Clinical Study on Primary Hypertension Early Time Kidney Harm with Zishuiqingganyin
Bibliographic record
Abstract
Objective:The observation Zishuiqingganyin to the primary hypertension early time kidney harms the patient uronephrosis function,the blood fats,target and so on blood viscosity influences,by further appraises Zishuiqingganyin the curative effect which the treatment primary hypertension early time kidney harms,discusses its function mechanism.Methods:68 examples dialectically for the hepatorenal cloudy deficiency-fire prosperous primary hypertension early time kidney harm patient,stochastically divide into the treatment group and control group each 34 examples,2 groups give the Luo river sandbank new convention treatment,treatment group Canada with Zishuiqingganyin,treatment course 2 months.Around observes 2 groups to treat the uronephrosis function,the blood fats,target and so on blood viscosity changes.Results:2 groups of blood pressure attain a designated standard,after the treatment treats the group uronephrosis function to compare the control group to reduce (P 0.05),and can improve the symptom,the correction lipin metabolism disorder,reduces the blood viscosity,moreover not good responded not obviously.Conclusion:Zishuiqingganyin to the primary hypertension early time kidney harm has the good curative effect,if its function mechanism possible improvement organism to congeal high the condition,relaxes the blood vessel smooth muscle,protects factors and so on blood vessel bast function to concern.
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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 | 0.001 | 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) | 0.002 | 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".