Botox Treatment for Migraine and Chronic Daily Headache in Adolescents
Bibliographic record
Abstract
Children and adolescents experience headaches as do adults and usually present with migraine and chronic daily or tension-type headaches. As some adolescents are unable to achieve headache relief after various treatment strategies, we currently provide botulinum toxin type A (Botox) injections as a clinical treatment (off-label use) in selected cases. Botulinum toxin type A by injection has been found to be effective in the treatment of headache disorders in adults. We treated 12 adolescents (aged 14 to 18 years) with Botox injections for migraine and chronic daily headache. Six patients (all female adolescents) were in long-term treatment and received Botox in the standard "migraine" and "follow-the-pain" patterns every 3 months. Effectiveness was evaluated using pain scales and a standardized quality-of-life survey at baseline and prior to each treatment session. Duration of treatment was 3-29 months. Each patient had 9-63 (average = 42) injections per treatment. All 6 long-term patients reported improvement in headache symptoms, with decreases on pain scales and an average of 33%-75% improvement in quality of life. Two long-term patients had complete relief of headaches between injection series. Four patients had only one series of injections with good results. Two patients had no improvement and refused additional injections. Side effects were mild ptosis (n = 1), blurred vision (n = 1), hematoma at neck injection site with tingling in one arm lasting 24 hours (n = 1), and burning sensations at all injection sites which lasted 1 week (n = 1). Our group findings warrant a controlled trial evaluation of Botox because it may be an effective treatment option for certain adolescents with intractable migraine and chronic daily headaches.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".