Galcanezumab: a humanized monoclonal antibody for the prevention ofmigraine and cluster headache
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
Migraine is a common, painful and highly disabling neurological condition that has plagued mankind for millennia, but its pathophysiology remained largely obscure until recently. The clinical success of triptans for treating migraine and the discovery that calcitonin gene-related peptide (CGRP) plays a prominent role in migraine led to increased research interest into this disease. An important improvement has been the development of monoclonal antibodies, including galcanezumab, that bind to CGRP or to its receptor, preventing its activation. Subsequent clinical trials have reported that galcanezumab is safe and well tolerated, and is effective in reducing the frequency of migraine attacks in patients with episodic or chronic migraine. At the same time, increased study of the pathophysiology of cluster headache, a relatively rare condition with excruciatingly painful headache attacks (i.e., "suicide headaches"), led to the discovery that, as in migraine, CGRP plays an important role in its pathology. Clinical trials suggest that galcanezumab is safe and effective for the prevention of episodic cluster headache, and it is under study for chronic cluster headache. Galcanezumab is approved for the prevention of migraine in the U.S., the European Union, Canada and Mexico, and was also approved for the treatment of episodic cluster headache in the U.S.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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