ArticleNeurology2018
Clinical biomarkers differentiate myelitis from vascular and other causes of myelopathy.
Article in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.
- Thrombolysis in spinal cord infarction: Case report and systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Pooled it
- Exploratory analysis of predictive models in the field of myelitis: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Pediatric Spinal Cord Stroke: Clinical Presentation, MRI Features, and Suspected Mechanisms.Neurology. Clinical practice · 2026Article
- Routine Laboratory Parameters in the Differentiation of Spinal Cord Infarction and Seronegative Acute Myelitis: A Retrospective Study.Journal of clinical medicine · 2026Article
- Anti-CD320 Autoantibodies and Central Nervous System Vitamin B12 Deficiency in Idiopathic Myelopathy.JAMA neurology · 2026Article
- Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study.Annals of clinical and translational neurology · 2026Observational
- Incidence, Etiology, and Long-Term Outcome of Acute Myelitis in Stockholm County, Sweden: A Population-Based Study.Neurology(R) neuroimmunology & neuroinflammation · 2025Article
- A case report of acute idiopathic longitudinal extensive transverse myelitis.Turkish journal of physical medicine and rehabilitation · 2025Article
- Spinal Cord Infarction: Clinical and Neuroradiological Clues of a Rare Stroke Subtype.Journal of clinical medicine · 2025Review
- "Lupus Myelitis" Revisited: A Retrospective Single-Center Study of Myelitis Associated With Rheumatologic Disease.Neurology(R) neuroimmunology & neuroinflammation · 2025Article
- Development and validation of a predictive model for acute myelitis secondary to hyperextension-induced spinal cord injury in pediatric patients.Frontiers in neurology · 2025Article
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- It Looks Like a Spinal Cord Tumor but It Is Not.Cancers · 2024Review
- Immune-Mediated Myelopathies.Continuum (Minneapolis, Minn.) · 2024Article
- Spinal cord infarction: A systematic review and meta-analysis of patient's characteristics, diagnosis accuracy, management, and outcome.Surgical neurology international · 2024Review
- Long-term Outcomes After Periprocedural and Spontaneous Spinal Cord Infarctions: A Population-Based Cohort Study.Neurology · 2023Article
- [Infections of the spinal cord and adjacent structures].Der Nervenarzt · 2023Review
- Non-traumatic acute myelopathies: Clinical and imaging features in a real world emergency setting.The neuroradiology journal · 2022Article
- Potential biomarkers of spinal dural arteriovenous fistula: C4BPA and C1QA.Journal of neuroinflammation · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the predictive value of the initial clinical and paraclinical features in the differentiation of inflammatory myelopathies from other causes of myelopathy in patients with initial diagnosis of transverse myelitis (TM).
methodsWe analyzed the clinical presentation, spinal cord MRI, and CSF features in a cohort of 457 patients referred to a specialized myelopathy center with the presumptive diagnosis of TM. After evaluation, the myelopathies were classified as inflammatory, ischemic/stroke, arteriovenous malformations/fistulas, spondylotic, or other. A multivariable logistic regression model was used to determine characteristics associated with the final diagnosis and predictors that would improve classification accuracy.
resultsOut of 457 patients referred as TM, only 247 (54%) were confirmed as inflammatory; the remaining 46% were diagnosed as vascular (20%), spondylotic (8%), or other myelopathy (18%). Our predictive model identified the temporal profile of symptom presentation (hyperacute <6 hours, acute 6-48 hours, subacute 48 hours-21 days, chronic >21 days), initial motor examination, and MRI lesion distribution as characteristics that improve the correct classification rate of myelopathies from 67% to 87% (multinomial area under the curve increased from 0.32 to 0.67), compared to only considering CSF pleocytosis and MRI gadolinium enhancement. Of all predictors, the temporal profile of symptoms contributed the most to the increased discriminatory power.
conclusionsThe temporal profile of symptoms serves as a clinical biomarker in the differential diagnosis of TM. The establishment of a definite diagnosis in TM requires a critical analysis of the MRI and CSF characteristics to rule out non-inflammatory causes of myelopathy. CLASSIFICATION OF EVIDENCE: This study provides Class IV evidence that for patients presenting with myelopathy, temporal profile of symptoms, initial motor examination, and MRI lesion distribution distinguish those with inflammatory myelopathies from those with other causes of myelopathy.
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