Disease-modifying treatment and disability progression in subclasses of patients with primary progressive MS: results from the Big MS Data Network Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1136/jnnp-2024-334700
Background Effectiveness of disease-modifying treatment (DMT) in people affected by primary progressive multiple sclerosis (PPMS) is limited. Whether specific subgroups may benefit more from DMT in a real-world setting remains unclear. Our aim was to investigate the potential effect of DMT on disability worsening among patients with PPMS stratified by different disability trajectories. Methods Within the framework of the Big MS Data network, we merged data from the Observatoire Français de la Sclérose en Plaques, the Swedish and Italian MS registries, and MSBase. We identified patients with PPMS that started DMT or were never treated during the observed period. Subpopulations with comparable baseline characteristics were selected by propensity score matching. Disability outcomes were analysed in time-to-recurrent event analyses, which were repeated in subclasses with different disability trajectories determined by latent class mixed models. Results Of the 3243 included patients, we matched 739 treated and 1330 untreated patients with a median follow-up of 3 years after pairwise censoring. No difference in the risk of confirmed disability worsening (CDW) was observed between the groups in the fully matched dataset (HR 1.11, 95% CI 0.97 to 1.23, p=0.127). However, we found a lower risk for CDW among the class of treated patients with an aggressive disability trajectory (n=360, HR 0.68, 95% CI 0.50 to 0.92, p=0.014). Conclusions In line with previous studies, our data suggest that DMT does not ameliorate disability worsening in PPMS, in general. However, we observed a beneficial effect of DMT on disability worsening in patients with aggressive predicted disability trajectories.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/jnnp-2024-334700
- https://jnnp.bmj.com/content/jnnp/early/2024/12/06/jnnp-2024-334700.full.pdf
- OA Status
- hybrid
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405105592
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405105592Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/jnnp-2024-334700Digital Object Identifier
- Title
-
Disease-modifying treatment and disability progression in subclasses of patients with primary progressive MS: results from the Big MS Data NetworkWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-06Full publication date if available
- Authors
-
Johannes Lorscheider, Alessio Signori, Suvitha Subramaniam, Pascal Benkert, Sandra Vukusic, María Trojano, Jan Hillert, Anna Glaser, Robert Hyde, Tim Spelman, Melinda Magyari, Frederik Elberling, Luigi Pontieri, Nils Koch‐Henriksen, Per Soelberg Sørensen, Oliver Gerlach, Alexandre Prat, Marc Girard, Sara Eichau, Pierre Grammond, Dana Horáková, Cristina Ramo‐Tello, Izanne Roos, Katherine Buzzard, Jeanette Lechner Scott, José Luis Sánchez-Menoyo, Raed Alroughani, Julie Prévost, Jens Kühle, Orla Gray, Guillaume Mathey, Laure Michel, Jonathan Ciron, de Sèze, Élisabeth Maillart, Aurélie Ruet, Pierre Labauge, Hélène Zephir, Arnaud Kwiatkowski, Anneke van der Walt, Tomáš Kalinčík, Helmut ButzkuevenList of authors in order
- Landing page
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https://doi.org/10.1136/jnnp-2024-334700Publisher landing page
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https://jnnp.bmj.com/content/jnnp/early/2024/12/06/jnnp-2024-334700.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://jnnp.bmj.com/content/jnnp/early/2024/12/06/jnnp-2024-334700.full.pdfDirect OA link when available
- Concepts
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Medicine, Propensity score matching, Multiple sclerosis, Expanded Disability Status Scale, Internal medicine, Proportional hazards model, Disease, PsychiatryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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