Therapeutic effect of pre-operative tirofiban on patients with acute ischemic stroke with mechanical thrombectomy within 6–24 hours
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Bibliographic record
Abstract
Objective The objective of this study was to investigate and discuss the therapeutic effect of pre-operative tirofiban on patients with acute ischemic stroke (AIS) with mechanical thrombectomy (MT) within 6–24 h. Patients and methods We retrospectively queried our AIS database from January to November 2018, and selected 99 patients with AIS within 6–24 h and evidence of proximal large vessel occlusion who were suitable for MT. They were divided into two groups, group A (with tirofiban, n = 56) and group B (without tirofiban, n = 43), according to whether they were intravenously infused with tirofiban before MT. The baseline characteristics and outcomes of patients were subjected to statistical analysis, including age, gender and risk factors, occlusion site, the time from onset to door, time of door to puncture, baseline National Institutes of Health Stroke Scale (NIHSS), pre-operative Alberta stroke programme early CT (ASPECT) score, angioplasty/stenting, modified Rankin Scale score 0–2 at 3 months, symptomatic haemorrhage and mortality, the time of door to recanalization, endovascular procedure time, 7-day (7d) NIHSS score, and a modified treatment in cerebral infarction (m-TICI) grade of 2b or 3. All of the thrombi were analysed by histopathology. Results The differences in the time of door to recanalization, endovascular procedure time, 7d NIHSS score and the m-TICI were significantly different between groups ( P < 0.05). The other agents were not significantly different between groups ( P > 0.05 each). Histopathological analysis showed that all thrombi contained different amounts of platelets, fibrinogen, Haemamoebas and red blood cells. Conclusion The use of tirofiban before MT can shorten the procedure time and improve the recanalization rate of occluded vessels in AIS patients.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 it