ReviewNature reviews. Neurology2017
Comorbidity in multiple sclerosis: implications for patient care.
Review in Nature reviews. Neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
117 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Measures of Comorbidities and Frailty in Multiple Sclerosis-Systematic Review on Evidence and Applicability of Utilized Scoring Systems in Clinical Routine and Real-World Data.European journal of neurology · 2025Pooled it
- Maintaining Mobility and Balance in Multiple Sclerosis: A Systematic Review Examining Potential Impact of Symptomatic Pharmacotherapy.CNS drugs · 2025Pooled it
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Randomized controlled trial of a remotely-delivered exercise training program in older adults with multiple sclerosis: Secondary effects on cognition, symptoms, and quality of life.Multiple sclerosis and related disorders · 2026Trial
- E-based physical exercise in patients with multiple sclerosis and comorbidity (COMPACT): feasibility study and protocol for a randomized controlled trial.Frontiers in immunology · 2026Trial
- Internet-delivered cognitive behavioural therapy programme to reduce depressive symptoms in patients with multiple sclerosis: a multicentre, randomised, controlled, phase 3 trial.The Lancet. Digital health · 2023Trial
- Effect of intermittent vs. daily calorie restriction on changes in weight and patient-reported outcomes in people with multiple sclerosis.Multiple sclerosis and related disorders · 2018Trial
- Towards a biologically informed description of multiple sclerosis disease course - a roadmap for transition.Nature reviews. Neurology · 2026Review
- The COMPASS-MS Study on Implementing Digital Assessment and Treatment for Psychological Distress in Patients With Multiple Sclerosis: Protocol for a Real-World Longitudinal Study.JMIR research protocols · 2026Article
- Rethinking prognosis in multiple sclerosis: a multiaxial perspective.Nature reviews. Neurology · 2026Review
- Recalibration and external validation of vascular risk calculators for multiple sclerosis: A population-based study using CPRD data in England, 1987-2023.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Smoking, Comorbidities, and Low Sun Exposure Are Associated with Clinical and Radiological Outcomes in Patients with Multiple Sclerosis-A Four-Year Observational Cohort Study.Journal of clinical medicine · 2026Article
- Patient profiles and disease characteristics of the IMSRN cohort: a multicentre study (2021-2025).The Lancet regional health. Southeast Asia · 2026Article
- Preventive strategies in neuroimmunology.Neurological research and practice · 2026Review
- Effect of late-onset on multiple sclerosis phenotype and outcome: evidence from a multi-national registry.Journal of neurology · 2026Observational
- Associations of Psychological Distress, Cognitive Function, and Physical Activity with Daily Functioning and Quality of Life Across Disability Levels in Multiple Sclerosis.Medicina (Kaunas, Lithuania) · 2026Article
- Reconsidering Rehabilitation and Lifestyle Approaches to Improve Quality of Life in People with Multiple Sclerosis: A Scoping Review.Medicina (Kaunas, Lithuania) · 2026Review
- Cladribine use for multiple sclerosis with autoimmune comorbidities: retrospective analysis of the French MS registry, case series, and therapeutic considerations.Therapeutic advances in neurological disorders · 2026Article
- Multiple sclerosis pathophysiology: a comprehensive review of genetic, environmental, and immunological drivers.Inflammopharmacology · 2025Review
- Advancing multiple sclerosis management in older adults.Nature reviews. Neurology · 2025Article
57 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most efforts aimed at understanding the notable heterogeneity of outcomes in multiple sclerosis (MS) have focused on disease-specific factors, such as symptoms at initial presentation, initial relapse rate, and age at symptom onset. These factors, however, explain relatively little of the heterogeneity of disease outcomes. Owing to the high prevalence of comorbidity in MS and the potential for its prevention or treatment, comorbidity is of rising interest as a factor that could explain the heterogeneity of outcomes. A rapidly growing body of evidence suggests that comorbidity adversely affects outcomes throughout the disease course in MS, including diagnostic delays from symptom onset, disability at diagnosis and subsequent progression, cognition, mortality, and health-related quality of life. Therefore, clinicians need to incorporate the prevention and management of comorbidity when treating patients with MS, but managing comorbidities in MS successfully may require the adoption of new collaborative models of care.
Indexed as
Identifiers
28303911What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.