Systematic review of prediction models in relapsing remitting multiple sclerosis

Predictive medicine in multiple sclerosis: A systematic review

(2020) Julie Havas et al.   Multiple Sclerosis and Related Disorders

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

(2019) Robert F. Wolff et al.   ANNALS OF INTERNAL MEDICINE

Predicting clinical progression in multiple sclerosis after six and twelve years

(2019) I. Dekker et al.   EUROPEAN JOURNAL OF NEUROLOGY

Plasma Neurofilaments correlate with Disability in Progressive Multiple Sclerosis patients

(2019) Diana Ferraro et al.   ACTA NEUROLOGICA SCANDINAVICA

Predicting risk of secondary progression in multiple sclerosis: A nomogram

(2018) Ali Manouchehrinia et al.   Multiple Sclerosis Journal

Serum neurofilament light chain is a biomarker of acute and chronic neuronal damage in early multiple sclerosis

(2018) Nelly Siller et al.   Multiple Sclerosis Journal

Predicting risk of secondary progression in multiple sclerosis: A nomogram

(2018) Ali Manouchehrinia et al.   Multiple Sclerosis Journal

Serum neurofilament light chain is a biomarker of acute and chronic neuronal damage in early multiple sclerosis

(2018) Nelly Siller et al.   Multiple Sclerosis Journal

Association of Pre-Disease Body Mass Index With Multiple Sclerosis Prognosis

(2018) Ali Manouchehrinia et al.   Frontiers in Neurology

Longitudinal study of multiple sclerosis lesions using ultra-high field (7T) multiparametric MR imaging

(2018) Sanjeev Chawla et al.   PLoS One

Atrophied brain lesion volume, a magnetic resonance imaging biomarker for monitoring neurodegenerative changes in multiple sclerosis

(2018) Robert Zivadinov et al.   QUANTITATIVE IMAGING IN MEDICINE AND SURGERY

Evolving concepts in the treatment of relapsing multiple sclerosis

(2017) Giancarlo Comi et al.   LANCET

New Multiple Sclerosis Disease Severity Scale Predicts Future Accumulation of Disability

(2017) Ann Marie Weideman et al.   Frontiers in Neurology

Evaluation of cognition and fatigue in multiple sclerosis: daily practice and future directions

(2016) I.-K. Penner   ACTA NEUROLOGICA SCANDINAVICA

Combining clinical and magnetic resonance imaging markers enhances prediction of 12-year disability in multiple sclerosis

(2016) Tomas Uher et al.   Multiple Sclerosis Journal

Combining clinical and magnetic resonance imaging markers enhances prediction of 12-year disability in multiple sclerosis

(2016) Tomas Uher et al.   Multiple Sclerosis Journal

BREMSO: a simple score to predict early the natural course of multiple sclerosis

(2015) R. Bergamaschi et al.   EUROPEAN JOURNAL OF NEUROLOGY

Effect of Smoking Cessation on Multiple Sclerosis Prognosis

(2015) Ryan Ramanujam et al.   JAMA Neurology

Earlier and more frequent diagnosis of multiple sclerosis using the McDonald criteria: Figure 1

(2014) Wallace J Brownlee et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Prognostic biomarkers of IFNb therapy in multiple sclerosis patients

(2014) Sergio E Baranzini et al.   Multiple Sclerosis Journal

Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist

(2014) Karel G. M. Moons et al.   PLOS MEDICINE

Continuous prediction of secondary progression in the individual course of multiple sclerosis

(2014) Bengt Skoog et al.   Multiple Sclerosis and Related Disorders

Brain atrophy and lesion load predict long term disability in multiple sclerosis

(2013) Veronica Popescu et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Exploring the predictive value of the evoked potentials score in MS within an appropriate patient population: a hint for an early identification of benign MS?

(2012) Nicolò Margaritella et al.   BMC Neurology

An RNA Profile Identifies Two Subsets of Multiple Sclerosis Patients Differing in Disease Activity

(2012) L. Ottoboni et al.   Science Translational Medicine

Computational classifiers for predicting the short-term course of Multiple sclerosis

(2011) Bartolome Bejarano et al.   BMC Neurology

One year activity on subtraction MRI predicts subsequent 4 year activity and progression in multiple sclerosis

(2011) M. Liguori et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Prediction of long-term disability in multiple sclerosis

(2011) R Schlaeger et al.   Multiple Sclerosis Journal

Predicting the severity of relapsing-remitting MS: The contribution of cross-sectional and short-term follow-up MRI data

(2011) C Enzinger et al.   Multiple Sclerosis Journal

Sensory evoked potentials to predict short-term progression of disability in multiple sclerosis

(2011) N. Margaritella et al.   NEUROLOGICAL SCIENCES

Early central atrophy rate predicts 5 year clinical outcome in multiple sclerosis

(2010) C. Lukas et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Receiver Operating Characteristic Curve in Diagnostic Test Assessment

(2010) Jayawant N. Mandrekar   Journal of Thoracic Oncology

The changing demographic pattern of multiple sclerosis epidemiology

(2010) Nils Koch-Henriksen et al.   LANCET NEUROLOGY

Physical and Cognitive Functioning After 3 Years Can Be Predicted Using Information From the Diagnostic Process in Recently Diagnosed Multiple Sclerosis

(2009) Vincent de Groot et al.   ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION

Gray matter atrophy and disability progression in patients with early relapsing–remitting multiple sclerosis

(2009) Dana Horakova et al.   JOURNAL OF THE NEUROLOGICAL SCIENCES

Predicting Clinical Progression in Multiple Sclerosis With the Magnetic Resonance Disease Severity Scale

(2008) Rohit Bakshi et al.   ARCHIVES OF NEUROLOGY

Clinical and conventional MRI predictors of disability and brain atrophy accumulation in RRMS

(2008) S. Mesaros et al.   JOURNAL OF NEUROLOGY

Smoking worsens the prognosis in multiple sclerosis

(2008) P Sundström et al.   Multiple Sclerosis Journal

Predicting short-term disability progression in early multiple sclerosis: added value of MRI parameters

(2007) A Minneboo et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY