The Swiss Multiple Sclerosis Cohort-Study (SMSC): A Prospective Swiss Wide Investigation of Key Phases in Disease Evolution and New Treatment Options

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Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

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Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

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The changing demographic pattern of multiple sclerosis epidemiology

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The Immunopathology of Multiple Sclerosis: An Overview

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A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking

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Mechanisms of neurodegeneration and axonal dysfunction in multiple sclerosis

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Oral teriflunomide for patients with relapsing multiple sclerosis (TOWER): a randomised, double-blind, placebo-controlled, phase 3 trial

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Multiple Sclerosis: Current and Emerging Disease-Modifying Therapies and Treatment Strategies

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Immunology of relapse and remission in multiple sclerosis.

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Incidence and prevalence of multiple sclerosis in the UK 1990-2010: a descriptive study in the General Practice Research Database

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Onset of secondary progressive phase and long-term evolution of multiple sclerosis

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Age and disability accumulation in multiple sclerosis

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Body fluid biomarkers in multiple sclerosis

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MSBase: an international, online registry and platform for collaborative outcomes research in multiple sclerosis

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Radiologically isolated syndrome – incidental magnetic resonance imaging findings suggestive of multiple sclerosis, a systematic review

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Methods in Comparative Effectiveness Research

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Overlapping CNS inflammatory diseases: differentiating features of NMO and MS

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Alemtuzumab: A new therapy for active relapsing–remitting multiple sclerosis

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The Danish Multiple Sclerosis Registry

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Oral BG-12 (dimethyl fumarate) for relapsing–remitting multiple sclerosis: a review of DEFINE and CONFIRM

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Natalizumab Therapy for Multiple Sclerosis

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From the Gothenburg cohort to the Swedish multiple sclerosis registry

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Relapsing–remitting and primary progressive MS have the same cause(s)- the neuropathologist’s view: 2

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The costs of disorders of the brain in Switzerland: an update from the European Brain Council Study for 2010

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Relapsing–remitting and primary progressive MS have the same cause(s) – the neuropathologist’s view: 1

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Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis

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Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation study

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Developing clinical prediction models: a step-by-step guide

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Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation study.

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Association of Brain Atrophy With Disease Progression Independent of Relapse Activity in Patients With Relapsing Multiple Sclerosis

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Choroid Plexus Volume in Multiple Sclerosis vs Neuromyelitis Optica Spectrum Disorder

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Neurofilament Light Chain Elevation and Disability Progression in Multiple Sclerosis

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Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS

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Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approach

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The Swiss Multiple Sclerosis Registry (SMSR): study protocol of a participatory, nationwide registry to promote epidemiological and patient-centered MS research

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Serum Glial Fibrillary Acidic Protein and Neurofilament Light Chain Levels Reflect Different Mechanisms of Disease Progression under B‐Cell Depleting Treatment in Multiple Sclerosis

Benkert, P., Maceski, A. M., Schaedelin, S. A., Oechtering, J., Zadic, A., Gomez, J. F. V., Melie‐García, L., Cagol, A., Galbusera, R., Subramaniam, S., et al. (2024) · Annals of Neurology · doi:10.1002/ana.27096 · Cited by 61 · see citing works

Treatment with disease-modifying drugs for people with a first clinical attack suggestive of multiple sclerosis

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The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading

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Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review

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Loss of corticospinal tract integrity in early MS disease stages

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Development and validation of the self-reported disability status scale (SRDSS) to estimate EDSS-categories

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A Framework for Estimating the Burden of Chronic Diseases: Design and Application in the Context of Multiple Sclerosis

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Intrathecal Immunoglobulin M Synthesis is an Independent Biomarker for Higher Disease Activity and Severity in Multiple Sclerosis

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Comparative analysis of dimethyl fumarate and fingolimod in relapsing–remitting multiple sclerosis

Lorscheider, J., Benkert, P., Lienert, C., Hänni, P., Derfuss, T. J., Kühle, J., Kappos, L., & Yaldizli, Ö. (2020) · Journal of Neurology · doi:10.1007/s00415-020-10226-6 · Cited by 28 · see citing works

Lymphocyte recovery after fingolimod discontinuation in patients with MS

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Epidemiology and costs of multiple sclerosis in Switzerland: an analysis of health-care claims data, 2011–2015

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Synthesizing cross‐design evidence and cross‐format data using network meta‐regression

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Personality as a Predictor of Disability in Multiple Sclerosis

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Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting

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Aberrant Complement Activation Is Associated With Structural Brain Damage in Multiple Sclerosis

