Chinese herbal medicine Shenzhuo Formula treatment in patients with macroalbuminuria secondary to diabetic kidney disease: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Diabetic kidney disease (DKD) is a serious complication associated with diabetes mellitus and can cause end-stage renal disease (ESRD). Traditional Chinese medicine (TCM) is widely used in China to treat DKD, and in particular microalbuminuria and macroalbuminuria. This study will address the efficacy and safety of Shenzhuo Formula (SZF), a frequently prescribed TCM, in DKD patients with macroalbuminuria. METHODS/DESIGN: This study is a 24-week, randomized, multi-center, double-blinded, double-dummy, controlled, clinical trial that will include 120 DKD patients aged 18 to 80 years old with a 24-h urinary protein (24-h UP) level of between 0.5 g and 3 g and serum creatinine (SCr) ≤ 133 μmol/L (1.5 mg/dL) and compare SZF to irbesartan. The 24-h UP change from baseline to week 24 will represent the primary endpoint with secondary endpoints including SCr, estimated glomerular filtration rate (eGFR), TCM symptoms, urinary albumin excretion rate (UAER), etc. Safety assessments will also be evaluated. DISCUSSION: This study will provide initial evidence regarding the efficacy and safety of SZF relative to irbesartan in the treatment of DKD patients with macroalbuminuria. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ID: ChiCTR-ICR-15006311 . Registered on 15 April 2015.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
| gpt | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| 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) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".