Development and internal validation of a CatBoost–SHAP-guided nomogram for significant liver fibrosis in children with chronic hepatitis B

Yuanzhen Zhang, Tingting Wu, Yunan Chang, Xiaorong Peng, Kai Zhu, Yijing Liu, Tingting Shang, Tao Qin, Jing Zhu, Jiao Tian, Ruiqiu Zhao, Hongmei Xu · 2026

Read Development and internal validation of a CatBoost–SHAP-guided nomogram for significant liver fibrosis in children with chronic hepatitis B by Yuanzhen Zhang, Tingting Wu, Yunan Chang, Xiaorong Peng, Kai Zhu, Yijing Liu, Tingting Shang, Tao Qin, Jing Zhu, Jiao Tian, Ruiqiu Zhao, Hongmei Xu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13677468.txt.

Description

Children with chronic hepatitis B can develop serious liver scarring, yet the gold-standard test is a biopsy, too invasive to repeat. Zhang and eleven co-authors build a gentler prediction tool. From 232 children who had biopsies, they trained a learning model to pick the most telling measures. They then built a simple scoring chart, a nomogram, from just three: liver stiffness, a liver enzyme, and platelet count.

The chart identified significant scarring with good accuracy in both the building group and a held-out test group, matching the full learning model. Children classed as high risk improved on some blood measures more slowly and reached viral control later than low-risk children. The authors say the tool could guide care without repeated biopsies. They note it still needs testing in other hospitals before clinical use.

Catalog record

CREATORYuanzhen Zhang, Tingting Wu, Yunan Chang, Xiaorong Peng, Kai Zhu, Yijing Liu, Tingting Shang, Tao Qin, Jing Zhu, Jiao Tian, Ruiqiu Zhao, Hongmei Xu
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE35 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13677468

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