Current state of the art for use of pacemakers and defibrillators in patients with congenital cardiac malformations
Bibliographic record
Abstract
As patients with congenital cardiac malformations increasingly survive therapeutic interventions, and our understanding of primary electrical diseases increases, the landscape of paediatric and congenital electrophysiology is expanding. Electrophysiologic abnormalities, both tachycardic and bradycardic, are commonly seen in post-operative patients with congenital cardiac disease, as well as being part of the natural history of congenital malformations and cardiomyopathies. Disturbances of rhythm represent an increasing morbidity in this population, and therapies using devices in the form of pacemakers and implantable cardioverter-defibrillators have taken on a correspondingly important role. In this review, we discuss some of the key features and recent advances in pacing for bradycardia, resynchronization pacing, anti-tachycardia pacing, and use of implantable cardioverter-defibrillators.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| 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) | 0.005 | 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".