Observational studyBMC pediatrics2023
Development and validation of a model for early diagnosis of biliary atresia.
Observational study in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- The diagnostic performance of ultrasound features for biliary atresia: a systematic review and updated meta-analysis.Pediatric surgery international · 2025Pooled it
- Comparison for the diagnostic performance of early diagnostic methods for biliary atresia: a systematic review and network meta-analysis.Pediatric surgery international · 2024Pooled it
- Ultrasonographic and serum biomarkers for diagnosis of biliary atresia.Pediatric surgery international · 2026Article
- Diagnosis of Biliary Atresia: Earlier is Better.Indian pediatrics · 2026Article
- Diagnostic value of routine biochemical markers for biliary atresia in neonates with cholestasis: a retrospective study.Translational pediatrics · 2026Article
- Development and validation of a screening model for early diagnosis of biliary atresia in neonates with cholestasis.Pediatric surgery international · 2025Article
- Development and validation of a minimally invasive diagnostic model for biliary atresia using artificial intelligence.World journal of pediatrics : WJP · 2025Article
- Ultrasound detection of biliary atresia splenic malformation syndrome from prenatal to postnatal: a case description.Quantitative imaging in medicine and surgery · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsEarly diagnosis of biliary atresia (BA), particularly distinguishing it from other causes of neonatal cholestasis (NC), is challenging. This study aimed to design and validate a predictive model for BA by using the data available at the initial presentation.
methodsInfants presenting with NC were retrospectively identified from tertiary referral hospitals and constituted the model design cohort (n = 148); others were enrolled in a prospective observational study and constituted the validation cohort (n = 21). Clinical, laboratory, and abdominal ultrasonographic features associated with BA were assessed. A prediction model was developed using logistic regression and decision tree (DT) analyses.
resultsThree predictors, namely, gamma glutamyl transpeptidase (γGT) level, triangular cord sign (TC sign), and gallbladder abnormalities, were identified as factors for diagnosing BA in multivariate logistic regression, which was used to develop the DT model. The area under the receiver operating characteristic (ROC) curve (AUC) value for the model was 0.905, which was greater than those for γGT level, TC sign, or gallbladder abnormalities alone in the prediction of BA.
conclusionA simple prediction model combining liver function and abdominal ultrasonography findings can provide a moderate and early estimate of the risk of BA in patients with NC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.