Cross‐Sectional Echocardiographic Assessment of Atrioventricular Septal Defect: Basic Morphology and Preoperative Risk Factors
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
Accurate evaluation of an atrioventricular septal defect is readily achieved by echocardiography. A sound understanding of the basic morphology and associated lesions is key to this approach. This article first details the features that are common to all hearts with an atrioventricular septal defect, irrespective of the presence or absence of an interatrial or interventricular communication. These common features are: (1) inlet outlet disproportion; (2) absence of the atrioventricular muscular septum; (3) abnormal position of the left ventricular papillary muscles; (4) abnormal configuration of the atrioventricular valves and, (5) cleft in the left atrioventricular valve. These are all predicated by a sprung atrioventricular junction. Second, is a detailed outline of the associated risk factors that must be identified by the echocardiographer prior to presenting the patient for surgical management, with the most important ones being abnormalities of the left atrioventricular valve and left ventricular outflow tract obstruction. Indeed, in this current era it is rarely necessary to perform other investigations prior to surgical repair.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.014 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it