International Incidence and Outcomes of Biliary Atresia
Bibliographic record
Abstract
OBJECTIVES: International trends in incidence and outcomes of biliary atresia (BA) are controversial and a wide range of estimates have been reported worldwide. We reviewed the population-based literature to assess international variation of BA incidence and outcomes, and to assess the evidence for seasonal variation in incidence, centralization of Kasai hepatoportoenterostomy, and newborn screening. METHODS: We conducted a systematic review (registration number CRD42011001441) of observational or interventional research within MEDLINE, EMBASE, and the Cochrane Database, which reported incidence, prevalence, or outcomes of infants with BA. Population-based studies, defined by inclusion of an entire population or representative sample, were included. Outcomes included overall survival, native liver survival (NLS), and time to Kasai hepatoportoenterostomy. Single- or multicenter studies were excluded unless those centers captured all potential patients within a jurisdiction. Two independent data extractors reviewed the abstracts and articles. RESULTS: A total of 40 studies were included following review of 3128 references. A wide range of incidence was reported internationally. Ten-year overall survival ranged from 66.7% to 89%. NLS ranged from 20.3% to 75.8% at 1 to 3 years and 24% to 52.8% at 10 years. Earlier age at Kasai was a predictor of improved NLS. Seasonality was reported in 11 studies, and 3 reported an increased incidence during the months of August to March. The evidence for centralization of Kasai to high-volume centers is promising but does not account for all case-mix, provider, or health system factors involved in volume-outcome relations. Stool color card screening resulted in earlier Kasai and improved NLS in Taiwan. CONCLUSIONS: Large, international studies could help fill the gaps in knowledge identified by this review.
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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 | 0.009 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".