Last reviewed · How we verify

NCT03820271: SUPERMELD

New Prognostic Predictive Models of Mortality of Decompensated Cirrhotic Patients Waiting for Liver Transplantation

Completed NA Last updated 12 March 2026
What this trial tests

NA trial testing SuperMELD in Decompensated Cirrhosis in 501 participants. Completed in 11 November 2025.

Timeline
2 October 2020
Primary endpoint
6 November 2025
11 November 2025

Quick facts

Lead sponsorAssistance Publique - Hôpitaux de Paris
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposeother
Enrollment501
Start date2 October 2020
Primary completion6 November 2025
Estimated completion11 November 2025
Sites1 location across France

Drugs / interventions tested

Conditions studied

Sponsor

Assistance Publique - Hôpitaux de Paris — full company profile →

Who can join

18 and older, any sex, with Decompensated Cirrhosis or Liver Transplantation. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The MELD score is a predictive model of cirrhosis mortality used in France since 2007 to prioritize access to liver transplantation for patients enrolled in the national waiting list. The predictive value of this score was recently revised downward with a C index of the order of 0.65-0.67 and 20% of the patients enrolled for decompensated cirrhosis have access to liver transplantation by a subjective system of "expert component" independent of the MELD because of this lack of precision. The use of the MELD score to individually define access to the transplant should so be reconsidered. Recently new predictive models of cirrhosis mortality better than MELD have been developed and new mortality predictors independent of MELD have been published. The goal of this study is to design prognostic predictive models of mortality for decompensated cirrhotic patients enrolled on the national liver transplant waiting list including known (MELD, MELD Na) as more recent (CLIF-C AD, CLIF - CACLF) predictive models and new objective predictors studied in combination in order to optimize the system of allocation of hepatic allografts in France. The expected benefits of this search are twofold: * At the individual level: The possibility for patients at high risk of death but with intermediate MELD score to be transplanted. * Public health plan: * Improving the equity of graft allocation system. * Decreased mortality in the waiting list by improving the fairness and efficiency of the graft allocation system, a major public health issue * An ancillary study to the SUPERMELD study is also proposed, the miR MELD study, whose main objective is to evaluate the value of plasma miRNAs in a cohort of patients with decompensated cirrhosis (acute and chronic, excluding cancer) listed for liver transplantation to predict 3-month mortality on the liver transplant waiting list or drop-out from the waitlist for being too sick. Additional data collection of the vital status 1 year after transplantation of patients initially included in the SUPERMELD study will also be added for all transplanted patients to assess the potential acceleration of access to transplantation for certain candidates at high risk of death prior to transplantation on post-transplantation survival, and assess the transplant benefit.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Decompensated Cirrhosis

Currently open trials in the same condition.

Other Assistance Publique - Hôpitaux de Paris trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03820271.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing