Recombinant human activated factor VII is thrombogenic in a rabbit model of cyclic flow reduction and does not reduce intra-abdominal bleeding
Bibliographic record
Abstract
Recombinant human activated factor VII (rHuFVIIa) can reduce bleeding but may be associated with arterial thrombosis. We hypothesized that rHuFVIIa would increase the occurrence of cyclic flow reductions (CFR) and reduce intra-abdominal bleeding in an experimental model. An adapted Folts' model of carotid artery lesion and stenosis was used. Twenty four rabbits were randomized to receive rHuFVIIa (group F) or placebo (group P) in a double-blind fashion. A standardized injury to the common carotid artery resulted in CFR and/or thrombosis. Hematological values, coagulation and thromboelastographic (TEG) variables were compared. Intra-abdominal bleeding was evaluated by measuring blood loss from standardized hepatosplenic lesions. The median number (range) of spontaneous CFR [group P: 6 (0-15); group F: 8 (0-16)] was comparable between groups. The number of induced CFR (by "shaking" of the artery) needed to avert thrombosis (group F: 2; group P: 0; p < 0.05) and the incidence of complete carotid artery thrombosis (group F: 3; group P: 0; p < 0.05) were higher in group F. Intra-abdominal bleeding was similar in both groups. TEG analysis demonstrated a hypercoagulable state in both groups but the magnitude of the change was statistically more important in group F. rHuFVIIa increases thrombosis in a rabbit model of carotid artery injury. The bleeding from hepatic and splenic lesions is not reduced by administration of rHuFVIIa despite a hypercoagulable state confirmed by standard TEG analysis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".