Clinical study on the effects of over time window thrombectomy and thrombolytic therapy on granulocyte colony-stimulating factor expression and postoperative brain function after acute cerebral infarction
Bibliographic record
Abstract
OBJECTIVE: This study aimed to explore the effects of thrombectomy and thrombolytic therapy beyond the standard time window on granulocyte colony-stimulating factor (G-CSF) expression and postoperative brain function in patients with acute cerebral infarction. METHODS: Sixty patients with acute cerebral infarction, who met the defined time window criteria, were randomly assigned to either the observation group (n = 30) or the control group (n = 30). The observation group underwent thrombectomy using the TREVO stent, while the control group received intravenous thrombolysis with rt-PA, a human tissue plasminogen activator. Comparative analyses between the two groups focused on G-CSF levels, NIHSS scores, MoCA scores, and the modified thrombolysis in cerebral infarction (mTICI) scale. Multivariate linear regression was performed to adjust for confounding factors including age, sex, and comorbidities. The Pearson correlation method was employed to assess the correlation between post-thrombectomy outcomes and G-CSF expression, as well as the impact on postoperative brain function. RESULTS: At 72 h and 90 days post-procedure, both groups demonstrated an increase in G-CSF levels and MoCA scores, accompanied by a decrease in NIHSS scores. Notably, the observation group exhibited significantly higher G-CSF levels and MoCA scores compared to the control group, alongside significantly lower NIHSS scores (P < 0.05). Multivariate analysis confirmed the treatment group as an independent predictor of improved outcomes (P < 0.05). The rate of successful vascular recanalization was substantially higher in the observation group (90.00%) compared to the control group (56.67%). There was a significant positive correlation between NIHSS scores, MoCA scores, mTICI, and post-thrombectomy G-CSF expression (P < 0.05). CONCLUSION: In patients with acute cerebral infarction beyond the conventional time window, the use of TREVO stent thrombectomy and recanalization is effective, resulting in marked improvements in cognitive function. Moreover, G-CSF appears to play a critical role in the pathophysiology of acute cerebral infarction, establishing a strong association between G-CSF expression and postoperative brain function in affected individuals.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".