Chronic Migraine – Evolution of the Concept and Clinical Implications
Bibliographic record
Abstract
OBJECTIVE: The current definition of chronic migraine is relatively new. This definition has been field tested multiple times and has gone through multiple revisions. The evolution of the concept of migraine and its transformation to involve the category of chronic migraine is outlined. DISCUSSION: Chronic migraine as a disease was initially recognized in patients seen in headache clinics with a large burden of disability from frequent headaches and a history of prior migraines. Over time, this observation was operationalized into multiple diagnostic criteria with requirements for frequent headache days, typically 15 or more, and additionally a certain predisposition to migraine phenotype whether counted in number of headaches with migrainous features or a transformation from migraine in certain diagnostic criteria. In addition, the observation of medication overuse in this population raises a valid question - whether this is a factor for chronification versus a separate secondary headache etiology. CONCLUSION: Chronic migraine is a relatively newly recognized disease. We have an increasing number of medications studied specifically in chronic migraines, and these are briefly introduced. Additionally, there are guidelines to help design trials in chronic migraine. A valid future research question is to further study the efficacy of the medications studied in an undifferentiated migraine population, as there is economic pressure to use these medications as first line.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".