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NCT04616664: LLIFT

Diagnostic Accuracy of the "LLIFT", a Novel Non-invasive Biomarker for the Diagnosis of Non Alcoholic Fatty Liver (NAFL) and SteatoHepatitis (NASH) in a Population With High Risk of Metabolic Syndrome"

Completed Last updated 23 December 2025
What this trial tests

trial in Obesity in 158 participants. Completed in 17 January 2024.

Timeline
16 February 2021
Primary endpoint
17 January 2024
17 January 2024

Quick facts

Lead sponsorUniversity Hospital, Lille
StatusCompleted
Study typeOBSERVATIONAL
Enrollment158
Start date16 February 2021
Primary completion17 January 2024
Estimated completion17 January 2024
Sites7 locations across France

Conditions studied

Sponsor

University Hospital, Lille

Who can join

18 and older, any sex, with Obesity or NASH - Nonalcoholic Steatohepatitis. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The NAFLD is the first cause of liver disease worldwide. The severe form of NAFLD, the NASH progresses to cirrhosis and is responsible of liver mortality. The diagnosis of NASH requires liver biopsy that cannot be used for the screening of the disease. The broad prevalence of the disease limits also the generalization of liver biopsy even for diagnosis. There is an urgent need for the use and the validation of liver diagnosis biomarkers for the diagnosis of NASH.

Publications & conference data

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

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Other recruiting trials for Obesity

Currently open trials in the same condition.

Other University Hospital, Lille 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/NCT04616664.

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