A case report of Ebstein’s anomaly–Gerbode defect dyad: is there room for another anomaly in the same patient?
Bibliographic record
Abstract
Background: Ebstein's anomaly is a rare congenital heart disease characterized by apical displacement of the septal and posterior tricuspid valve leaflets. It is commonly associated with other defects such as patent foramen ovale or accessory atrioventricular pathways. Case summary: We describe a case of an Ebstein anomaly diagnosed in an adult in his 50s in association with a septal defect between the left ventricle and right atrium (Gerbode defect). The diagnosis was confirmed on magnetic resonance imaging. A third anomaly was noted on coronary angiography, consisting of an aberrant origin of the right coronary artery from the left sinus of Valsalva. The patient was paucisymptomatic until he developed typical atrial flutter. Catheter ablation was employed after first arrhythmia recurrence and the patient is to date in good clinical condition. Conclusion: The association of Ebstein's anomaly-Gerbode defect is extremely rare, and to our knowledge, this is the first case that presents in addition an anomalous coronary artery. Both structural defects were without haemodynamic significance, and there was no proof of myocardial ischaemia. As the case illustrates, congenital disorders, even when in conjunction, can have a silent clinical course and multimodality imaging is sometimes necessary for a complete and final diagnosis.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".