Anticoagulant therapy in head injury‐associated cerebral sinovenous thrombosis in children
Bibliographic record
Abstract
BACKGROUND: Head injury is a risk factor for cerebral sinovenous thrombosis (CSVT) in children. Literature concerning head injury-associated CSVT (HIA-CSVT) is scarce. Data supporting safety and efficacy of anticoagulant therapy (ACT) in childhood CSVT is emerging. However, intracranial hemorrhage (ICH) occurs frequently in children with HIA-CSVT at diagnosis making initiation of ACT controversial due to the fear of worsening of ICH. PROCEDURE: We conducted a retrospective descriptive review of a consecutive cohort of children with HIA-CSVT from 1998 to 2012. RESULTS: Twenty patients (14 males, mean age 7 years) with HIA-CSVT were identified. Most (19/20 [95%]) had significant ICH at diagnosis. None received ACT at diagnosis. Fourteen (70%) were later (median 7 days post-trauma, range 2-48 days) treated with ACT due to CSVT persistence (nine) and propagation (five), despite ICH in 13. None of the treated patients, including the 13 with pre-existing ICH, had significant worsening of hemorrhage. Three (21%) treated patients had minor asymptomatic extension of their hemorrhage and further ACT was withheld. No patient died while on ACT. No patient experienced CSVT propagation on ACT. Clinical outcomes were normal (no neurologic deficits) in 5/20(25%), mild neurological deficits in 10/20(50%), and moderate-severe neurological deficits in 5/20(25%). Small sample size did not permit assessment of the effect of ACT on outcome. CONCLUSIONS: Anticoagulant therapy is safe in selected children with HIA-CSVT. ICH is not an absolute contraindication to ACT in children with HIA-CSVT.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".