Timing of oral anticoagulants initiation for atrial fibrillation after acute ischemic stroke: A systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Introduction: There is a longstanding clinical uncertainty regarding the optimal timing of initiating oral anticoagulants (OAC) for non-valvular atrial fibrillation following acute ischemic stroke. Current international recommendations are based on expert opinions, while significant diversity among clinicians is noted in everyday practice. Methods: We conducted an updated systematic review and meta-analysis including all available randomized-controlled clinical trials (RCTs) and observational cohort studies that investigated early versus later OAC-initiation for atrial fibrillation after acute ischemic stroke. The primary outcome was defined as the composite of ischemic and hemorrhagic events and mortality at follow-up. Secondary outcomes included the components of the composite outcome (ischemic stroke recurrence, intracranial hemorrhage, major bleeding, and all-cause mortality). Pooled estimates were calculated with random-effects model. Results: Nine studies (two RCTs and seven observational) were included comprising a total of 4946 patients with early OAC-initiation versus 4573 patients with later OAC-initiation following acute ischemic stroke. Early OAC-initiation was associated with reduced risk of the composite outcome (RR = 0.74; 95% CI:0.56–0.98; I 2 = 46%) and ischemic stroke recurrence (RR = 0.64; 95% CI:0.43–0.95; I 2 = 60%) compared to late OAC-initiation. Regarding safety outcomes, similar rates of intracranial hemorrhage (RR = 0.98; 95% CI:0.57–1.69; I 2 = 21%), major bleeding (RR = 0.78; 95% CI:0.40–1.51; I 2 = 0%), and mortality (RR = 0.94; 95% CI:0.61–1.45; I 2 = 0%) were observed. There were no subgroup differences, when RCTs and observational studies were separately evaluated. Conclusions: Early OAC-initiation in acute ischemic stroke patients with non-valvular atrial fibrillation appears to have better efficacy and a similar safety profile compared to later OAC-initiation.
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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 | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.034 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".