Development and internal validation of a predictive nomogram for early postoperative bacterial infections following liver transplantation in patients with hepatocellular carcinoma

This study developed and internally validated a nomogram for EPBI in HCC patients undergoing LT. The model demonstrates fair discriminative ability and potential clinical utility, supporting its potential for early risk stratification and targeted prevention strategies in clinical practice. External validation is required before widespread clinical implementation.

Authors

Institutions

Publication Details

Journal
Journal of Gastrointestinal Oncology
Published
2026-02-01
DOI
https://doi.org/10.21037/jgo-2025-786
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and internal validation of a predictive nomogram for early postoperative bacterial infections following liver transplantation in patients with hepatocellular carcinoma

Feng Wu, Li He, Guangming Li, Jin-Xi Wang et al.
Journal of Gastrointestinal Oncology
Hepatocellular Carcinoma Treatment and Prognosis
article

Development and internal validation of a predictive nomogram for early postoperative bacterial infections following liver transplantation in patients with hepatocellular carcinoma

Feng Wu, Li He, Guangming Li, Jin-Xi Wang, Bin-Wei Duan, Peng-Fei Cheng, Gong-Ming Zhang
article en

Abstract

This study developed and internally validated a nomogram for EPBI in HCC patients undergoing LT. The model demonstrates fair discriminative ability and potential clinical utility, supporting its potential for early risk stratification and targeted prevention strategies in clinical practice. External validation is required before widespread clinical implementation.

Journal of Gastrointestinal OncologyVol. 17(1)
Beijing YouAn Hospital (CN), Shanxi Academy of Medical Sciences (CN)
Reduced inequalities
Openalex Percentile: Top 55%
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development and internal validation of a predictive nomogram for early postoperative bacterial infections following liver transplantation in patients with hepatocellular carcinoma — Feng Wu, Li He, et al. · Journal of Gastrointestinal Oncology (2026) | TGRS Research Map | TGRS