Remote Monitoring of Atrial High Rate Episodes in Pacemaker Patients. The Rapid Study Design
Bibliographic record
Abstract
That clinically-documented atrial fibrillation (AF) in association with a variety of elevated clinical/laboratory risk markers is associated with an increased risk of stroke is well known -- regardless of whether the AF is paroxysmal, persistent, or permanent. Moreover, data is accumulating to suggest that the absolute rate of stroke should be expectedly higher with a greater burden of AF and greater degree of comorbid contributors. Relatedly, stroke prevention with chronic oral anticoagulation (OAC) is recommended for AF patients with appropriate risk markers by all major medical, cardiologic, and surgical guideline-writing organizations. However, at least two major clinical concerns about the above AF-stroke statements remain. First, if AF is related to stroke, why then is there not a consistent temporal relationship between a stroke and AF? Second, is there importance to and what should we do about device-detected AF (so-called subclinical AF [SCAF]) in the absence of clinically-recognized AF? This paper is designed to enhance the understanding of these issues and reduce the consternation of physicians who care for patients with AF with respect to them.
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.
How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".