Serum Homocysteine Level in Patients with Cerebral Venous Sinus Thrombosis (CVST): Relation to Initial Thrombosis Severity and Outcome
Bibliographic record
Abstract
Serum Homocysteine elevation, has been observed in some cerebral vinous sinus thrombosis patients. There is a complex overlap between homocysteine level and cerebrovascular disease, and the cause and significance of homocysteine rise in cerebral vinous sinus thrombosis are still controversial.To detect serum homocysteine level in patients with cerebral venous sinus thrombosis and its impact on its severity, short term outcome, size of thrombosis. In this case control study, sixteen patients of CVST (13 males & 3 females) and 35 matched control subjects were recruited for this study. Serum homocysteine level was estimated by Enzyme-Linked Immunosorbent Assay (ELISA). Assessment of severity of thrombosis was done based on Canadian Neurological Scale. Assessment of outcome on discharge was done based on Barthel index score. In this study serum homocysteine level was raised in Cerebral Vinous Sinus Thrombosis cases when compared to controls on admission. The mean and standard deviation of homocysteine were 42.5 ± 54.2μmol/l in cases with significant p value of < 0.05. Cases with high homocysteine levels had low severity scores, which indicate poor prognosis. Homocyteine elevation in cerebral vinous sinus thrombosis (CVST) patients was associated with CT changes, severe thrombosis, large thrombus size and bad outcome.
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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 | 0.000 | 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 | 0.000 | 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 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".