
Vermersch, Patrick [Auteur]
Lille Inflammation Research International Center - U 995 [LIRIC]
Lille Inflammation Research International Center (LIRIC) - U995
Martinelli, Vittorio [Auteur]
Pfleger, Claudia [Auteur]
Rieckmann, Peter [Auteur]
Alonso-Magdalena, Lucia [Auteur]
Galazka, Andrew [Auteur]
Dangond, Fernando [Auteur]
Phillips, Lawrence [Auteur]
Lille Inflammation Research International Center - U 995 [LIRIC]
Lille Inflammation Research International Center (LIRIC) - U995
Martinelli, Vittorio [Auteur]
Pfleger, Claudia [Auteur]
Rieckmann, Peter [Auteur]
Alonso-Magdalena, Lucia [Auteur]
Galazka, Andrew [Auteur]
Dangond, Fernando [Auteur]
Phillips, Lawrence [Auteur]
Journal title :
Clinical therapeutics
Abbreviated title :
Clin Ther
Volume number :
41
Pages :
249-260.e18
Publication date :
2019-02-01
ISSN :
1879-114X
English keyword(s) :
risk assessment
Multiple sclerosis
relapsing-remitting
cladribine
Multi-criteria Decision Analysis
Multiple sclerosis
relapsing-remitting
cladribine
Multi-criteria Decision Analysis
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
OBJECTIVE: We applied Multi-Criteria Decision Analysis (MCDA) methods in a structured benefit-risk assessment of cladribine and newer approved disease-modifying drugs (DMDs) for patients with relapsing-remitting multiple ...
Show more >OBJECTIVE: We applied Multi-Criteria Decision Analysis (MCDA) methods in a structured benefit-risk assessment of cladribine and newer approved disease-modifying drugs (DMDs) for patients with relapsing-remitting multiple sclerosis (RRMS). METHODS: Decision conferencing with clinical neurologists as decision makers was used to create an MCDA model that incorporated available evidence on DMDs for RRMS and clinical judgments about the relevance of the evidence. Benefit-risk assessments were conducted for DMDs in both patients with RRMS and patients with RRMS with high disease activity (HDA; defined as ≥2 relapses in the previous year). Treatment options included cladribine and recently approved DMDs available in European Union countries at the time of assessment (December 2015): alemtuzumab, dimethyl fumarate, fingolimod, natalizumab, and teriflunomide. To account for the relative importance of DMD effects, scores for the MCDA model were weighted to ensure that the most clinically important attributes carried more weight in the final benefit-risk calculation. The neurologists weighted different efficacy and safety profile attributes without any reference to individual DMDs to disassociate the assessment of weights with any specific DMD. The neurologists did not do direct comparisons between DMDs. RESULTS: The highest overall weighted preference value for the RRMS model was for dimethyl fumarate (63) followed closely by cladribine (62). For patients with RRMS and HDA, cladribine had the highest overall weighted preference value (76), followed by alemtuzumab (62) and natalizumab (61). The benefit-risk balance of cladribine in patients with RRMS and specifically patients with RRMS who exhibited HDA characterized by high relapse activity (≥2 relapses in the previous year) was more favorable than the other DMDs included in the model. CONCLUSIONS: The balance of high efficacy and the safety profile makes cladribine an important treatment option to consider, both in patients with RRMS and patients with HDA. Regular, single-country meetings could be organized to explore how differences in cultural values (scores and weights) and updated input data might affect the usefulness of MCDA in different, real-world, dynamic clinical settings.Show less >
Show more >OBJECTIVE: We applied Multi-Criteria Decision Analysis (MCDA) methods in a structured benefit-risk assessment of cladribine and newer approved disease-modifying drugs (DMDs) for patients with relapsing-remitting multiple sclerosis (RRMS). METHODS: Decision conferencing with clinical neurologists as decision makers was used to create an MCDA model that incorporated available evidence on DMDs for RRMS and clinical judgments about the relevance of the evidence. Benefit-risk assessments were conducted for DMDs in both patients with RRMS and patients with RRMS with high disease activity (HDA; defined as ≥2 relapses in the previous year). Treatment options included cladribine and recently approved DMDs available in European Union countries at the time of assessment (December 2015): alemtuzumab, dimethyl fumarate, fingolimod, natalizumab, and teriflunomide. To account for the relative importance of DMD effects, scores for the MCDA model were weighted to ensure that the most clinically important attributes carried more weight in the final benefit-risk calculation. The neurologists weighted different efficacy and safety profile attributes without any reference to individual DMDs to disassociate the assessment of weights with any specific DMD. The neurologists did not do direct comparisons between DMDs. RESULTS: The highest overall weighted preference value for the RRMS model was for dimethyl fumarate (63) followed closely by cladribine (62). For patients with RRMS and HDA, cladribine had the highest overall weighted preference value (76), followed by alemtuzumab (62) and natalizumab (61). The benefit-risk balance of cladribine in patients with RRMS and specifically patients with RRMS who exhibited HDA characterized by high relapse activity (≥2 relapses in the previous year) was more favorable than the other DMDs included in the model. CONCLUSIONS: The balance of high efficacy and the safety profile makes cladribine an important treatment option to consider, both in patients with RRMS and patients with HDA. Regular, single-country meetings could be organized to explore how differences in cultural values (scores and weights) and updated input data might affect the usefulness of MCDA in different, real-world, dynamic clinical settings.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CHU Lille
Inserm
Université de Lille
Inserm
Université de Lille
Submission date :
2019-10-22T08:16:55Z