Effects of Solitaire AB stent thrombectomy with tirofiban and butylphthalide on neurological function and inflammatory factors in acute cerebral infarction patients
Bibliographic record
Abstract
BACKGROUND: Acute cerebral infarction profoundly affects patients' neurological function and quality of life. This study explores the impact of Solitaire AB stent thrombectomy, combined with tirofiban and butylphthalide, on neurological function and inflammatory factors in patients with acute cerebral infarction. METHODS: Seventy-three eligible patients treated between 2021 and 2023 were divided into a control group (Solitaire AB stent thrombectomy) and a treatment group (Solitaire AB stent thrombectomy with tirofiban and butylphthalide). Postoperative neurological function scores and inflammatory factor levels were analyzed. RESULTS: The treatment group demonstrated a higher clinical effective rate, lower National Institutes of Health Stroke Scale scores at one day and seven days and higher Mini-Mental State Examination and Montreal Cognitive Assessment scores post-treatment. Inflammatory factor levels (Neuron Specific Enolase (NSE), S100-β, TNF-α and IL-6) were lower in the treatment group. No significant differences in adverse outcomes were observed. CONCLUSION: Solitaire AB stent thrombectomy with tirofiban and butylphthalide shows superior efficacy, improving neurological function and inflammatory factors without increasing adverse outcomes. This offers valuable insights for clinical treatment of acute cerebral infarction.
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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) | 0.001 | 0.001 |
| 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".