
doi: 10.1055/s-2002-36534
pmid: 12524556
Whether neuromyelitis optica (NMO), the co-occurrence of myelitis and optic neuritis, is a variant of multiple sclerosis (MS) or a unique disease is controversial. Distinct neuropathological features and a fulminant clinical course argue in favor of NMO as a distinct disease. However, the combination of neurological impairments of myelitis and optic neuritis occurs in patients with several inflammatory disorders, including multiple sclerosis and collagen vascular diseases. NMO is also associated with certain infectious diseases. The fact that the NMO phenotype occurs in a variety of disease states suggests that NMO does not represent a specific clinical entity. To better understand NMO and its associations with recognized diseases, a systematic review of the literature using MEDLINE was conducted. The history of NMO, its nosology, associations with other diseases, and current concepts of its pathogenesis and treatment is reviewed in this article.
Adult, Male, Tropical Climate, Asia, Multiple Sclerosis, Neuromyelitis Optica, Middle Aged, Endocrine System Diseases, Diagnosis, Differential, Japan, Animals, Humans, Female
Adult, Male, Tropical Climate, Asia, Multiple Sclerosis, Neuromyelitis Optica, Middle Aged, Endocrine System Diseases, Diagnosis, Differential, Japan, Animals, Humans, Female
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 131 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
