Effect of High-voltage Electrostatic Therapy on Chronic Migraine:a Randomized Controlled Observation
Bibliographic record
Abstract
Objective To investigate the effect of high-voltage electrostatic therapy on chronic migraine.Methods 86 cases who met inclusion criteria were randomly divided into two groups: high-voltage group(n=43) was treated with high-voltage therapeutic device for 20 d.Control group(n=43) was blank control.The recovered cases were followed up for 4 weeks after cessation of treatment.They were assessed with McGill Pain Questionnaire(MPQ),and their results of laboratory tests were recorded before and after treatment.The data set analyzed included Intention-To-Treat,and per protocol.Results The differences between 2 groups were statistically significant in Pain Rating Index,Visual Analog Score and Present Pain Intensity after treatment(P0.05).6 patients in the treatment group and 1 patient in the control group recovered.During the 4-week follow-up,1 case recured in each group,the intensity of pain was not statistically significant.There was no difference in the laboratory indice of blood,urine,stool routine,liver and kidney function(ALT,BUN,Cr) and ECG in both groups before and after treatment.Conclusion The high-voltage electrostatic therapy is effective and safe on chronic migraine.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".