Last reviewed · How we verify
NCT03056612: PREDICT
Predicting Acute-on-Chronic Liver Failure in Cirrhosis (PREDICT) Study
trial testing Observation protocol in Liver Cirrhosis With Acute Decompensation in 1,314 participants. Completed in 31 October 2018.
31 July 2018
Quick facts
| Lead sponsor | Jonel Trebicka |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 1,314 |
| Start date | 31 March 2017 |
| Primary completion | 31 July 2018 |
| Estimated completion | 31 October 2018 |
| Sites | 45 locations across France, Denmark, Italy, Netherlands, Slovakia, Belgium, Austria, United Kingdom |
Drugs / interventions tested
- Observation protocol
Conditions studied
- Liver Cirrhosis With Acute Decompensation — all drugs for Liver Cirrhosis With Acute Decompensation →
Sponsor
Jonel Trebicka
Who can join
18 and older, any sex, with Liver Cirrhosis With Acute Decompensation. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The aim of this study is to assess prospectively the critical period prior to the development of Acute-on-Chronic Liver Failure (ACLF) (1), to uncover mechanistic and pathophysiological processes associated with the development and clinical course of ACLF (2) and to identify the precipitating events of ACLF (3).
Publications & conference data
5 peer-reviewed publications reference this trial (live from Europe PMC):
-
The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology.
Trebicka J, Fernandez J, Papp M, Caraceni P, et al · · 2020 · cited 378× · PMID 32673741 · DOI 10.1016/j.jhep.2020.06.013 -
PREDICT identifies precipitating events associated with the clinical course of acutely decompensated cirrhosis.
Trebicka J, Fernandez J, Papp M, Caraceni P, et al · · 2021 · cited 219× · PMID 33227350 · DOI 10.1016/j.jhep.2020.11.019 -
Gut-Liver Axis Links Portal Hypertension to Acute-on-Chronic Liver Failure.
Trebicka J, Reiberger T, Laleman W. · · 2018 · cited 38× · PMID 30345284 · DOI 10.1159/000490262 -
Sympathetic nervous activation, mitochondrial dysfunction and outcome in acutely decompensated cirrhosis: the metabolomic prognostic models (CLIF-C MET).
Weiss E, de la Peña-Ramirez C, Aguilar F, Lozano JJ, et al · · 2023 · cited 30× · PMID 36788015 · DOI 10.1136/gutjnl-2022-328708 -
<i>L</i> <i>actococcus A</i> phages predict ACLF while <i>Enterococcus B</i> phages predict bacterial infection in decompensated cirrhosis.
Van Espen L, Brol MJ, Close L, Schierwagen R, et al · · 2026 · PMID 41438339 · DOI 10.1016/j.jhepr.2025.101622
Verify or expand the search:
- PubMed search for NCT03056612
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Liver Cirrhosis With Acute Decompensation
Currently open trials in the same condition.
- NCT07437755 — Thrombelastometry-guided Blood Component Administration Versus Standard of Care in Patients With Decompensated Liver Cir · NA · recruiting
Other Jonel Trebicka trials
Trials by the same sponsor.
- NCT03072615 — Role of SWE-change After TIPS in the Prediction of Prognosis After TIPS · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03056612 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Jonel Trebicka
- Last refreshed: 12 April 2019
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/NCT03056612.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing