Cerebral sinovenous thrombosis in children: clinical presentation, locations, and acquired and inherited prothrombotic risk factors
Bibliographic record
Abstract
BACKGROUND: Cerebral sinovenous thrombosis (CSVT) in children is a rare and life-threatening cerebrovascular disease. Hence, we evaluated its clinical presentations, inherited and acquired prothrombotic risk factors along with the accompanying diseases, the thrombosis locations as well as the outcomes of anticoagulant therapy in children with CSVT. METHODS: The medical records of pediatric CSVT patients treated between January 2011 and September 2018 were analyzed retrospectively. RESULTS: The study included 29 children, 15 boys (51.7%) and 14 girls (48.3%), with the median age being 11 years (range:3 days-17 years). The most commonly presented complaint in neonates was seizures and in the non-neonatal age groups was a headache. Also, at least one acquired and/or inherited thrombophilic risk factor was identified in 89.7% of the patients. The most commonly acquired prothrombotic risk factors along with the accompanying diseases included infections, central venous catheter, and dehydration, while the most commonly inherited thrombophilic risk factors included heterozygous factor-V Leiden mutation and elevated lipoprotein (a). The most common thrombosis location was found to be the transverse sinus. Also, none of the patients died due to the thrombotic episode. Complications included epilepsy in five patients, hydrocephalus in one patient, and intracranial hypertension in another patient. CONCLUSIONS: Clinicians need to be well aware of the inherited and acquired prothrombotic risk factors in CSVT. It should also be kept in mind that at-risk patients may also present with nonspecific signs and symptoms with no apparent neurological manifestation. The risk of acute complications and long-term sequelae can be substantially reduced if diagnosed early and initiated with appropriate treatment at the early stages.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".