Characterizing neck pain during headache among people with migraine: Multicountry results from the Chronic Migraine Epidemiology and Outcomes – International (CaMEO‐I) cross‐sectional study
Bibliographic record
Abstract
OBJECTIVE: To assess the prevalence and impact of neck pain during headache among respondents with migraine in the multicountry Chronic Migraine Epidemiology and Outcomes - International (CaMEO-I) Study. BACKGROUND: Neck pain among individuals with migraine is highly prevalent and contributes to disability. METHODS: The CaMEO-I was a prospective, cross-sectional, web-based study conducted in Canada, France, Germany, Japan, United Kingdom, and the United States. A demographically representative sample of participants from each country completed a screening survey to evaluate headache characteristics. Respondents with headache were identified as having migraine or non-migraine headache based on modified International Classification of Headache Disorders, third edition, criteria; those with migraine completed a detailed survey with migraine-specific assessments. Results were stratified by the presence or absence of neck pain with headache (NPWH). For these analyses, data were pooled across the six countries. RESULTS: Of 51,969 respondents who reported headache within the past 12 months, 14,492 (27.9%) were classified as having migraine; the remaining 37,477 (72.1%) had non-migraine headache. Overall, 9896/14,492 (68.3%) of respondents with migraine headache reported NPWH, which was significantly higher (p < 0.001) than the proportion of respondents with non-migraine headache who reported NPWH (13,536/37,477 [36.1%]). Among respondents with migraine, moderate-to-severe disability was significantly more prevalent for those with NPWH versus without (47.7% [4718/9896] vs. 28.9%, p < 0.001). Respondents with NPWH versus without also had significantly greater work productivity losses, at a median (interquartile range [IQR]) of 50.0 (20.0, 71.3) vs. 30.0 (0.0, 60.0) (p < 0.001), lower quality of life (Migraine-Specific Quality of Life questionnaire version 2.1, median [IQR] Role Function-Restrictive domain score 60.0 [42.9, 74.3] vs. 68.6 [54.3, 82.9], p < 0.001), higher prevalence of depression and anxiety symptoms (depression, 40.2% [3982/9896] vs. 28.2% [1296/4596], p < 0.001); anxiety, 41.2% [4082/9896] vs. 29.2% [1343/4596], p < 0.001), higher prevalence of cutaneous allodynia during headache (54.0% [5345/9896] vs. 36.6% [1681/4596], p < 0.001), and higher prevalence of poor acute treatment optimization (61.1% [5582/9129] vs. 53.3% [2197/4122], p < 0.001). CONCLUSIONS: Nearly 70% of respondents with migraine reported NPWH. Individuals with migraine with neck pain during their headaches had greater disability, depression, anxiety, and cutaneous allodynia (during headache) than those without neck pain during their headaches. They also had diminished quality of life and work productivity, and poorer response to acute treatment compared with those without neck pain.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".