Clinical effect and changes of ET-1, FMD and NO levels in the treatment of acute cerebral infarction with acanthopanax injection.
Bibliographic record
Abstract
OBJECTIVE: To explore clinical efficacy of acanthopanax injection for the treatment of acute cerebral infarction and its effect on the changes in endothelin-1 (ET-1), flow-mediated vasodilation (FMD) and nitric oxide (NO) levels. METHODS: A total of 120 patients with acute cerebral infarction were selected for prospective study. The patients with conventional treatment regimen were the control group while the observation group was treated acanthopanax injection in addition to the treatment given to the control group. Both groups contained 60 patients. After 14 days of treatment, we observed the clinical effects and measured ET-1, NO, FMD, serum C-reactive protein (CRP), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), National Institute of Health stroke scale (NIHSS), Mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) in both groups. RESULTS: The total effective rate of the observation group was higher than that of the control group (P=0.020). The improvement of ET-1, FMD, NO, CRP, TNF-α and IL-6 in the observation group was superior to that of the control group (P<0.05). The scores of NIHSS, MMSE and MoCA in the observation group were better than those of the control group (P<0.05). CONCLUSION: The treatment of acute cerebral infarction with acanthopanax injection may enhance the clinical efficacy, improve vascular endothelial function, reduce inflammation and nerve damage, and improve cognitive function.
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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".