ArticleeNeurologicalSci2026
Factors associated with the progression of disability (EDSS) among MS patients.
Article in eNeurologicalSci, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Smoking and disability outcomes in multiple sclerosis: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Pooled it
- Manual federated simulation for multiple sclerosis integrating XGBoost algorithm with SHAP explanation.Scientific reports · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multiple sclerosis is a chronic, inflammatory, autoimmune disease of the central nervous system. Accumulating neurological disability has a substantial impact on the lives of patients with MS. The Expanded Disability Status Scale is a method of quantifying disability in MS. Objective: The aim of this study was to analyze the disability trajectory across years of patients living with MS seen at the Neurological Institute and to explore factors associated with the rate of change per year. Methods: A single-center study was conducted at the Neurological Institute located in the city of Medellin based on medical records obtained from 2013 to 2021. The clinical and demographic characteristics were analyzed using descriptive statistics. To recognize changes in the rate of increase in disability measured by the EDSS with increasing time lived with the disease, a polynomial model was used. Results: Disability measured by the EDSS was not linear over time, there were times when disability progressed more rapidly and other times when it was slower. The bivariate model showed that variables such as gait medications and botulinum toxin had the highest beta values; however, the multivariate model showed that clinical and sociodemographic variables such as initial cerebellar symptoms and sex had the highest significant beta values. Conclusion: This type of study facilitates predictions of natural history within the risk scheme. Prognostic models for chronic diseases are needed to guide management decisions and counseling of patients and their families. Such models can consider outcomes ranging from response to treatment to changes in disability.
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