Neurological complications of interatrial blocks and BayesÓ? syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Interatrial blocks (IABs) are a variety of abnormalities in the interatrial conduction. Bayes' syndrome is a clinical entity based on the association between advanced IABs and supraventricular tachyarrhythmias, being atrial fibrillation (AF) the most frequent. Due to its negative effects on left atrial electromechanical function, both IABs and Bayes' syndrome are associated with thromboembolic phenomena, causing cardiovascular and neurological complications. In regard to neurological involvement, patients with these conditions have an increased incidence of ischemic events, cognitive impairment, and dementia. These observations triggered the question whether the use of early anticoagulation therapy (before the documentation of AF) could prevent thromboembolic events in patients with IABs diagnosis. This review aims to summarize the most recent evidence describing the association of IABs and Bayes' syndrome with neurological events. Potential early therapeutic options to prevent these undesirable clinical consequences will be also discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it