Insertable Loop Recorder Use for Detection of Intermittent Arrhythmias
Bibliographic record
Abstract
The advent of prolonged monitoring with the implanted loop recorders has revolutionized the quest for detection of elusive infrequent arrhythmias in patients with unexplained syncope. The capability of prolonged monitoring has permitted us to obtain symptom rhythm correlation in the majority of patients suspected to have underlying infrequent arrhythmia. The implanted loop recorder is easily implanted in the left pectoral region with a minimally invasive procedure, providing at least 14 months of continuous monitoring that is both patient and automatically activated. Several recent studies suggest that it plays a major role in patients with infrequent symptoms and suspected arrhythmia, including patients with syncope and conduction disturbances, mild to moderate underlying heart disease, and atypical epilepsy. In a randomized trial, the device was found to be cost-effective and improved diagnostic yield compared to conventional tilt and electrophysiological testing. Wider application of prolonged monitoring is ongoing, including assessment of ventricular arrhythmias, atrial fibrillation, and conduction disturbances. The implantable loop recorder is most useful in patients with infrequent unexplained syncope when noninvasive testing is negative.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".