Effect of intravenous thrombolysis with alteplase on clinical efficacy, inflammatory factors, and neurological function in patients with acute cerebral infarction
Bibliographic record
Abstract
This study aimed to explore the effect of intravenous thrombolysis with alteplase on clinical efficacy, inflammatory factors, and neurological function in patients with acute cerebral infarction. A total of 120 patients with acute cerebral infarction were divided into two groups by the random number table method, with 60 patients in each group: observation group (intravenous thrombolysis with alteplase) and control group (intravenous thrombolysis with batroxobin). The clinical efficacy after a 14-day treatment was observed. Serum C-reactive protein (CRP), tumor necrosis factor α (TNF-α), interleukin-6 (IL-6), CD62p, GMP-140, and neuron-specific enolase (NSE) were measured. Scores of National Institutes of Health Stroke Scale (NIHSS), Mini-Mental State Examination (MMSE), and Montreal Cognitive Assessment (MoCA) were determined. The total effective rate in the observation group was 81.67%, which was higher than the 61.67% in the control group (P<0.05). The improvement of inflammatory factors (CRP, TNF-α, IL-6, CD62p, GMP-140, and NSE), NIHSS, MMSE, and MoCA in the observation group was superior to that in the control group (all P<0.05). The modified Rankin scale at three months after hospital discharge in the observation group was lower than that in the control group (P<0.01). Intravenous thrombolysis with alteplase for acute cerebral infarction can enhance the clinical efficacy, alleviate inflammatory response and brain injury, and improve cognitive function, which is worthy of further clinical application and study.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".