The 2012 AHS/AAN Guidelines for Prevention of Episodic Migraine: A Summary and Comparison With Other Recent Clinical Practice Guidelines
Bibliographic record
Abstract
BACKGROUND: Updated guidelines for the preventive treatment of episodic migraine have been issued by the American Headache Society (AHS) and the American Academy of Neurology (AAN). We summarize key 2012 guideline recommendations and changes from previous guidelines. We review the characteristics, methods, consistency, and quality of the AHS/AAN guidelines in comparison with recently issued guidelines from other specialty societies. METHODS: To accomplish this, we reviewed the AHS/AAN guidelines and identified comparable recent guidelines through a systematic MEDLINE search. We extracted key data, and summarized and compared the key recommendations and assessed quality using the Appraisal of Guidelines Research and Evaluation-II (AGREE-II) tool. We identified 2 additional recent guidelines for migraine prevention from the Canadian Headache Society and the European Federation of Neurological Societies. All of the guidelines used structured methods to locate evidence and linked recommendations with assessment of the evidence, but they varied in the methods used to derive recommendations from that evidence. RESULTS: Overall, the 3 guidelines were consistent in their recommendations of treatments for first-line use. All rated topiramate, divalproex/sodium valproate, propranolol, and metoprolol as having the highest level of evidence. In contrast, recommendations diverged substantially for gabapentin and feverfew. The overall quality of the guidelines ranged from 2 to 6 out of 7 on the AGREE-II tool. CONCLUSION: The AHS/AAN and Canadian guidelines are recommended for use on the basis of the AGREE-II quality assessment. Recommendations for the future development of clinical practice guidelines in migraine are provided. In particular, efforts should be made to ensure that guidelines are regularly updated and that guideline developers strive to locate and incorporate unpublished clinical trial evidence.
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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 | 0.063 | 0.239 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.027 | 0.029 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".