Safety of Abciximab injection during endovascular treatment of ruptured aneurysms
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: We aimed to determine the safety of intra-arterial Abciximab injection in the management of thromboembolic complications during endovascular treatment of ruptured cerebral aneurysms. METHODS: In a monocentric consecutive series of endovascular treatment of 783 ruptured aneurysms, 42 (5.3%) patients received Abciximab after the aneurysm was secured. Bleeding complications were registered and dichotomized as follows: new intracranial hemorrhage and peripheral bleeding. For each patient, World Federation of Neurosurgery (WFNS) subarachnoid hemorrhage (SAH) grade, shunting, and clinical outcomes in the post-operative period and at 3-6 months were recorded. RESULTS: SAH WFNS grades were as follows: grade I n = 14, grade II n = 10, grade III n = 11, grade IV n = 4, grade V n = 3. Ten patients had intracranial hematoma additionally to the SAH prior to embolization. Four patients (9.5%) presented more blood on the post-embolization CT but only one suffered a new clinically relevant intracranial hemorrhage. Two patients (4.8%) experienced significant peripheral bleeding but none were associated with long-term disabilities. Fourteen patients had a shunt installed less than 24 h prior to Abciximab injection and one less than 48 h later. At 3-6-month follow-up, 31 patients (74%) achieved a modified Rankin Scale score (mRS) of 2 or less, six patients (14%) had a mRS of 3-5, three were dead (7%), and two were lost at follow-up. CONCLUSION: When the aneurysm is secured, intra-arterial Abciximab injection is a low complication rate treatment modality for thromboembolic events during embolization of cerebral ruptured aneurysm.
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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 | 0.000 | 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) | 0.000 | 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".