Oechtering, J., Schädelin, S., Stein, K., Maceski, A. M., Melie‐García, L., Benkert, P., Cagol, A., Leber, S., Galbusera, R., Ruberte, E., et al. (2025) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200361 · Cited by 20 · see citing works

The Canadian prospective cohort study to understand progression in multiple sclerosis (CanProCo): rationale, aims, and study design

Oh, J., Arbour, N., Giuliani, F., Guenette, M. D., Kolind, S., Lynd, L. D., Marrie, R. A., Metz, L. M., Patten, S. B., Prat, A., et al. (2021) · BMC Neurology · doi:10.1186/s12883-021-02447-7 · Cited by 18 · see citing works

Serum Neurofilament Light Chain in Multiple Sclerosis: Superiority of Age‐ and BMI ‐Corrected Z Scores/Percentiles Over Absolute Cutoff Values for Prediction of Treatment Response

Einsiedler, M., Maceski, A. M., Sandgren, S., Oechtering, J., Schädelin, S., Hofer, L., Zadic, A., Gomez, J. F. V., Melie‐García, L., Cagol, A., et al. (2025) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70149 · Cited by 17 · see citing works

Assessment of cognitive performance in multiple sclerosis using smartphone-based training games: a feasibility study

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Role of Family Planning in Women With Multiple Sclerosis in Switzerland: Results of the Women With Multiple Sclerosis Patient Survey

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Quantifying the relationship between disability progression and quality of life in patients treated for NMOSD: Insights from the SAkura studies

Levy, M., Haycox, A. R., Becker, U., Costantino, C., Damonte, E., Klingelschmitt, G., von Büdingen, H.-C., Wallenstein, G. V., Maio, D. D., & Szczechowski, L. (2021) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2021.103332 · Cited by 16 · see citing works

Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis

Chalkou, K., Steyerberg, E. W., Bossuyt, P. M., Subramaniam, S., Benkert, P., Kühle, J., Disanto, G., Kappos, L., Zecca, C., Egger, M., et al. (2021) · Diagnostic and Prognostic Research · doi:10.1186/s41512-021-00106-6 · Cited by 14 · see citing works

A Multicenter Longitudinal MRI Study Assessing LeMan‐PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients

Todea, R., Melie‐García, L., Baraković, M., Cagol, A., Rahmanzadeh, R., Galbusera, R., Lu, P., Weigel, M., Ruberte, E., Radue, E. W., et al. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28618 · Cited by 13 · see citing works

White Matter Tract Degeneration in Multiple Sclerosis Patients With Progression Independent of Relapse Activity

Ocampo‐Pineda, M., Cagol, A., Benkert, P., Baraković, M., Lu, P., Müller, J., Schädelin, S., Melie‐García, L., Weigel, M., Sormani, M. P., et al. (2025) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200388 · Cited by 11 · see citing works

Explainable Artificial Intelligence to predict clinical outcomes in type 1 diabetes and relapsing-remitting multiple sclerosis adult patients

Ihalapathirana, A., Chalkou, K., Siirtola, P., Tamminen, S., Chandra, G., Benkert, P., Kühle, J., Salanti, G., & Röning, J. (2023) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2023.101349 · Cited by 10 · see citing works

Anterior horn atrophy in the cervical spinal cord: A new biomarker in progressive multiple sclerosis

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Comparative effectiveness of teriflunomide and ocrelizumab on smoldering activity in multiple sclerosis: an observational study in the Swiss Multiple Sclerosis Cohort

Cagol, A., Schaedelin, S., Ocampo-Pineda, M., Benkert, P., Melie-García, L., Luchetti, L., Yaldizli, Ö., Oechtering, J., D'Souza, M., Fischer-Barnicol, B., et al. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13221-x · Cited by 8 · see citing works

Serum GFAP as a biomarker for progression in multiple sclerosis: assay comparison and a large reference database of healthy controls

Willemse, E. A. J., Sandgren, S., Benkert, P., Schaedelin, S. A., Maceski, A. M., Oechtering, J., Genc, N., Berger, K., Hermesdorf, M., Müller, S., et al. (2025) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2025-1480 · Cited by 8 · see citing works

Diffusion tensor imaging of the normal-appearing deep gray matter in primary and secondary progressive multiple sclerosis

Woitek, R., Leutmezer, F., Dal‐Bianco, A., Furtner, J., Kasprian, G. J., Prayer, D., & Schöpf, V. (2019) · Acta Radiologica · doi:10.1177/0284185119852735 · Cited by 8 · see citing works

MultiSCRIPT-Cycle 1—a pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in multiple sclerosis: a study protocol for a randomized clinical trial

