Three-month stroke outcome The European Registers of Stroke (EROS) Investigators
Bibliographic record
Abstract
Background: Contemporaneous data on variations in outcome after first-ever-lifetime stroke between European populations are lacking. We compared differences in case fatality rates, functional outcome, and living conditions 3 months after stroke within the European Registers of Stroke Collaboration. Methods: Population-based stroke registers were established in France (Dijon), Italy (Sesto Fiorentino), Lithuania (Kaunas), the United Kingdom (London), Spain (Menorca), and Poland (Warsaw). All patients with first-ever-lifetime stroke of all age groups from the source population (1,087,048 inhabitants) were included. Data collection took part between 2004 and 2006. The study investigated population variations in outcome at 3 months (death, institutionalization due to stroke, or Barthel Index below 12 points) using multivariable logistic regression analyses adjusted for age, sex, stroke severity, stroke subtype, and comorbidities. Results: A total of 2,034 patients with first-ever-lifetime stroke were included. Median age was 73 years, 52% were female. The mean weighted cumulative risk of death was 21.8% (95% confidence interval 20.0 to 23.6) with a 3-fold variation across populations. The weighted proportion of poor outcome was 41.3% (95% confidence interval 39.0 to 43.7) with a 2-fold variation across populations. Conclusion: More than 40% of patients had a poor outcome, defined as being dead, dependent, or institutionalized 3 months after stroke. Substantial outcome variations were found between populations that were explained by case mix variables in this analysis, yet a trend toward a higher risk of poor outcome was present in Kaunas. Neurology (R) 2011;76:159-165
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".