Bibliographic record
Abstract
### Learning objectives Great advances in medicine, in particular surgical and interventional advances, for the treatment of cyanotic congenital heart disease (CCHD) and early detection of large septal defects, have turned cyanotic children into acyanotic survivors and revolutionised survival of these patients.w1–6 Persistence of cyanosis is the exception in patients with unrepaired or palliated CCHD (eg, tetralogy of Fallot, transposition complexes, double outlet right ventricle, univentricular hearts) or undetected septal defects with Eisenmenger physiology in western countries or in immigrants from countries where surgical repair of congenital heart disease (CHD) is not available or not affordable. Understanding the underlying anatomy, pathology and pathophysiology is fundamental for the optimal management of patients with CCHD to avoid errors and mistakes. Care for children with CCHD is the domain of paediatric cardiologists, who have to be fully integrated into a multidisciplinary team of experts caring for these cyanotic patients after their graduation from paediatric cardiology and after proper transition and transfer to adult care.w7 w8 This article addresses challenges in the management of cyanotic patients surviving into adulthood. Longevity of patients with CCHD is better than assumed, and survival into adulthood is not uncommon.1–3 w9 w10 The complication rate is usually low during the first 30 years, but complications and the attrition rate start in the third or fourth decades of their life. Complications and death can be triggered by inappropriate therapeutic measures. The most common mistakes and avoidable complications are based on poor appreciation …
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".