Metabolic disorders in patients with vestibular migraine
Bibliographic record
Abstract
Objective: to assess vitamin D deficiency and hyperhomocysteinemia along with psychoemotional status in patients with vestibular migraine. Material and methods. The neurovestibular examination of 23 patients was performed. All patients were diagnosed with vestibular migraine in accordance with the international criteria. The levels of 25-hydroxyvitamin D and homocysteine were assessed by enzyme-linked immunosorbent assay (ELISA). The effect of dizziness on everyday life was assessed according to the Dizziness Handicap Inventory (DHI). Psychoemotional status was investigated for all patients by using the following scales: Beck depression scale, Spilber–Hanin Scale, Toronto Alexithymia Scale (TAS-26). Results. The mean level of 25-hydroxyvitamin D was 23±15 ng/ml, homocysteine – 11±3.4 μmol/L. The mean levels of situational and personal anxiety were 48.8±9 and 50.4±10.8, respectively. A correlation analysis revealed a significant positive correlation for Beck's depression parameters and DHI score (Spearman's criterion value 0.64, p=0.0016). Conclusion. The data obtained evidence about a rather frequent detection of 25-hydroxyvitamin D insufficiency and deficit among patients with vestibular migraine that requires further evaluation, including expanding patients sample and/or comparison with other groups of patients. Of significance was to find an elevated level of anxiety and a correlation between the severity of dizziness (according to DHI score) and the level of depression (based on the Beck Scale).
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".