P.066 The protective effect of influenza vaccination against stroke in adults
Bibliographic record
Abstract
Background: Respiratory infection can be an immediate precursor to stroke and myocardial infarction (MI). Influenza vaccination is associated with reduced risk of MI. This relationship has also been suggested for stroke although it is unclear if the effect is consistent across age and risk groups. Methods: Using administrative data in Alberta from September 2009 – December 2018 we modelled the hazard of any stroke for individuals recently exposed (< 182 days) to the influenza vaccine compared to those without recent exposure adjusted for age, sex, anticoagulant use, atrial fibrillation, COPD, diabetes, hypertension, income quintile, and rural/urban home location. Results: 4,141,209 adults (29,687,899 person-years) were included; 1,769,565 (43%) received at least one vaccination in the 10-year time span. 38,126 stroke events were recorded. Adjusted for demographics and comorbidities, recent influenza vaccination significantly reduced the hazard of stroke (HR: 0.77; 95% CI: 0.76 – 0.79). This effect persisted across all stroke subtypes and across all ages and risk profiles. Conclusions: There is a 23% reduction in hazard of stroke among those recently vaccinated against influenza compared to those who were not. Protection extended to the entire adult population and was not limited to high-risk groups only.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".