Bibliographic record
Abstract
目的：运用简化McGill量表评定“项八针”法对神经根型颈椎病疼痛的影响。方法：60例神经根型颈椎病患者随机分为治疗组和对照组，每组30例。治疗组采用“项八针”法针刺治疗，对照组采用牵引疗法治疗，两组每周均治疗3次，1周为1个疗程，共治疗2个疗程。分别于治疗前、治疗1个疗程后及治疗2个疗程后运用简化McGill疼痛量表对疗效进行评估。结果：两组治疗1个疗程后、治疗2个疗程后的PRI感觉项、PRI情感项、PRI总分、VAS以及PPI评分均较治疗前明显降低，具有高度显著差异（ P＜0．01）；治疗1个疗程后，治疗组的PRI情感项及PPI评分改善率较对照组明显升高，具有显著差异（ P＜0．05），治疗组的PRI感觉项、PRI总分及VAS改善率较对照组明显升高，具有高度显著差异（P＜0．01）；治疗2个疗程后，治疗组的PPI评分改善率较对照组明显升高，具有显著差异（P＜0．05），治疗组的PRI感觉项、PRI情感项、PRI总分及VAS改善率较对照组明显升高，具有高度显著差异（ P＜0．01）。结论：“项八针”能明显减轻神经根型颈椎病患者的颈痛程度，缓解患者的负面情绪，临床治疗作用优于牵引疗法。
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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 | 0.004 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.020 |
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; both teacher heads agree on what is shown here.
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".