Clinical Presentation, Imaging and Treatment of Cerebral Venous Thrombosis (CVT)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cerebral venous thrombosis (CVT) is a multi-causal disorder that affects the venous aspect of the neurovascular tree and is related to certain hereditary and acquired predispositions. The incidence, clinical presentation, imaging findings and clinical outcome of CVT are therefore variable and will relate to various risk factors that are predominant in different age groups1,2,3,4. CVT can also be a part of the dynamic progression of patients with intracra-nial dural arteriovenous fistulas as well as being associated with the syndrome of pseudotu-mor cerebri. No firm treatment methods for CVT have been established. However, anticoagulation, although not completely scientifically proven, is regarded as a first line treatment4,5,6,7. On the contrary, the interventional neuroradiological procedures such as transvenous thrombolysis 8,9,10 or mechanical thrombectomy11,12 are usually reserved for patients who do not show clinical response to heparin therapy. The purpose of this article is to discuss the present knowledge of the etiology, clinical presentation, diagnosis and management of this potentially devastating disease from the perspectives of the interventional neuroradiolo-gist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it