Impact of eptinezumab on work productivity beyond reductions in monthly migraine days: post hoc analysis of the DELIVER trial
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
BACKGROUND: Eptinezumab's impact on self-reported work productivity in adults with migraine and 2‒4 prior preventive migraine treatment failures is not fully understood. METHODOLOGY: Electronic diaries captured monthly migraine days (MMDs) reported by patients enrolled in the randomized, double-blind, placebo-controlled DELIVER trial (NCT04418765). The migraine-specific Work Productivity and Activity Impairment questionnaire, administered at baseline and each monthly visit, was a secondary outcome of DELIVER and used to model changes from baseline in self-reported monthly hours of absenteeism (decreased work attendance) and presenteeism (reduced work efficiency while at work with a migraine) in Canada, as the base case. Path analysis illustrated eptinezumab's impact on work productivity beyond MMDs. RESULTS: As MMDs increased, monthly hours of absenteeism increased linearly while those of presenteeism increased quadratically. Best-fit models were improved after including an eptinezumab treatment effect, showing benefit over placebo after controlling for MMD frequency. Compared to placebo, patients treated with eptinezumab (pooled) had a modeled reduction from baseline of 7.2 h/month (absenteeism) (95% CI: -9.9, -4.5; P < 0.001) and 21.4 h/month (presenteeism) (95% CI: -26.3, -16.5; P < 0.001) over weeks 1‒24. Beyond MMD reductions, improvements in patient-identified most bothersome symptom (PI-MBS) and reductions in percent of severe migraine attacks contributed to eptinezumab's effect. CONCLUSIONS: Eptinezumab decreased absenteeism and presenteeism based on patient reports, with data highlighting the importance of considering the PI-MBS. The greater change from baseline than placebo in self-reported absenteeism and presenteeism was only partly explained by changes in MMDs, presenting a potential opportunity to decrease the cost of migraine in the workplace. TRIAL REGISTRATION: ClinicalTrials.gov (Identifier: NCT04418765); EudraCT (Identifier: 2019-004497-25).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| 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