Just a moment, the page is loading...
Browse ALL STUDIES
Keyword Search
View All Selected
Clear All
Login / Create Account
Login
Create Account
Home
About Us
Privacy Policy
Minimum System Requirements
How To Join
Mission
Data Sponsors
Researchers
How It Works
How to Request Data
Review of Requests
Data Sharing Agreement
Access to Data
Independent Review Panel
Metrics
FAQs
News
Help/Contact Us
Benefit-harm assessment of Fingolimod: a novel methodology to inform patients with MS, industry, guideline developers and regulatory agencies on the balance of benefits and harms
Proposal
1933
Title of Proposed Research
Benefit-harm assessment of Fingolimod: a novel methodology to inform patients with MS, industry, guideline developers and regulatory agencies on the balance of benefits and harms
Lead Researcher
Alessandra Spanu
Affiliation
University of ZurichInstitute of Social and Preventive MedicineHirschengraben 84CH-8001 Zurich
Funding Source
University of Zurich
Potential Conflicts of Interest
None
Data Sharing Agreement Date
02 January 2018
Lay Summary
Multiple sclerosis (MS) is an inflammatory autoimmune disease of the central nervous system and, with a lifetime risk of one in 400, is considered the leading cause of disability and morbidity in young adults (Compston, 2002).
There is still no cure for MS and until the 1990's the disorder was untreatable. The introduction of the first Disease Modifying Therapy (DMT) two decades ago represented a dramatic step forward for drug treatment of MS. Since this main discovery, the number of DMTs has been increasing progressively (La Mantia, 2016), making available to MS patients new pharmaceuticals products as oral agents. These have a more acceptable route of administration and a better efficacy in comparison to the older injectable drugs (Oh J, 2013).
One of them, Fingolimod, showed significant reduction of the relapse rate in patients with Relapsing-Remitting Multiple sclerosis (RRMS) as compared with placebo and with Interferon beta-1a (Oh J 2013). Some safety concerns emerged with post-marketing surveillance (AIFA 2015, EMA 2015; Oh J 2013). According to our searches, there is one systematic review that targets specifically the efficacy and safety of Fingolimod (La Mantia L, 2016), but no quantitative benefit-harm assessment has been conducted until now to assess if the benefits of Fingolimod outweigh its harms.
At our institute, we developed a new method to assess the benefits and harms of a treatment based on individual patient data of a trial. In contrast to most other methods for benefit-harm assessment, our approach shows for each patient how his or her health status develops over time depending on whether relapses or side effects occur.
Our aim is to apply this novel method for benefit harm analysis to four trials on Fingolimod, that compared two different doses of Fingolimod to placebo and Interferon-beta 1a, respectively. In a second step, our purpose is to develop a (network) meta-analytic methods to summarize the results across trials.
We will use individual patient data from these four trials and model for each patient how his or her health status develops over time, depending on whether relapses or side effects occur. To estimate the starting point of health status and how much health status changes as a function of relapses or side effects, we will review the literature for appropriate data. For each trial, we will compare the average health status over time of the treatment groups within each trial.
Our research will inform patients with MS, industry, guideline developers and regulatory agencies on the balance of benefits and harms of Fingolimod but it may also become an attractive way for benefit-harm assessment of other drugs.
Study Data Provided
[{ "PostingID": 4084, "Title": "NOVARTIS-CFTY720D2301", "Description": "A 24-month, Double-blind, Randomized, Multicenter, Placebo-controlled, Parallel-group Study Comparing the Efficacy and Safety of Fingolimod 1.25 mg and 0.5 mg Administered Orally Once Daily Versus Placebo in Patients With Relapsing-remitting Multiple Sclerosis" },{ "PostingID": 4085, "Title": "NOVARTIS-CFTY720D2302", "Description": "A 12-month Double-blind, Randomized, Multicenter, Active-controlled, Parallel-group Study Comparing the Efficacy and Safety of 0.5 mg and 1.25 mg Fingolimod (FTY720) Administered Orally Once Daily Versus Interferon ß-1a (Avonex) Administered im Once Weekly in Patients With Relapsing-remitting Multiple Sclerosis With Optional Extension Phase" },{ "PostingID": 4089, "Title": "NOVARTIS-CFTY720D2309", "Description": "24-month Double-blind, Randomized, Multicenter, Placebo-controlled, Parallel-group Study Comparing the Efficacy and Safety of 0.5 mg and 1.25 mg Fingolimod (FTY720) Administered Orally Once Daily Versus Placebo in Patients With Relapsing-remitting Multiple Sclerosis With Optional Extension Phase" },{ "PostingID": 4594, "Title": "NOVARTIS-CFTY720D2306", "Description": "A Double-blind, Randomized, Multicenter, Placebo-controlled, Parallel-group Study Comparing the Efficacy and Safety of 0.5mg FTY720 Administered Orally Once Daily Versus Placebo in Patients With Primary Progressive Multiple Sclerosis" }]
Statistical Analysis Plan
We will model health status on a scale from 0 (lowest possible health status) to 100 (perfect health status) of each patient over time by using a step function, where health status drops when an adverse event occurs and later may (fully or partially) return to the previous level if there is (full or partial) recovery. We will then compare the health status over time between treatment groups and within each of the four trials using linear mixed models. The results will be a point estimate between treatment groups that represents that average difference in health status together with a 95% confidence interval. We will perform sensitivity analyses to test the impact of assumptions about the drops in health status and time to recovery. We have developed this approach when participating in the data challenge of the New England Journal of Medicine using data from the SPRINT trial. We are currently working on the publication but the abstract is available here
https://challenge.nejm.org/challenges/the-sprint-data-analysis-challenge-challenge-round
(see for Hélène Aschmann).In a second step, we will explore if it is possible and if it makes sense to pool the results (based on the point estimates and standard errors) across trials. Anticipated challenges will be, for example, the different time horizons of the trials and populations enrolled. But this will be the first step towards (network) meta-analysis of benefit harm assessments, which would be entirely novel in the medical literature. For the purpose of this second step, it is very valuable to have the data from all four trials available.
Publication Citation
Spanu A, Aschmann HE, Kesselring J, Puhan MA. Fingolimod versus interferon beta 1-a: Benefit-harm assessment approach based on TRANSFORMS individual patient data. Multiple Sclerosis Journal - Experimental, Translational and Clinical. 2022;8(3). doi:10.1177/20552173221117784
Spanu A, Aschmann HE, Kesselring J, Puhan MA Benefit-harm balance of fingolimod in patients with MS: A modelling study based on FREEDOMS Multiple Sclerosis and Related Disorders VOLUME 46, Nov 2020.
https://doi.org/10.1016/j.msard.2020.102464
© 2024 ideaPoint. All Rights Reserved.
Powered by ideaPoint.
Help
Privacy Policy
Cookie Policy
Help and Resources