Janiaud, P., Zecca, C., Salmen, A., Benkert, P., Schädelin, S., Orleth, A., Demuth, L., Maceski, A. M., Granziera, C., Oechtering, J., et al. (2024) · Trials · doi:10.1186/s13063-024-08454-6 · Cited by 7 · see citing works

Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis

Tsagkas, C., Horváth, A., Haas, T., Amann, M., Todea, R., Altermatt, A., Müller, J., Cagol, A., Leimbacher, M., Baraković, M., et al. (2023) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7756 · Cited by 7 · see citing works

Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort

Greselin, M., Lu, P., Melie‐García, L., Ocampo‐Pineda, M., Galbusera, R., Cagol, A., Weigel, M., Siebenborn, N. D. O. S., Ruberte, E., Benkert, P., et al. (2024) · Bioengineering · doi:10.3390/bioengineering11080858 · Cited by 6 · see citing works

The therapeutic potential of exercise for improving mobility in multiple sclerosis

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Factors associated with low health-related quality of life in persons with multiple sclerosis: A quantile-based segmentation approach

Iaquinto, S., Ineichen, B. V., Salmen, A., Kühle, J., Benkert, P., Hofer, L., Calabrese, P., Kamm, C. P., Roth, P., Zecca, C., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0312486 · Cited by 6 · see citing works

Real-world-Evidenz

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Biomarker discovery using NUcleic Acid-Linked Immuno-Sandwich Assay in multiple sclerosis patients experiencing progression independent of relapse activity

Sandgren, S., Maceski, A. M., Benkert, P., Einsiedler, M., Schädelin, S., Oechtering, J., Achtnichts, L., Lalive, P. H., Müller, S., Pot, C., et al. (2025) · Multiple Sclerosis Journal · doi:10.1177/13524585251375780 · Cited by 5 · see citing works

Longitudinal assessment of cervical spinal cord compartments in multiple sclerosis

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Combining randomized and non‐randomized data to predict heterogeneous effects of competing treatments

Chalkou, K., Hamza, T., Benkert, P., Kühle, J., Zecca, C., Simoneau, G., Pellegrini, F., Manca, A., Egger, M., & Salanti, G. (2024) · Research Synthesis Methods · doi:10.1002/jrsm.1717 · Cited by 5 · see citing works

Instance-level quantitative saliency in multiple sclerosis lesion segmentation

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Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis

Chen, X., Lu, P., Ocampo‐Pineda, M., Cagol, A., Schädelin, S., Ruberte, E., Weigel, M., Spagnolo, F., Benkert, P., Lieb, J. M., et al. (2025) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200459 · Cited by 3 · see citing works

Investigating neuroanatomical correlates of neuropathic pain in multiple sclerosis: A pilot comparative study using advanced MRI techniques

Fillebeen, G., Ocampo‐Pineda, M., Ruberte, E., Melie‐García, L., Kühle, J., Kurz, F. T., Lövblad, K., Lalive, P. H., & Lascano, A. M. (2025) · Revue Neurologique · doi:10.1016/j.neurol.2025.06.011 · Cited by 3 · see citing works

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Cagol, A., Benkert, P., Schaedelin, S. A., Ocampo‐Pineda, M., Montobbio, N., Lu, P., Ayci, B., Wenger, A., Shukur, A. A., Kaim, K., et al. (2026) · Advanced Science · doi:10.1002/advs.202512946 · Cited by 3 · see citing works

Advances in neurofilament light chain analysis

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Surveying sleep quality and fatigue in multiple sclerosis patients at a multiple sclerosis center in Kermanshah, Iran, in 2017

Karimi, S., Jalilian, M., Abdi, A., Khazaie, H., & Sarbarzeh, P. A. (2020) · Neurobiology of Sleep and Circadian Rhythms · doi:10.1016/j.nbscr.2020.100050 · Cited by 3 · see citing works

Morphology-Dependent Transformation of Dicalcium Phosphate Dihydrate (DCPD) to Octacalcium Phosphate (OCP) and Its Stability in Simulated Physiological Fluids

Chávez-Herrera, D., Rangel-Villanueva, E., Salazar-Hernández, M., Talavera-López, A., Arias, A. N. A., Hernández-Soto, R., Marcial, O. J. S., & Hernández, J. A. (2025) · Molecules · doi:10.3390/molecules30173631 · Cited by 2 · see citing works

Neurofilament Light Chain Concentration in the Prediction of Treatment Response in Multiple Sclerosis

