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Spots Global Cancer Trial Database for Predictive Models of Hepatic Decompensation and Survival Outcomes in Pediatric Patients With Cirrhosis

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Trial Identification

Brief Title: Predictive Models of Hepatic Decompensation and Survival Outcomes in Pediatric Patients With Cirrhosis

Official Title: Predictive Models of Hepatic Decompensation and Survival Outcomes in Pediatric Patients With Cirrhosis

Study ID: NCT05181332

Interventions

Prediction model

Study Description

Brief Summary: The aim of this study was to developed and validated models to predict hepatic decompensation and survivals in pediatric patients with cirrhosis and compared these models with currently available models.

Detailed Description: Noninvasive liver fibrosis tests such as the NAFLD fibrosis score (NFS), Hepascore, and transient elastography were specifically developed to predict fibrosis and can help predict patients with NAFLD at the highest risk of developing liver-related complications. These tests have been widely applied in adult cirrhosis. The accuracy of these models, however, may be influenced by patient factors including age, body mass index, and diabetes, potentially limiting their prognostic accuracy and clinical practicability in children. Therefore, it is currently unknown how to best predict hepatic decompensation and survival outcomes among pediatric patients with cirrhosis. To fill this knowledge gap, the investigators performed a retrospective-prospective cohort study with the aim of developing and validating a clinical model to predict liver-related complications and survival outcomes in pediatric patients with biopsy-proven with cirrhosis. Secondly, the investigators aimed to compare the predictive accuracy with currently available noninvasive model.

Keywords

Eligibility

Minimum Age: 0 Years

Eligible Ages: CHILD, ADULT

Sex: ALL

Healthy Volunteers: No

Locations

West China Hospital, Sichuan University, Chengdu, Sichuan, China

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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