Canadian Headache Society Guideline: Acute Drug Therapy for Migraine Headache
Bibliographic record
Abstract
OBJECTIVES: The primary objective of this guideline is to assist the practitioner in choosing an appropriate acute medication for an individual with migraine, based on current evidence in the medical literature and expert consensus. It is focused on patients with episodic migraine ( headache on ≤ 14 days a month). METHODS: A detailed search strategy was used to find a relevant meta-analyses, systematic reviews and randomized double-blind controlled trials. Recommendations were graded with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group, using a consensus group. In addition, a general literature review and expert consensus were used for aspects of acute therapy for which randomized controlled trials were not available. RESULTS: Twelve acute medications received a strong recommendation for use in acute migraine therapy (almotriptan, eletriptan, frovatriptan, naratriptan, rizatriptan, sumatriptan, zomitriptan, ASA, ibuprofen, naproxen sodium, diclofenac potassium, and acetaminophen). Four received a weak recommendation for use (dihydroergotamine, ergotamine, codeine-containing combination analgesics, and tramadol- containing medications). Three of these were NOT recommended for routine use (ergotamine and codeine- and tramadol- containing medications). Strong recommendations were made to avoid use of butorphanol and butalbital- containing medications. Metoclopramide and domperidone were strongly recommended for use when necessary. Our analysis also resulted in the formulation of eight general acute migraine management strategies. These were grouped into: 1) two mild-moderate attack strategies, 2) two moderate-severe attack or NSAID failure strategies, 3) three refractory migraine strategies, and 4) a vasoconstrictor unresponsive-contraindicated strategy. Additional were developed for menstrual migraine during pregnancy, and migraine during lactation. CONCLUSION: This guideline provides evidence-based advice on acute pharmacological migraine therapy, and should be helpful to both health professionals and patients, The available medications have been organized into a series of strategies based on patient clinical features. These strategies may help practitioners make appropriate acute medication choices for patients with migraine.
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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 | 0.007 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".