Clinical research on Biqi Capsule and cervical traction combined treatment on cervical spondylotic radiculopathy
Bibliographic record
Abstract
Objective:To observe the clinical effects of Biqi Capsule and cervical traction combined treatment on cervical spondylotic radiculopathy.Methods:Fifty-six patients were sperated into two groups.Two groups were both treated by Tuina and cervical traction.The treatment group were given Biqi Capsule 1.2g every time by oral medication,and the control group were given Diclofenac Sodium Tablets 75 mg every time by oral medication.The course of treatment was 14 days.Simple McGill pain scale were used to evaluate the radicular pain improvement,and the cervical spondylotic radiculopathy symptoms quantitative table were used to evaluate the improvement of symptoms and signs and calculate cure rate and symptoms disappearance time.Results:The McGill pain integral,symptom effect rate and cure rate in the treatment group were significantly better than the control group(P0.05).The symptom disappearance time in the treatment group was significantly shorter than the control group(P0.05).Conclusion:Biqi Capsule and cervical traction combined treatment on cervical spondylotic radiculopathy has an exact effect.
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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 | 0.001 | 0.001 |
| 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) | 0.004 | 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".