A Nomogram-based Model to Predict Neoplastic Risk for Patients with Gallbladder Polyps.

ABSTRACT:

Background and aims

Gallbladder polyp (GBP) assessment aims to identify the early stages of gallbladder carcinoma. Many studies have analyzed the risk factors for malignant GBPs. In this retrospective study, we aimed to establish a more accurate predictive model for potential neoplastic polyps in patients with GBPs.

Methods

We developed a nomogram-based model in a training cohort of 233 GBP patients. Clinical information, ultrasonographic findings, and blood test findings were analyzed. Mann-Whitney U test and multivariate logistic regression analyses were used to identify independent predictors and establish the nomogram model. An internal validation was conducted in 225 consecutive patients. Performance and clinical benefit of the model were evaluated using receiver operat

SUBMITTER: Zhang X 

PROVIDER: S-EPMC9039700 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature