Abstract WP191: Framingham Stroke Risk Score and Stroke Mortality Among Canadian Adults
Bibliographic record
Abstract
Background: Stroke is a leading cause of mortality among Canadian adults. There is currently very little information on the utility of stroke prediction algorithms for the Canadian population. The purpose of this study was to determine if the Framingham stroke risk prediction model (D’Agostino et al. Stroke 1994;25:40-43) was associated with stroke mortality in a population-based sample of Canadian adults. Methods: The sample included 3,163 adults 55-74 y of age who participated in the Canadian Heart Health Surveys (1986-95) and were free from stroke at baseline. The analysis includes all deaths that occurred between baseline data collection and December, 2004. A modified Framingham Stroke Score was assigned to each participant at baseline based on their age, sex, treated or untreated systolic blood pressure levels, diabetes, smoking, and history of cardiovascular disease. Data on history of atrial fibrillation and left ventricular hypertrophy were not available. Hazard ratios for all-cause and stroke mortality were estimated using Cox proportional hazards regression with exam year as a covariate, and multivariable models also included body mass index, alcohol consumption and education level as covariates. Results: There were 915 deaths (70 from stroke) over 12.2 y (0.5 to 16 y) of follow-up. The hazard ratios (95% C.I.) for all-cause mortality associated with the Framingham Stroke Score were 1.12 (1.10 - 1.15) in men and 1.18 (1.15 - 1.22) in women. The hazard ratios for stroke mortality were 1.15 (1.06 - 1.25) in men and 1.22 (1.11 - 1.36) in women. When comparing men and women with scores greater than 8 and 9, respectively (median) to those with lower scores, the hazard ratios were 2.34 (1.20 - 4.58) in men and 4.81 (1.85 - 12.50) in women. The additional inclusion of body mass index, alcohol consumption and education to the models did not appreciably change the results. Conclusions: The Framingham Stroke Score is a significant predictor of all-cause and stroke mortality in Canadian adults, and the risk is independent of body mass index, alcohol consumption and education level.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".