How to Apply the AHS Evidence Assessment of the Acute Treatment of Migraine in Adults to your Patient with Migraine
Bibliographic record
Abstract
The "Acute Treatment of Migraine in Adults: The American Headache Society Evidence Assessment of Migraine Pharmacotherapies" provides levels of evidence for medication efficacy for acute treatment of migraine. The goal of this companion paper is to provide guidance on how to choose between evidence-based treatment options, and, based on the clinical characteristics of the patient and their migraine attacks, to provide guidance on designing an individualized strategy for managing migraine attacks. The acute pharmacological treatments described in the American Headache Society evidence assessment can be divided into those initially taken by the patient during the headache phase of the migraine attack, those taken by the patient later in the attack when initial treatments fail, and those administered intravenously or intramuscularly in urgent care settings. Medications taken initially by patients in the headache phase include nonspecific analgesics such as acetaminophen and nonsteroidal anti-inflammatory drugs (NSAIDs), triptans, and dihydroergotamine (DHE). A stratified approach to treatment is advised, with the choice of medication based on the patient's treatment needs, taking into consideration the attack severity, presence of associated symptoms such as nausea and vomiting, and the degree of migraine-related disability. Individuals with migraine may find reassurance in having a "back-up plan" in the event of an initial acute treatment failure. For those individuals who had a partial response to the initial acute treatment, a second dose might be indicated. When the initial treatment does not provide meaningful and sustained benefits, a treatment from a different medication class is typically chosen. Depending upon the initial treatment used, this might include NSAIDs, triptans, or DHE. Opioids or acetaminophen in combination with codeine or tramadol can be considered as part of the "back-up plan," provided they are used infrequently. When all patient administered treatments have failed and moderate to severe migraine symptoms remain, some individuals seek treatment in urgent care settings. The intravenous administration of antiemetics with or without an intravenous or intramuscular NSAID or DHE, or an intramuscular opioid can be considered. Patients with migraine should be encouraged to treat migraine pain early, and avoid overuse of medications.
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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 | 0.030 | 0.207 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.010 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.033 | 0.030 |
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".