Modern approaches to diagnostics and treatment of migraine in children
Bibliographic record
Abstract
This article reviews modern approaches to diagnostics and treatment of a very common and simultaneously underestimated and often maltreated disorder in children. It is fallacious management of migraine masked behind the diagnoses such as autonomic vessel dysfunction and vascular headache here in Ukraine. This is a tremendous problem and it should be solved with appropriate information spread across the medical community.
 Up-to-date classification according to the International Headache Society, diagnostic criteria, differential diagnosis, investigation and treatment strategies are presented in the article. All supported data are com-pliant with guidelines of developed countries with evidence-based medicine (US, Canada, Great Britain, Japan, Australia, New Zealand) enhanced with new trials and approved methods. Migraine management is a rapidly evolving concept, where major changes were done during recent years (transcranial Deep Brain Stimulation, vagus stimulation, CGRP-receptor mono-clonal antibodies).
 Considering disorder incidence and its impact on life quality and the existence of options for alleviating symptoms, this information is important for physicians who work with children, especially for general practitioners, pediatrics, pediatric and adult neurologists.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".