ArticleGastroenterology research and practice2026
Risk Factors and Predictive Modeling of Occult Choledocholithiasis in Patients with Cholecystolithiasis.
Article in Gastroenterology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Risk Factors and Predictive Modeling of Occult Choledocholithiasis in Patients with Cholecystolithiasis.Gastroenterology research and practice · 2026Article
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Authors and funding
3 authors.
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Abstract
Background: Occult choledocholithiasis, if not diagnosed and treated in a timely manner, can have severe consequences. The purpose of this study is to construct a predictive model to assist in the diagnosis. Methods: A total of 988 case datasets were included. Data were analyzed using chi-square tests and multivariate logistic regression. Ultimately, a predictive model for gallstones combined with occult choledocholithiasis was constructed. Results: Multivariate logistic regression analysis revealed that age, alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), direct bilirubin (DBIL), location of gallstones, and ultrasonographic indication of common bile duct dilation are independent risk factors for gallstones combined with occult choledocholithiasis. A predictive model was constructed based on these factors: logit(P) = -5.109 + 2.007x1 + 1.175x2 + 3.479x3 + 1.412x4 + 2.199x5 + 2.473x6 (where x1-x6 represent age, location of gallstones, ultrasonographic indication of common bile duct dilation, ALT, GGT, DBIL, respectively). The model demonstrated a sensitivity of 0.839, specificity of 0.891, accuracy of 0.885, 95% CI of 0.913-0.967, and an AUC of 0.940. Conclusion: Age, ALT, GGT, DBIL, gallstone location, and sonographic common bile duct dilation constitute independent risk factors for gallstones with occult choledocholithiasis. The prediction model based on these indicators provides a valuable tool for the diagnosis of occult choledocholithiasis.
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