Sagittal Sinus Compression Is Associated With Neonatal Cerebral Sinovenous Thrombosis
Bibliographic record
Abstract
OBJECTIVE: Neonatal cerebral sinovenous thrombosis (CSVT) causes lifelong morbidity. Newborns frequently incur positional occipital bone compression of the superior sagittal sinus (SSS). We hypothesized that SSS compression is associated with neonatal CSVT. METHODS: Our retrospective case-control study recruited neonates with CSVT (SickKids Children's Stroke Program, January 1992-December 2006). Controls were neonates without CSVT undergoing magnetic resonance or computed tomography venography (institutional imaging database, 2002-2005) who were matched 2 per each case patient. Blinded neuroimaging review by 2 experts quantified SSS compression and head position. Effect of SSS compression on the primary outcome of CSVT was determined (logistic regression). Secondary analyses included the relationship of head position to SSS compression (t test) and group comparisons (cases versus controls, cases with and without compression) for demographic, clinical, and CSVT factors (χ² and Wilcoxon Mann-Whitney tests). RESULTS: Case (n = 55) and control (n = 90) patients had similar ages and delivery modes. SSS compression was common (cases: 43%; controls: 41%). Controlling for gender and head position, SSS compression was associated with CSVT (odds ratio: 2.5 [95% confidence interval: 1.07-5.67]). Compression was associated with greater mean (SD) angle toward head flexion (101.2 [15.0] vs 111.5 [9.7]; P < .001). Among CSVT cases, neonates with and without compression had comparable gestational age, delivery mode, risk factors, anticoagulation treatment, thrombus location, propagation, infarction, recanalization, and outcome. Many idiopathic cases had SSS compression (79%). Interrater reliability of compression measurements was high (κ = 0.87). CONCLUSIONS: Neonatal SSS compression is common, quantifiable, and associated with CSVT. Optimizing head position and/or developing devices to alleviate mechanical SSS compression may represent a novel means to improve outcomes.
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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 | 0.001 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".