The Spectrum of Clinical Presentation of Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder in Young Patients of Our Community
Bibliographic record
Abstract
Background Neuromyelitis optica spectrum disorder (NMOSD) is an inflammatory, demyelinating syndrome of the central nervous system (CNS) which affects the spinal cord and optic nerves. The aim of our study was to evaluate the clinical appearance of multiple sclerosis and neuromyelitis optica spectrum disease in young children in our community Materials and methods This cross-sectional study was done in the neurology departments of the Combined Military Hospital & Pak Emirates Military Hospital Rawalpindi for six months from April 2020 to September 2020. Eighty people between the ages of 18 and 45 with Guillain-Barre syndrome (GBS), multiple sclerosis (MS), and neuromyelitis optica spectrum disorder participated in this prospective research. The patient's demographic profile includes information such as age, gender, length and kind of sickness, and symptoms. The relationship of socio-demographic factors was assessed with the involvement of more than one organ system at the time of presentation. Results The final study comprised of 80 patients of whom 31 (38.5 percent) were men and 49 (61.25%) were women. Fifty-four (67.5%) patients were diagnosed with multiple sclerosis while 26 (32.5%) had neuromyelitis optica spectrum disorders. Most of the patients presented with sensory symptoms followed by visual disturbances. Twenty-nine (37%) had involvement of more than one system while 51 (63%) had involvement of only one system at the time of presentation. Female gender and having a diagnosis of multiple sclerosis had a statistically significant relationship with involvement of one than one system. Conclusions In individuals with MS and NMO, motor, sensory, and visual symptoms were often observed at the time of presentation. Involvement of one than one system at the time of presentation was fairly common among these patients and females and patients having a diagnosis of multiple sclerosis were more at risk of involvement of more than one system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".