Declining Admission and Mortality Rates for Subarachnoid Hemorrhage in Canada Between 2004 and 2015
Bibliographic record
Abstract
Background and Purpose- The purpose of this study was to assess recent trends in the admission and mortality rates for subarachnoid hemorrhage in Canada. Methods- This retrospective cross-sectional study was based on data retrieved from the Canadian Institute for Health Information for all patients diagnosed with subarachnoid hemorrhage in Canada between 2004 and 2015. Adjusted admission rate, in-hospital mortality rates, and discharge disposition were calculated. Results- A total of 19 765 patients were diagnosed with subarachnoid hemorrhage between 2004 and 2015. The mean age was 58.1 years, and 40.3% were men. The annual hospitalization rate was 6.34 per 100 000 person-years, declining by -0.67% annually. In-hospital mortality rate was 21.5%. Conclusions- The Canadian subarachnoid hemorrhage admission and mortality rates are lower than previously reported, with a declining trend.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".