Moradi, N., Sharmin, S., Malpas, C. B., Kühle, J., Benkert, P., Leppert, D., Havrdová, E., Horáková, D., Kleinová, P., Uher, T., et al. (2026) · European Journal of Neurology · doi:10.1111/ene.70505 · Cited by 2 · see citing works

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI

Spagnolo, F., Molchanova, N., Ocampo‐Pineda, M., Melie‐García, L., Cuadra, M. B., Granziera, C., Andrearczyk, V., & Depeursinge, A. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-77610-6_12 · Cited by 2 · see citing works

Extended Technical and Clinical Validation of Deep Learning‐Based Brainstem Segmentation for Application in Neurodegenerative Diseases

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Treatment Strategies and Disease Activity During Pregnancy and Postpartum

Einsiedler, M., Zecca, C., Hofer, L., Benkert, P., Axfors, C., Bedussi, F., Ceschi, A., Disanto, G., Müller, J., Oechtering, J., et al. (2025) · Neurology Clinical Practice · doi:10.1212/cpj.0000000000200499 · Cited by 2 · see citing works

Sclerosis multiplex a közép-magyarországi régióban: a helyi adatbázisfejlesztés tapasztalatai és jövőbeli lehetőségei

Iljicsov, A., Simó, M., Tegze, N., Szócska, M., Mátyus, P., & Bereczki, D. (2019) · Orvosi Hetilap · doi:10.1556/650.2019.31274 · Cited by 2 · see citing works

Confirmed Worsening of Health‐Related Quality of Life to Monitor Long‐Term MS Disease Progression: A Longitudinal Analysis From the Swiss Multiple Sclerosis Registry

Iaquinto, S., Ineichen, B. V., Stanikić, M., Kühle, J., Kamm, C. P., Calabrese, P., Roth, P., Baum, C., Zecca, C., Gobbi, C., et al. (2025) · European Journal of Neurology · doi:10.1111/ene.70230 · Cited by 1 · see citing works

Sex differences in the development, treatment, and prognosis of multiple sclerosis in Switzerland

Annovazzi, T., Kühle, J., Benkert, P., Schaedelin, S. A., Schwarz, J., Vallejo‐Yagüe, E., Clair, C., & Pot, C. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1745599 · Cited by 1 · see citing works

Serum Glial Fibrillary Acidic Protein Dynamics, Disease Progression, and Therapy Response in Multiple Sclerosis

Einsiedler, M., Sandgren, S., Schaedelin, S. A., Ning, K., Maceski, A. M., Oechtering, J., Cordano, C., Melie‐García, L., Gelfand, J. M., Cagol, A., et al. (2026) · JAMA Neurology · doi:10.1001/jamaneurol.2026.2500 · Cited by 1 · see citing works

Treatment persistence and clinical outcomes in patients starting B cell depleting therapies within the Swiss MS Cohort

Disanto, G., Schädelin, S., Oechtering, J., Lorscheider, J., Galbusera, R., Finkener, S., Achtnichts, L., Lalive, P. H., Müller, S., Pot, C., et al. (2025) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/20552173251315457 · Cited by 1 · see citing works

MultiSCRIPT-Cycle 1- A Pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in Multiple Sclerosis: a study protocol for a randomized clinical trialPreprint

Janiaud, P., Zecca, C., Salmen, A., Benkert, P., Schädelin, S., Orleth, A., Demuth, L., Maceski, A. M., Granziera, C., Oechtering, J., et al. (2024) · medRxiv · doi:10.1101/2024.03.22.24304720

Exploiting XAI maps to improve MS lesion segmentation and detection in MRIPreprint

Spagnolo, F., Molchanova, N., Ocampo‐Pineda, M., Melie‐García, L., Cuadra, M. B., Granziera, C., Andrearczyk, V., & Depeursinge, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.29.610090

Music therapy with a monochord in multiple sclerosis (“MUTIMS”): A randomized, controlled, rater-blinded trial

Kuhlmann, J., Ebner, K. A., Zimmer, A., Rommers, N., Cerdá-Fuertes, N., Fischer‐Barnicol, B., Dinsenbacher, L. L., Marz, J., D’Souza, M., Parmar, K., et al. (2025) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/20552173251352712

Cohort profile: Swiss personalized health network cohort consortium

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Additional file 1 of MultiSCRIPT-Cycle 1—a pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in multiple sclerosis: a study protocol for a randomized clinical trial

Janiaud, P., Zecca, C., Salmen, A., Benkert, P., Schädelin, S., Orleth, A., Demuth, L., Maceski, A. M., Granziera, C., Oechtering, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.27000718

