Clinical Observation of Warming Spleen and Eliminating Dampness and Phlegm and Dredging Collaterals Therapy on Spleen and Kidney Yang Deficiency Syndrome of Diabetesperipheral Neuropathy
Bibliographic record
Abstract
Objective Observation of warming spleen and eliminating dampness and phlegm and dredging collaterals therapy on diabetic peripheral neuropathy( DPN) with spleen and kidney yang deficiency syndrome. Method 40 patients were divided randomly into 2 groups,control group received routine treatment of western medicine,treatment group received western medicine plus warming spleen and eliminating dampness and phlegmand dredging collaterals recipe,before and after treatment,TCM syndrome integral,toronto neuropathy score( TCSS),changes in glucose metabolism were observed. Result Curative effect,TCM syndrome score,TCSS score in treatment group were better than the control group,difference was statistically significant( P 0. 05),sugar metabolism changes had no significant difference between two groups( P 0. 05). Conclusion Warming spleen and eliminating dampness and phlegm and dredging collaterals can significantly improve the clinical effect of spleen kidney yang deficiency type of DPN.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".