Cerebral Venous Sinus Thrombosis in Patients With SARS-CoV-2
Bibliographic record
Abstract
Several neurological manifestations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported, including cerebral venous sinus thrombosis (CVST). In this report, we discuss two cases of cerebral venous thrombosis in young patients with a recent SARS-CoV-2 infection and otherwise unrevealing workup. Case 1 was a 35-year-old man who was found unresponsive with urinary incontinence and vomitus on the floor. Computed tomography (CT) angiogram of the head revealed evidence of extensive venous thrombosis. Extensive workup for thrombotic disease was unrevealing and SARS-CoV-2 was detected via polymerase chain reaction. Anticoagulation was immediately initiated, and the patient made a good clinical recovery. Case 2 was a 31-year-old man who presented with severe decreased level of consciousness and was found to have extensive cerebral sinus thrombosis. Past medical history was significant for a recent SARS-CoV-2 infection diagnosed 12 days prior. The patient was treated with intravenous heparin and eventually oral anticoagulation with good clinical outcome. CVST is a potential cerebrovascular complication of SARS-CoV-2. We advise clinicians to consider this diagnosis in patients with a recent SARS-CoV-2 infection in the appropriate clinical setting. J Neurol Res. 2021;11(5):94-101 doi: https://doi.org/10.14740/jnr697
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".