Kasai hepatoportoenterostomy in <scp>S</scp>outh <scp>A</scp>ustralia: a case for ‘centralized decentralization’
Bibliographic record
Abstract
BACKGROUND: Recent follow-up studies have demonstrated significant improvement in overall survival as well as survival with native liver following geographic centralization of services to three centres in the UK. However, this model has not been replicated in countries with relatively low population density such as Australia and Canada. METHODS: Retrospective evaluation of all patients born with biliary atresia (BA) in South Australia from 1989 to 2010 was performed. Thirty-one patients with BA were discovered. Two patients were excluded because the initial Kasai procedure (KP) was performed interstate. Outcome parameters measured were (i) clearance of jaundice (bilirubin of less than 20 μmol/L, by 6 months); (ii) survival with native liver; and (iii) overall survival. Kaplan-Meier survival curves were plotted for both survival with native liver and overall survival. RESULTS: The incidence of BA in South Australia between 1989 and 2010 was 7.48 per 100,000 live births. Following KP, clearance of jaundice was achieved in 42.9% of patients. Five-year actuarial survival with native liver was 55.2%, and overall 5-year actuarial survival was 89.3%. CONCLUSIONS: The results of KP performed at Women's and Children's Hospital from 1989 to 2010 can be considered comparable with international benchmarks. Based on these results, we propose the creation of a 'centralized' pool of surgeons in Australia to help continue providing 'decentralized' care of BA.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".