Viewing Study NCT06626724



Ignite Creation Date: 2024-10-26 @ 3:42 PM
Last Modification Date: 2024-10-26 @ 3:42 PM
Study NCT ID: NCT06626724
Status: COMPLETED
Last Update Posted: None
First Post: 2024-10-01

Brief Title: A Retrospective Cohort Study on Predicting Delayed Graft Function in Liver Transplant Patients with Hepatocellular Carcinoma a Nomogram and Machine Learning Approaches
Sponsor: None
Organization: None

Study Overview

Official Title: A Retrospective Cohort Study on Predicting Delayed Graft Function in Liver Transplant Patients with Hepatocellular Carcinoma a Nomogram and Machine Learning Approaches
Status: COMPLETED
Status Verified Date: 2024-10
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: No
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Background This study aimed to develop a predictive model for delayed graft function DGF in liver transplant patients with hepatocellular carcinoma HCC based on preoperative biochemical indicators using both logistic regression and XGBoost machine learning algorithms

Methods A retrospective cohort study was conducted including 131 liver transplant patients from January 2020 to April 2022 Preoperative biochemical markers and hematological parameters were analyzed Logistic regression and XGBoost models were constructed to predict DGF and their performance was evaluated using the area under the ROC curve AUC Shapley Additive Explanations SHAP analysis was employed to interpret the feature contributions
Detailed Description: None

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None