The use of antidepressants and the risk of chronic atrial fibrillation
Bibliographic record
Abstract
Serotonin stimulation of the 5HT4 receptor might be responsible for an increased risk of atrial fibrillation (AF). Thus, we assessed whether the use of antidepressants (ADs) is associated with an increased risk of chronic AF (cAF). Using the UK Clinical Practice Research Datalink, a nested case-control analysis was conducted within a cohort of new AD users having a diagnosis of depression and/or anxiety. Cases of cAF occurring during follow-up were individually matched with up to 10 controls on age, sex, year of cohort entry, and duration of follow-up. Conditional logistic regression was used to estimate rate ratios (RRs) and 95% confidence intervals (CIs) of cAF associated with current and recent use of ADs, when compared to past use. The cohort included 116,125 new AD users, of whom 1,271 were diagnosed with cAF during follow-up (incidence rate: 1.6 per 1,000 person-years). The adjusted RR of cAF associated with current and recent use of ADs was 0.98 (95%CI: 0.86-1.12) and 1.02 (95%CI: 0.86-1.30), respectively. No association was observed when ADs were classified according to their potency in reducing serotonin reuptake. These findings suggest that exposure to ADs is not associated with an increased risk of cAF.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".