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Record W4407157691 · doi:10.1001/jama.2024.27441

Simvastatin and Rifaximin in Decompensated Cirrhosis

2025· article· en· W4407157691 on OpenAlexafffund
Elisa Pose, César Jiménez, Giacomo Zaccherini, Daniela Campion, Salvatore Piano, Frank Erhard Uschner, Koos de Wit, Olivier Roux, Kohilan Gananandan, Wim Laleman, Cristina Solé, Sonia Alonso López, Berta Cuyàs, Xavier Ariza, Adrià Juanola, Ann T., Laura Napoleone, Jordi Gratacós‐Ginès, Marta Tonon, Enrico Pompili, Jordi Sánchez‐Delgado, Andrew S. Allegretti, Manuel Morales‐Ruiz, Marta Carol, Martina Pérez, Núria Fabrellas, Judit Pich, Claudia Martell, María Joyera, Gemma Domènech, José Ríos, Ferràn Torres, Miquel Serra‐Burriel, Rubén Hernáez, Elsa Solà, Isabel Graupera, Hugh Watson, Germán Soriano, Rafael Bañares, Rajeshwar P. Mookerjee, Claire Francoz, Ulrich Beuers, Jonel Trebicka, Paolo Angeli, Carlo Alessandria, Paolo Caraceni, Víctor Manuel Vargas, Juan G. Abraldeṣ, Patrick S. Kamath, Pere Ginès

Bibliographic record

VenueJAMA · 2025
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of AlbertaToronto Liver CentreUniversity Health Network
FundersUniversitat Autònoma de BarcelonaUniversität ZürichUniversitat de BarcelonaUniversity College LondonU.S. Department of Veterans AffairsUniversity of AlbertaInstituto de Investigación Sanitaria Gregorio MarañónCentres de Recerca de CatalunyaHealth Services Research and DevelopmentAarhus UniversitetMassachusetts General HospitalKU LeuvenNational Institute of Diabetes and Digestive and Kidney DiseasesUniversidad Complutense de Madrid
KeywordsMedicineCirrhosisInternal medicineRifaximinGastroenterologyHepatic encephalopathyAscitesHazard ratioPlaceboClinical endpointRandomized controlled trialConfidence intervalPathology

Abstract

fetched live from OpenAlex

Importance: There are no useful treatments to prevent the development of severe complications of liver cirrhosis. Simvastatin and rifaximin have shown beneficial effects in liver cirrhosis. Objective: To assess whether simvastatin combined with rifaximin improves outcomes in patients with decompensated cirrhosis. Design, Setting, and Participants: Double-blind, placebo-controlled, phase 3 trial conducted among patients with decompensated cirrhosis in 14 European hospitals between January 2019 and December 2022. The last date of follow-up was December 2022. Interventions: Patients were randomly assigned to receive simvastatin, 20 mg/d, plus rifaximin, 1200 mg/d (n = 117), or identical-appearing placebo (n = 120) for 12 months in addition to standard therapy, stratified according to Child-Pugh class B or C. Main Outcomes and Measures: The primary end point was incidence of severe complications of liver cirrhosis associated with organ failure meeting criteria for acute-on-chronic liver failure. Secondary outcomes included transplant or death and a composite end point of complications of cirrhosis (ascites, hepatic encephalopathy, variceal bleeding, acute kidney injury, and infection). Results: Among the 237 participants randomized (Child-Pugh class B: n = 194; Child-Pugh class C: n = 43), 72% were male and the mean age was 57 years. There were no differences between the 2 groups in terms of development of acute-on-chronic liver failure (21 [17.9%] vs 17 [14.2%] patients in the treatment and placebo groups, respectively; hazard ratio, 1.23; 95% CI, 0.65-2.34; P = .52); transplant or death (22 [18.8%] vs 29 [24.2%] patients in the treatment and placebo groups, respectively; hazard ratio, 0.75; 95% CI, 0.43-1.32; P = .32); or development of complications of cirrhosis (50 [42.7%] vs 55 [45.8%] patients in the treatment and placebo groups, respectively; hazard ratio, 0.93; 95% CI, 0.63-1.36; P = .70). Incidence of adverse events was similar in both groups (426 vs 419; P = .59), but 3 patients in the treatment group (2.6%) developed rhabdomyolysis. Conclusions and Relevance: The addition of simvastatin plus rifaximin to standard therapy does not improve outcomes in patients with decompensated liver cirrhosis. Trial Registration: ClinicalTrials.gov Identifier: NCT03780673.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.144

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.273
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2025
Admission routes2
Has abstractyes

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