Presentation of the International Nomenclature for Congenital Heart Surgery. The long way from nomenclature to collection of validated data at the EACTS
Bibliographic record
Abstract
An International Nomenclature for Congenital Heart Surgery was officially adopted at the Annual Meeting of the EACTS in Glasgow, UK on September 6, 1999. This nomenclature was achieved following 1 year's work of the International Nomenclature and Data Base Committee for Congenital Heart Surgery of the Society of Thoracic Surgeons. This international group included members from the STS, AATS, AHA and EACTS and associated surgeons and cardiologists from United States, Canada, Australia and Europe. The Nomenclature includes a minimal data set of 21 items and lists of 150 diagnoses, 200 procedures, 32 complications and 28 extra cardiac anomalies and preoperative risk factors. It will serve as a basis for the Pediatric European Cardiac Surgical Registry (http://www.pediatric. ecsur.org). The outcome of such an International Nomenclature represents an important event for the medical community in charge of treating patients with congenital heart diseases. It will allow scientific exchanges on an international scale and promote multicenter evaluation of congenital heart surgery. Nevertheless, this Nomenclature is only the first step. Further collection of validated data at the Pediatric ECSUR Data Base requires ethical belief, time consumption and financial resources. Comparison of results, according to pathologies, across centers and countries will help define, in the future, official European standards of Quality of Care available for health care organizations, public scrutiny and governmental agencies.
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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 | 0.038 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".