The action of ginsenoside Rg1 in patients with carotid atherosclerosis: a controlled clinical trial
Bibliographic record
Abstract
Objective This study evaluated therapeutic effects of ginsenoside Rg1 (QiShengli Tablets) in patients with carotid artery plaques, in combination with lifestyle interventions, lipid-lowering therapy. We aimed to provide novel insights into safe clinical application of ginsenoside Rg1 for managing cardiovascular and cerebrovascular diseases. Methods From January 2022 to October 2023, 106 carotid artery plaques patients Aged ≥60 and <74 were recruited from the Geriatrics Department of First People’s Hospital of Yunnan Province. All participants provided informed consent and a randomized sequence is generated by random number table method and divided into three groups. Group 1 received lifestyle interventions plus atorvastatin calcium tablets (n = 32). Group 2 received same treatment as Group 1, with the addition of Bayaspirin (n = 33). Group 3 received the same treatment as Group 2, but with Bayaspirin replaced by ginsenoside Rg1 (n = 41). This study adopted a single-blind design: by uniformly encapsulating the tablets in their original form in blind bags, the subjects took them at regular intervals and in fixed quantities There were no significant differences in baseline characteristics among the groups before treatment (P > 0.05). All patients were treated 3 months. Carotid atherosclerosis–related outcomes were assessed after treatment, and data were analyzed using SPSS 24.0. Results Carotid ultrasound revealed significant intergroup differences in plaque number and volume changes after treatment (P < 0.05). No significant intergroup differences were observed in arterial stiffness index (P > 0.05). Fibroblast growth factor 21 levels differed significantly among the groups (P < 0.05), whereas Lumican and Fibulin-1 levels did not (P > 0.05). Analysis biochemical indicators revealed significant post-treatment differences in LDL-C, TC, Hcy, IL-6, TNF-α, 25(OH)D, and insulin resistance (IR) (P < 0.05). Notably, after treatment of three groups, Montreal Cognitive Assessment (MoCA) scale score was statistically significant (P < 0.05). Conclusion Patients with carotid atherosclerotic plaques, adding ginsenoside Rg1 to standard therapy reduced the number and volume of carotid plaques. It improved quality of life, decreased specific inflammatory markers, and enhanced blood pressure control and Insulin Resistance (IR). These suggest ginsenoside Rg1 may have clinical value in the future management of carotid atherosclerosis.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".