Global public awareness about atrial fibrillation
Bibliographic record
Abstract
Unlabelled Box •Early recognition of atrial fibrillation helps in stroke prevention. •Survey in 10 countries to assess public awareness of atrial fibrillation. •Overall global awareness of atrial fibrillation was 48%. •Less than 46% of participants were aware atrial fibrillation leads to stroke. We thank Ipsos‐Reid for their invaluable assistance with this survey and ISTH for their support and funding.Sources of Funding: The International Society on Thrombosis and Haemostasis International Society on Thrombosis and Haemostasis Background Atrial fibrillation (AF) is an important cause of ischemic stroke that often remains undetected until stroke occurs. Awareness of the risk factors and symptoms is important so that AF can be diagnosed and thromboprophylaxis given. However, the extent of public awareness of AF is uncertain. We assessed public awareness of AF across six continents and compared it with that of other thrombotic and non‐thrombotic disorders. Methods In collaboration with Ipsos‐Reid, we conducted an internet‐based, cross‐sectional survey between September and October of 2016 in 10 countries: Argentina, Australia, Canada, Germany, Japan, Thailand, the Netherlands, Uganda, United Kingdom, and United States. Participants were selected from survey panels in weighted, age‐stratified categories (40‐60, 61‐74, and ≥75 years). The survey included 11 questions about demographics and assessed awareness about AF, as well as that of other thrombotic and non‐thrombotic disorders. Proportions and 95% confidence intervals (CI) were calculated. Results Of a total of 6312 respondents, overall awareness of AF was 48% (95% CI, 46‐50%), which was lower than awareness about other thrombotic and non‐thrombotic disorders except for deep vein thrombosis (awareness 43%, 95% CI, 41‐45%). Awareness about AF ranged from 25% to 69% across countries, while awareness of the risk factors for AF ranged from 8% to 52%, and awareness that AF leads to stroke ranged from 36% to 46%. Among those reporting awareness of AF, 82% correctly identified palpitations as an AF symptom. Conclusions Global public awareness of AF is low. Improving awareness may empower patients to seek timelier stroke preventive care.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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".