Additional file 2 of MultiSCRIPT-Cycle 1—a pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in multiple sclerosis: a study protocol for a randomized clinical trial

Janiaud, P., Zecca, C., Salmen, A., Benkert, P., Schädelin, S., Orleth, A., Demuth, L., Maceski, A. M., Granziera, C., Oechtering, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.27000721

Additional file 1 of The Canadian prospective cohort study to understand progression in multiple sclerosis (CanProCo): rationale, aims, and study design

Oh, J., Arbour, N., Giuliani, F., Guenette, M. D., Kolind, S., Lynd, L., Marrie, R. A., Metz, L. M., Patten, S. B., Prat, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16893237

Additional file 3 of MultiSCRIPT-Cycle 1—a pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in multiple sclerosis: a study protocol for a randomized clinical trial

Janiaud, P., Zecca, C., Salmen, A., Benkert, P., Schädelin, S., Orleth, A., Demuth, L., Maceski, A. M., Granziera, C., Oechtering, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.27000724

The Use of Baseline Score in Cost-Effectiveness Modeling of Competing Interventions

Hamza, T., Chalkou, K., Pellegrini, F., Lorscheider, J., Kühle, J., Meier, N., Pletscher, M., Egger, M., Salanti, G., Manca, A., et al. (2026) · Value in Health · doi:10.1016/j.jval.2026.03.2245

Emerging CSF and Serum Biomarkers in Multiple Sclerosis

Oechtering, J., Schädelin, S., Maceski, A. M., Stein, K., Genc, N., Einsiedler, M., Benkert, P., Willemse, E. A. J., Derfuss, T. J., Fischer‐Barnicol, B., et al. (2026) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200578

Serum Glial Fibrillary Acidic Protein and Retinal Neuronal Loss as Additive Prognostic Markers of Disability in Multiple Sclerosis

Sellathurai, S., Schoenholzer, K., Villena, F. B., Cerdá-Fuertes, N., Hofer, L., Schädelin, S., Kana, V., Mahenthiran, P., D’Souza, M., Maceski, A. M., et al. (2026) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200571

Choroid plexus morphological and microstructural changes across inflammatory phenotypes in multiple sclerosis

Mastantuono, M., Cagol, A., Ocampo‐Pineda, M., Lu, P., Weigel, M., Melie‐García, L., Aldea, A.-A., Yaldizli, Ö., Kappos, L., Sormani, M. P., et al. (2026) · Multiple Sclerosis Journal · doi:10.1177/13524585261462513

Macro- and microstructural changes in the upper cervical spinal cord and their clinical correlates in multiple sclerosis

Kaim, K., Ocampo‐Pineda, M., Tsagkas, C., Lu, P., Weigel, M., Melie‐García, L., Schädelin, S., Benkert, P., Kappos, L., Sormani, M. P., et al. (2026) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/20552173261479426

Dynamic Cohorts in Multiple Sclerosis: A Proactive Approach for Safety Monitoring and Comparative Effectiveness (1513)

Sabidó, M., Batech, M., Foch, C., Boutmy, E., & Verpillat, P. (2020) · Neurology · doi:10.1212/wnl.94.15_supplement.1513

Single-centre, prospective cohort to predict optimal individualised treatment response in multiple sclerosis (POINT-MS): a cohort profile

Christensen, R., Cruciani, A., Al‐Araji, S., Bianchi, A., Chard, D., Fourali, S., Hamed, W., Hammam, A., He, A. H., Kanber, B., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-103440 · Cited by 3 · see citing works

Prognostic factors of disability progression in multiple sclerosis in real life: the OFSEP-high definition (OFSEP-HD) prospective cohort in France

Guillemin, F., Casey, R., Epstein, J., Foucher, Y., Laplaud, D. A., Achit, H., Rollot, F., Leray, E., & Vukusic, S. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-094688 · Cited by 1 · see citing works

FutureMS cohort profile: a Scottish multicentre inception cohort study of relapsing-remitting multiple sclerosis

Kearns, P. K. A., Martin, S. J., Chang, J. C., Meijboom, R., York, E. N., Chen, Y., Weaver, C., Stenson, A., Hafezi, K., Thomson, S., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058506 · Cited by 17 · see citing works

Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis, the ProVal-MS study

Bayas, A., Mansmann, U., Ön, B. I., Hoffmann, V. S., Berthele, A., Mühlau, M., Kowarik, M. C., Krumbholz, M., Şenel, M., Steuerwald, V., et al. (2024) · Neurological Research and Practice · doi:10.1186/s42466-024-00310-x · Cited by 10 · see citing works