Two randomized migraine studies of galcanezumab
Bibliographic record
Abstract
Objective To evaluate changes from baseline in patient-reported outcomes for measures of functioning and disability among patients with migraine treated with galcanezumab or placebo. Methods Patients with episodic migraine (4–14 monthly migraine headache days) were treated with either galcanezumab (Evaluation of LY2951742 in the Prevention of Episodic Migraine [EVOLVE]–1: 120 mg n = 210, 240 mg n = 208; EVOLVE-2: 120 mg n = 226, 240 mg n = 220) or placebo (EVOLVE-1 n = 425; EVOLVE-2 n = 450) during 6 months of treatment. Migraine-Specific Quality of Life Questionnaire v2.1 (MSQv2.1) measured the effect of migraine on patient functioning (physical and emotional) in 3 domains, and the Migraine Disability Assessment (MIDAS) quantified headache-related disability associated with missed or reduced productivity at work or home and social events. Both were collected at baseline and during the treatment period (MSQv2.1 = monthly; MIDAS = months 3 and 6 only). Results Differences in MSQv2.1 total score least squares (LS) mean change from baseline (month 4–6) for galcanezumab (120 and 240 mg, respectively) were superior to placebo (EVOLVE-1 = 7.3 and 6.7 [both p < 0.001]; EVOLVE-2 = 8.5 and 7.3 [both p < 0.001]). Differences were similar for all domain scores (p < 0.001 for both galcanezumab doses compared with placebo), were observed as early as month 1, and were sustained for 6 months for most domains. Differences of MIDAS LS mean change from baseline (month 6) for galcanezumab (120 and 240 mg, respectively) compared with placebo were: EVOLVE-1 = −6.3 (p < 0.001) and −5.2 (p = 0.002); EVOLVE-2 = −9.2 and −8.2 (both p < 0.001). Conclusions Patients with episodic migraine treated with galcanezumab reported significant and clinically meaningful improvements in daily functioning and decreased disability compared with patients who received placebo. Classification of evidence This study provides Class II evidence that for patients with migraine, galcanezumab (120 mg or 240 mg) given once monthly improved functioning and reduced disability.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".