Association of maternal biliary disease with hepatopancreatobiliary morbidity in offspring
Bibliographic record
Abstract
OBJECTIVES: Maternal biliary disease is common, but the link with offspring hepatopancreatobiliary disease has not been studied. We assessed the association between maternal biliary disease and pediatric hepatopancreatobiliary morbidity. METHODS: We conducted a retrospective cohort study of 1,271,864 children born between 2006 and 2022 in Quebec, Canada. The exposure was maternal biliary disease. Offspring outcomes included congenital hepatopancreatobiliary anomalies, inborn errors of metabolism, and hepatopancreatobiliary morbidity between birth and age 17 years. We estimated adjusted risk ratios (RR) and hazard ratios (HR) with 95% confidence intervals (CI) for the association of maternal biliary disease with child outcomes. RESULTS: A total of 95,047 children (7.5%) had mothers with biliary disease. Compared with no exposure, maternal biliary disease was associated with an increased risk of bile duct defects (RR 1.67, 95% CI 1.10-2.52), liver defects (RR 1.47, 95% CI 1.05-2.06), and inborn errors of metabolism (RR 1.41, 95% CI 1.24-1.62) in offspring. Exposed children were more likely to be hospitalized for cholelithiasis, cholecystitis, or cholangitis (HR 2.58, 95% CI 2.14-3.12), acute pancreatitis (HR 1.83, 95% CI 1.38-2.43), and metabolic dysfunction-associated steatotic liver disease (HR 2.71, 95% CI 2.07-3.54). CONCLUSIONS: Maternal biliary disease is associated with hepatopancreatobiliary complications in offspring.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".