Bibliographic record
Abstract
目的 探讨中西医结合治疗原发性三叉神经痛的临床疗效.方法 102例原发性三叉神经痛患者按就诊顺序随机分为A、B、C三组,A组采用卡马西平治疗,B组采用中药治疗,C组采用中药联合西药治疗;根据简式McGill疼痛问卷评定三组患者治疗前后疼痛等级,同时观察三组患者治疗后的临床疗效.结果 治疗后,三组重度疼痛发生率分别为19.35％、11.76％和2.70％,三组疼痛症状均得到缓解,其中C疼痛缓解最明显,三组在疼痛等级上差异有统计学意义(P＜0.05).A组、B组和C组的临床有效率分别为64.52％、73.53％和86.49％,三组临床效果差异有统计学意义(x2=8.565,P＜0.05).结论 三种治疗方法均可缓解原发性三叉神经痛,其中中药联合西药组临床疗效最好。
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".