Evidence map›Paper›PMID 40201720›Full record

ArticleOpen forum infectious diseases2025

FibroScan-AST Score vs Liver Stiffness for the Prediction of Liver Events After HCV Cure.

Anaïs Corma-Gómez, Diana Corona-Mata, Jésica Martín-Carmona, María José Galindo, Angela Camacho, Carmen Martín-Sierra, Marina Gallo-Marín, Pilar Rincón, Ignacio Perez-Valero, Margarita Pérez-García and 6 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Anaïs Corma-GómezGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.ORCID https://orcid.org/0000-0002-1078-0237
Diana Corona-MataCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Jésica Martín-CarmonaGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.ORCID https://orcid.org/0000-0001-6791-4745
María José GalindoUnit of Infectious Diseases, Hospital Clínico Universitario de Valencia, INCLIVA, Valencia, Spain.
Angela CamachoCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Carmen Martín-SierraGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.ORCID https://orcid.org/0000-0001-5120-1054
Marina Gallo-MarínCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Pilar RincónGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.
Ignacio Perez-ValeroCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Margarita Pérez-GarcíaGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.
Angela Carrasco-DoradoClinical Virology and Zoonoses Research Group, Unit of Infectious Diseases, Hospital Universitario Reina Sofía, Córdoba, Spain.ORCID https://orcid.org/0009-0009-7025-7294
Juan A PinedaGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.
Antonio Rivero-JuárezCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-8643-4250
Antonio RiveroCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Luis M RealGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.ORCID https://orcid.org/0000-0003-4932-7429
Juan MacíasGrupo de Virología Clínica e ITS Cinical Virology and STIs Group, Unit of Infectious Diseases and Microbiology, de Hospital Universitario Virgen de Valme, Sevilla, Spain.ORCID https://orcid.org/0000-0002-4778-790X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liver stiffness (LS) predicts liver complication occurrence in patients with hepatitis C virus (HCV) infection after sustained virological response (SVR). The FibroScan-AST (FAST) score, which includes aspartate aminotransferase (AST) and controlled attenuation parameter (CAP; measured by FibroScan), may improve the prediction ability of isolated LS. Our aim was to compare the predictive capacity of LS vs FAST in this setting. Methods: Multicenter cohort study including individuals with HIV/HCV coinfection or HCV monoinfection from Spain if they had (1) LS ≥9.5 kPa pretreatment, (2) SVR with a direct-acting antiviral (DAA)-based regimen, and (3) LS and CAP measurement at SVR. Fatty liver disease (FLD) was defined as CAP ≥248 dB/m. The primary outcome was the occurrence of a liver complication (decompensation or hepatocellular carcinoma [HCC]) after SVR. Results: Three hundred patients were included; 213 (71%) had HIV. At SVR, 131 (44%) had FLD. The FAST score was <0.35 in 182 (61%), 0.35-0.67 in 79 (27%), and >0.67 in 34 (12%) patients. After a median (Q1-Q3) follow-up of 73 (53-83) months, 36 (12%) liver complications (15 [5%] HCC) occurred. LS was independently associated with an increased risk of developing liver complications (sub-hazard ratio [sHR], 1.06; 95% CI, 1.04-1.08; Conclusions: The FAST score predicts the development of liver events after SVR but does not improve the predictive capacity of LS alone at this time point.

Indexed as

FAST scoreHCV infectionliver complicationsliver stiffnesssustained virological response

Identifiers

PMID40201720
PMCPMC11977108

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.