Cervical Artery Dissections in the Vancouver General Hospital (VGH) Stroke Database: A common stroke mechanism? (P5.161)
Bibliographic record
Abstract
Background: Cervical Artery Dissection (CAD) is a relatively rare mechanism of ischemic stroke. Various hospital-based and population-based registries report incidence rates between 1.0-3.0 per 100,000 per year. Objective: To evaluate demographic features, characteristics, presentation and discharge outcome in all cervical artery dissection patients registered in the VGH stroke database. Design/Methods: A database of all patients referred to the VGH stroke service was launched in January 2014. All patients diagnosed with arterial dissection from January 1 through June 30, 2014 were included in this preliminary analysis. Demographic features, radiographic findings, management and discharge disposition were recorded. Descriptive statistics were used to summarize findings. Results: Over a 6 month period, 675 patients were referred from the emergency room and inpatient wards for stroke consultation. Among the 438 patients with TIA/Ischemic stroke, 26 were identified to have CAD (5.9[percnt], mean age 49.1 ± 15.1 years, 54[percnt] female). This included 13 patients with internal carotid artery (ICA) dissection (1 bilateral ICA) and 12 patients with vertebral artery dissection (4 bilateral vertebral arteries). One patient presented with both ICA and vertebral artery dissections. Only 1 patient was found to have an intracranial dissection. Acutely, 4 patients were treated with IV tPA. Following discharge, most were treated with either dual antiplatelets (38.5[percnt]) or aspirin alone (34.6[percnt]). The majority of patients were discharged home (73.1[percnt]) or to a rehabilitation facility (15.4[percnt]). Conclusion: In this preliminary review, we have identified 26 patients with CAD in the first 6 months of our database collection. Although these results are from a single centre, this incidence of cervical artery dissection is much higher than expected. This analysis is ongoing and we will assess race-ethnicity, presenting features and preceding history of trauma and infection.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".