Home‐Based Screening for Biliary Atresia Using Infant Stool Color Cards in Canada
Bibliographic record
Abstract
OBJECTIVES: Biliary atresia (BA) is a leading cause of liver failure and liver transplantation in pediatrics. BA manifests by 3 weeks of life with jaundice and pale stools. Delayed diagnosis and surgical intervention with Kasai portoenterostomy after 3 months of age is significantly associated with poor prognosis for native liver survival. A national Taiwan infant stool color card (SCC) screening program has entirely eliminated late Kasai portoenterostomy >90 days of age and improved native liver survival. A recent large-scale prospective cohort study in British Columbia, Canada, indicated that distribution of SCC on the maternity ward was feasible, led to high utilization rate, and was cost-effective. The aim of the present study was to assess the generalizability of this screening strategy in another Canadian jurisdiction with a different sociodemographic profile. METHODS: An SCC was distributed to families of newborns discharged at St Mary's Hospital Center, Montreal, Quebec. Families were instructed to monitor their infant's stool color for 21 days and then complete and mail the SCC to the study center. Phone surveys to families who did not return cards were used to estimate total card utilization rate. RESULTS: Two thousand two hundred forty-six infants were eligible for inclusion; 99.9% were enrolled. Mail SCC return rate was 63.3%. No cases of BA were identified. All of the 118 families who completed the phone survey reported that they had utilized the SCC. Conservative and optimistic estimates for total card utilization rates were 82% and 100%, respectively. CONCLUSIONS: The high enrollment and utilization rates in this screening study strongly support the feasibility of implementing a Canadian SCC screening program to improve outcomes of children with 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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".