The correlation Between Vitamin D Metabolite Levels With Relapse Rate And Disability In Multiple Sclerosis
Bibliographic record
Abstract
Background: Multiple sclerosis is a major cause of disability in young adults. Vitamin D is a potent immunomodulator and the protective effect of Vitamin D on multiple sclerosis is supported by the reduced risk associated with sun exposure and use of Vitamin D supplements. Moreover, high circulating levels of Vitamin D have been associated with lower risk of multiple sclerosis. Objectives : The aim of this study is to clarify the relationship between vitamin D metabolite level and disability and relapse rate in multiple sclerosis . Methods: Fifty four Multiple sclerosis patients fulfilling McDonald's criteria and 70 controls matched in age, sex and same geographical areas,35 (64.8 %) patients were with relapsing remitting type,9 (16.6 %) patients were primary progressive type and 10 (18.6 %) patients were secondary progressive type. For the control group, 28 of them were with non-MS demyelinated neurological diseases including 18 with chronic inflammatory demyelinating polyneuropathy, 6 were Gillian Barrie syndrome and 4 were acute demyelinating encephalomyelitis, and the remaining forty two were apparently healthy controls. All multiple sclerosis patients and controls are subjected to assessment of 25(OH) D serum level by RIA. Results: very high statistically significant difference between patients and controls, also very high statistically significant negative correlation in all patients, and disability and relapse rate . Conclusion: There is an important role of vitamin D in outcome of multiple sclerosis and the relapsing rate of the relapsing remitting type Keywords: multiple sclerosis,vitamin D,relapse,disability
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".