P4624New onset dementia in incident atrial fibrillation. A large cohort study
Bibliographic record
Abstract
Background: Atrial fibrillation (AF) has been suggested as a risk factor for dementia. AF-related emboli might be a modifiable contributor to progressive cognitive decline. Purpose: To estimate the occurrence of new onset cognitive impairment in a population with incident non-valvular AF, and to explore the potential modifying role of oral anticoagulation. Methods: We performed a cohort study of 11,343 patients (mean age 67.9±11.2 years, 60.4% male) with incident non-valvular AF and 38,256 age- and gender-matched controls without AF identified from all patients at risk for a first diagnosis of dementia in the UK Clinical Practice Research Datalink (CPRD) (linked to hospital discharges) between 2008 and 2014. A diagnosis of dementia was defined from Read medical codes and ICD-10 codes. Dementia cases were required to have no diagnosis of Creutzfeld-Jakob, Huntington's, Parkinson's or Pick's disease in the 182 days after the dementia diagnosis. Hazard ratios (HR) for dementia diagnosis were estimated and adjusted for BMI, smoking, socioeconomic status, CHA2DS2-VASc risk score and components of the Charlson comorbidity index.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".