The premonitory phase of migraine and migraine management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The objective was to determine, through a literature review, whether treatment during the premonitory phase of migraine is a potentially useful migraine management strategy. METHODS: A general literature review was done with regard to the nature of migraine premonitory symptoms, their frequency, their reliability in predicting migraine attacks, and the effectiveness of medication treatment when given during the premonitory phase. RESULTS: Many different symptoms have been reported as premonitory symptoms that occur before migraine attacks. Up to 87% of patients with migraine may experience premonitory symptoms, although some studies have provided estimates as low as 33%. In selected patients, premonitory symptoms may be relatively reliable predictors of a migraine attack to follow. Both naratriptan (open-label study) and domperidone (double-blind, randomized, placebo-controlled study) have been reported to be effective when given during the premonitory phase. CONCLUSIONS: More research is needed, but there is some evidence that medication treatment during the premonitory phase has the potential to be helpful in selected patients with migraine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.000 | 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 it