Disability in migraine: Multicountry results from the Chronic Migraine Epidemiology and Outcomes – International (CaMEO-I) Study
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: Few studies of migraine have evaluated migraine disability across multiple countries using the same methodology. METHODS: This cross-sectional, web-based survey was conducted in 2021-2022 in Canada, France, Germany, Japan, UK and USA. Respondents with migraine were identified based on modified International Classification of Headache Disorders, 3rd edition, criteria. Headache features (Migraine Symptom Severity Score (MSSS, range: 0-21), presence of allodynia (Allodynia Symptom Checklist, ASC-12)) and migraine burden (Patient Health Questionnaire-4 (PHQ-4), Migraine-Specific Quality of Life questionnaire version 2.1 (MSQ v2.1), Work Productivity and Activity Impairment (WPAI) questionnaire) were evaluated. RESULTS: Among 14,492 respondents with migraine across countries, the mean ± SD MSSS was 15.4 ± 3.2 and 48.5% (7026/14,492) of respondents had allodynia based on ASC-12. Of all respondents living with migraine, 35.5% (5146/14,492) reported moderate to severe anxiety and/or depression symptoms. Mean ± SD MSQ v2.1 Role Function-Restrictive, Role Function-Preventive and Emotional Function domain scores were 60.7 ± 22.9, 71.5 ± 23.0 and 65.1 ± 27.2, respectively. The WPAI mean ± SD percentages of respondents who missed work or worked impaired as a result of migraine were 6.8 ± 18.1% and 41.0 ± 30.1%, respectively. CONCLUSIONS: For every country surveyed, migraine was associated with high levels of symptom severity, with allodynia and with substantial burden.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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