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Cholecystitis

Cholecystitis

Cholecystitis is inflammation of the gallbladder, most commonly caused by obstruction of the cystic duct. This blockage prevents bile from draining, leading to gallbladder distension, inflammation, and potentially serious complications. This condition may present acutely or chronically and can happen with or without gallstones.EtiologyAbout 95% of cholecystitis cases are calculous, caused by gallstones blocking the cystic duct, leading to bile accumulation and inflammation of the gallbladder...

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Updated: May 5, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Development and validation of a preoperative nomogram for predicting gallbladder adenoma.

Hanrui Shao¹, Di Zeng², Ya Zhu¹

¹Department of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Avenue, Wuhua District, Kunming, 650106, Yunnan, People's Republic of China.

Surgical Endoscopy

|January 14, 2025

Summary

This study developed a nomogram to predict gallbladder adenoma (GA) risk, differentiating it from gallbladder cholesterol polyps (GCP). The model uses simple clinical factors like blood type and age, aiding surgical decisions.

Keywords:

Gallbladder adenoma Nomogram Polypoid lesion of gallbladder Predictive model

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Area of Science:

Gastroenterology and Hepatobiliary Surgery
Surgical Oncology
Diagnostic Imaging and Radiology

Background:

Gallbladder cholesterol polyps (GCP) and gallbladder adenomas (GA) present diagnostic challenges.
Accurate preoperative differentiation is crucial for appropriate patient management and surgical planning.

Purpose of the Study:

To develop and validate a nomogram prediction model for the preoperative risk assessment of gallbladder adenoma (GA).
To identify independent clinical predictors associated with the presence of GA.

Main Methods:

Retrospective analysis of 497 patients undergoing laparoscopic cholecystectomy (LC) for suspected GCP or GA.
Data split into training (70%) and validation (30%) sets.
LASSO and Logistic regression identified risk factors; nomogram constructed and validated using ROC curves, Hosmer-Lemeshow tests, and DCA.

Main Results:

Independent predictors for GA included blood type (O), solitary lesions, sessile polyp morphology, age, and lesion diameter.
The nomogram achieved high predictive accuracy with AUCs of 0.843 (training) and 0.837 (validation).
Model validation confirmed good calibration and clinical utility.

Conclusions:

Blood type, lesion characteristics (number, morphology, diameter), and patient age are significant risk factors for GA.
The developed nomogram provides a practical tool for preoperative GA risk prediction.
This model can assist clinicians in guiding surgical decisions for gallbladder lesions.