ReviewJournal of personalized medicine2024
Challenges in Diagnosis and Therapeutic Strategies in Late-Onset Multiple Sclerosis.
Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 12 citations in OpenAlex.
- Clinical presentation, prognostic factors, and outcomes of meningoencephalitis of unknown origin in older dogs.Journal of veterinary internal medicine · 2026Article
- Comparative effectiveness of anti-CD20 therapies and S1P receptor modulators in late-onset multiple sclerosis: real-world evidence from the MSBase registry.Therapeutic advances in neurological disorders · 2026Article
- Clinical, functional and cognitive features of late-onset multiple sclerosis.Journal of neurology · 2025Article
- Anticipating Clinical Onset in Multiple Sclerosis: Challenges and Opportunities.Journal of personalized medicine · 2025Review
- Multiple sclerosis pathophysiology: a comprehensive review of genetic, environmental, and immunological drivers.Inflammopharmacology · 2025Review
- From youth to late age: a comparative analysis of clinical and demographic profiles in multiple sclerosis by age at onset.Postepy psychiatrii neurologii · 2025Article
- Presence of cortical lesions in older persons with multiple sclerosis and association with cognitive function.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Incidence of late onset multiple sclerosis in Italy: a population-based study.Scientific reports · 2024Article
- Effectiveness and Feasibility of Blood Flow Restriction Training for People with Multiple Sclerosis: A Systematic Review.Neurology international · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is a chronic inflammatory and degenerative demyelinating disease of the central nervous system of unknown etiology, which affects individuals in their early adulthood. However, nearly 5-10% of people with MS can be diagnosed at ages above 50 years old, referred to as late-onset multiple sclerosis (LOMS). Some studies have reported a distinctive presentation, clinical course, and prognosis for LOMS, implicating a different diagnostic and therapeutic approach for this population. Furthermore, similar manifestations between LOMS and other age-related conditions may lead to potential misdiagnosis and diagnostic delays, and a higher burden of multimorbidity associated with aging can further complicate the clinical picture. This review aims to explore the clinical characteristics, the disease course, and the differential diagnosis of LOMS and addresses therapeutic considerations for this population.
Indexed as
Identifiers
What 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.