intracranial Hemorrhage As initial Presentation of Cerebral Venous Sinus Thrombosis : a Case Series of Four Patients
Bibliographic record
Abstract
Background and Aims:Intracranial hemorrhage due to cerebral venous sinus thrombosisis an unusual initial clinical presentation and a series of 4 cases from Canada will bepresented.Methods:A retrospective study of stroke patients seen atthe William Osler Health System in Toronto, CANADA between 2014 -2018.Results:1: 43 y.o. female presented with headaches and right hemiparesis. CT and MRI/MRV showed L. parietal intra-cerebral hemorrhage and sagittal and transverse sinus thrombosis. She was treated with IV heparin and subsequent oral Warfarin but developed symptomatic left subdural hematoma which was successfully evacuated. Hypercoagulable workup was negative. Subsequent MRI/MRV showed resolution of her sinus thrombosis and received asparin only since. 2: 45 y.o. male presented with generalized seizure 10 days following a motor vehicle accident. Initial CT showed focal right frontal subarachnoid hemorrhage and subsequent MRI/MRV confirmed extensive sagittal sinus thrombosis. He was treated successfully with IV heparin and subsequent Warfarin. 3: 32 y.o. male presented with generalized seizure. CT and MRI/MRV confirmed a large right temporal lobe intra-cerebral hemorrhage and extensive right transverse sinus and straight sinus thrombosis. He was successfully treated with IV heparin followed by Rivoroxaban. 4: 41 y.o. female with acute left temporal hemorrhage and MRI/MRV showed left transverse sinus thrombosis. She was treated with IV heparin followed by Apixaban 5mg BID with a good recovery . Follow-up MRI/MRV 1 year later showed partial resolution of the transverse sinus thrombosis.Conclusions: Intracranial hemorrhage in patients with cerebral venous sinus thrombosis could be managed successfully with anticoagulation therapy and with careful clinical and neuro-imaging monitoring.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.019 | 0.010 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.024 |
| Open science | 0.008 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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; both teacher heads agree on what is shown here.
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".