Reduction of Current Migraine Headache Pain Following Neck Massage and Spinal Manipulation
Bibliographic record
Abstract
BACKGROUND: Migraine headache significantly impacts the health of individuals and of society. The application of simple physical nonpharmacological techniques could greatly reduce the therapeutic costs and side effects in acute onset of such headaches. METHODS: Ten male patients (mean age was 32.0 ± 10.59 years) with acute onset of a migraine headache according to IHS-2004 diagnostic criteria were enrolled in the study. Neck and upper thoracic spine massage and manipulation technique was performed. Headache pain intensity was assessed before and after the intervention by means of a verbal analog scale. RESULTS: Following treatment, headache pain intensity was significantly reduced compared to the pretreatment values (1.85 ± 1.11 vs. 5.80 ± 2.25, p = .005). As a percentage, this represents a mean pain reduction of 68.77% ± 18.56. No side effects were observed, and all of the patients reported satisfaction with the intervention. CONCLUSION: Our results show that the applied cervical and upper thoracic massage and manipulation technique could reduce the headache attack pain intensity in patients with migraine headaches, though further testing, including study designs that make use of control groups, is needed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".