Study of Additive Effect of Yoga and Physical Therapies to Standard Pharmacologic Treatment in Migraine
Bibliographic record
Abstract
Abstract Objective We aimed to evaluate and compare the effectiveness of physical and yoga therapies as an adjuvant therapy along with standard pharmacologic treatment in patients with migraine. Materials and Methods A total of 61 consenting patients diagnosed to have migraine were randomized into three groups to receive either standard treatment alone, physical therapy along with standard treatment, or yoga therapy along with standard treatment. The respective adjuvant intervention was taught to the respective group of patients and they were advised to perform it daily for 3 months with weekly telephonic reminders and review of their activity logs. Outcome measures assessed were headache frequency, Short-Form McGill Pain Questionnaire (SF-MPQ), and Headache Impact Test-6 (HIT-6) at recruitment and once every month for 3 months. Statistical Analysis Statistical analysis of the study was done by using Stata 14.1 software. All the descriptive statistics, paired t-test was used to compare the difference between pre and postintervention values of headache frequency, SF-MPQ, and HIT-6 score within all the three groups. Analysis of variance test and post hoc test were used to compare the differences between all groups for outcome measures (p < 0.05). Results Headache frequency and the visual analog scale before intervention compared during each month intervals for 3 months in all the three groups were significantly decreased in all the three groups (p < 0.005). Yoga or physical therapy as an adjuvant to standard treatment leads to a higher reduction in headache frequency and severity. Sensory and affective pain ratings of SF-MPQ and HIT-6 also showed a significant improvement at 1 to 3 months of treatment compared with baseline in all the three groups. Conclusion Either physical or yoga therapy as an adjuvant to standard pharmacologic treatment may further improve the quality of life and reduce headache frequency in patients with migraine.
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".