Localized and widespread pressure pain hypersensitivity in patients with episodic or chronic migraine: A systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: Electronic databases were searched for cross-sectional or prospective case-control studies comparing pressure pain thresholds between migraine and headache-free controls. Data were extracted by two reviewers. The risk of bias and methodological quality was assessed by Newcastle-Ottawa Quality Assessment Scale. Meta-analyses of trigeminal, extra-trigeminal (cervical spine) and remote pain-free areas were compared. Frequency of migraine and sex were taken into account. Mean differences (MD) and random effects were calculated. RESULTS: Eighteen studies were included. Patients with migraine showed lower pressure pain thresholds than headache-free controls: trigeminal (MD -71.33 kPa, 95%CI -92.14 to -50.53), cervical spine (MD -68.50 kPa, 95%CI -84.67 to -52.33), and remote pain-free (MD -62.49 kPa, 95%CI -99.52 to -25.45) areas. Differences were consistently significant for episodic migraine in all locations, but only significant in the trigeminal area for chronic migraine (MD -67.36 kOPa, 95%CI -101.31 to -33.42). Overall, women had lower pressure pain thresholds than men. The methodological quality of most studies (66.7%) was good. The results showed a high heterogeneity. CONCLUSION: This meta-analysis found low to high quality evidence showing lower pressure pain thresholds in trigeminal, extra-trigeminal, and remote pain-free areas in migraine sufferers when compared with headache-free controls. Hypersensitivity to pressure pain locally and widespread was consistently observed in episodic migraine, but locally in chronic migraine as compared to headache-free controls. Women with migraine were more sensitive than men.Registration number: https://doi.org/10.17605/OSF.IO/YJTAK.
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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 | 0.013 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.037 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".