Cerebral amyloid angiopathy, cerebral microbleeds and implications for anticoagulation decisions: The need for a balanced approach
Bibliographic record
Abstract
Cerebral amyloid angiopathy is a common hemorrhagic small vessel disease of the brain, often associated with high risk of spontaneous lobar intracerebral hemorrhage. When the suspicion of cerebral amyloid angiopathy is raised, clinicians are hesitant in prescribing oral anticoagulation in patients in whom it is otherwise indicated, including the case of non-valvular atrial fibrillation. This is one of the thorniest clinical dilemmas in the field currently. In this short Leading Opinion piece by an international panel of clinicians-researchers active in the field, we present our consistent approach and future outlook on oral anticoagulation post intracerebral hemorrhage and in the setting of clinical-radiologic evidence of cerebral amyloid angiopathy. We discuss recent advances and support a more balanced approach with implications for the wider neurological clinical community in regards to successful recruiting this patient population in ongoing and future randomized trials.
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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 | 0.085 | 0.178 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.016 | 0.022 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.012 | 0.023 |
| Insufficient payload (model declined to judge) | 0.005 | 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".