A critical balance: managing coagulation in patients with glioma
Bibliographic record
Abstract
Cancer-associated thrombosis, including both arterial and venous thromboembolism (VTE), is a significant source of morbidity and mortality in patients with glioma. This risk is highest in the immediate postoperative period and is increased by chemotherapy, radiation, and corticosteroids. Systemic anticoagulation with low molecular weight heparin is the treatment of choice in both the therapeutic and prophylactic settings. However, these patients are also at risk of intracranial hemorrhage, a potentially catastrophic complication of anticoagulation, and this risk must be carefully balanced against the risk of VTE. In this review we outline the incidence, pathophysiology and management of thrombosis in patients with glioma, with a focus on clinical considerations including perioperative management, chemotherapy-induced thrombocytopenia, and end-of-life management.
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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) | 0.003 | 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".