Managing Migraines: Options for Acute Abortive Treatment
Bibliographic record
Abstract
Introduction Triptans, ergotamine derivatives and nonsteroidal anti-inflammatory drugs are front-line agents used in the acute abortive therapy of migraines. In this article, these medications are reviewed and a treatment algorithm suggested. Methods A comprehensive review of the literature from 1990 to 2008 was conducted using PubMed, MEDLINE and The Cochrane Library to explore the underlying pathophysiology of migraines and comparatively assess the acute and chronic treatment options available in their management. The information obtained from all literature searches was further categorized as level 1, 2 or 3 based on pre-defined peer-reviewed criteria. Conclusion: This review is able to present a relatively preliminary but practical migraine treatment algorithm. Although there is no standard universal treatment strategy to manage migraine headaches in all patients, this review has been put forth to serve as a clinical guideline to assist health professionals in deciding the most appropriate treatment for migraine 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".