Remedial massage therapy interventions including and excluding sternocleidomastoid, scalene, temporalis and masseter muscles for Chronic Tension Type Headaches: A case series.
Bibliographic record
Abstract
BACKGROUND: Tension-type headache (TTH) is the most prevalent primary headache type world-wide. Chronic TTH (CTTH) of >15 headache-affected days per month for > 3 months can cause considerable pain and disability. PURPOSE: This case series aimed to investigate whether massage therapy interventions were more effective when muscles of the anterior neck, jaw, and cranium were included. DESIGN: Four female clients suffering CTTH received six pre-determined massage therapy interventions, 45 minutes each, over three weeks. Case A and B (exclusion cases) received interventions addressing shoulder, posterior neck, and occiput muscles; Case C and D (inclusions cases) received interventions addressing the same areas as well as the sternocleidomastoid, scalene, temporalis, and masseter muscles. INTERVENTION: Treatment included myofascial trigger point release, neuromuscular therapy, and consideration of central sensitization mechanisms present in CTTH. OUTCOME MEASURES: Headache frequency (primary), intensity, and duration (secondary) were recorded via headache diaries for baseline measures (one week), interventions (three weeks), and a runout period (two weeks). Secondary measures also included a headache disability inventory (HDI) at baseline, intervention conclusion, and final measures. After final measures, clients received stretching education and four weeks later, a follow-up phone conversation to note subjective headache reports. RESULTS: All cases had headache frequency and HDI score reductions, while intensity and duration measures fluctuated. At final measures, exclusion Case A and both inclusion cases (C and D) had headache frequency reductions to below CTTH diagnostic criteria, clinically meaningful (> 16%) HDI score reductions, and subjectively reported continued improvements after study completion. Inclusion cases overall had greater decreases in headache frequency and HDI measures. CONCLUSION: Comparative results suggest there may be additional benefit in reducing headache frequency and disability with inclusion of anterior neck, jaw, and cranial muscles in treatment strategies of CTTH. However, limited sample size makes it difficult to rule out outliers or individual variables. Further investigation is recommended.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".