Effects of α lipoic acid combined with olmesartan medoxomil on blood glucose and oxidation indicators in patients with diabetic nephropathy
Bibliographic record
Abstract
BACKGROUND: Diabetic nephropathy (DN) is a common microvascular complication of diabetes, which poses a serious threat to the health and life of patients. There is evidence that both α lipoic acid and olmesartan medoxomil have positive effects in the treatment of DN, but whether the 2 have synergistic effects and the effects on blood glucose and oxidation indicators are controversial. METHODS: This is a prospective parallel, randomized, double-blind, placebo-controlled trial to study the effects of α lipoic acid in combination with olmesartan medoxomil on blood glucose and oxidation indicators in patients with DN. Participants will be randomly assigned to a treatment group, which will receive α lipoic acid dispersive tablets combined with olmesartan medoxomil tablets, or a control group, which will receive olmesartan medoxomil tablets combined with placebo for 4 weeks, followed up for 12 weeks. Observation indicators include: glycemic indicators [fasting blood glucose, 2 hours postprandial blood glucose and glycosylated hemoglobin], the oxidation indicators [serum glutathione, superoxide dismutase, malondialdehyde, 8-hydroxydeox-yguanosine], and adverse reactions. Finally, SPASS 22.0 software will be used for statistical analysis of the data. DISCUSSION: This study will evaluate the effects of α lipoic acid combined with olmesartan medoxomil on blood glucose and oxidation indicators in patients with DN. The results of this study will provide a reference for the clinical use of α lipoic acid combined with olmesartan medoxomil in the treatment of DN. TRIAL REGISTRATION: OSF Registration number: DOI 10.17605/OSF.IO/VJWXS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.000 | 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 teacher head, 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".