Evidence map›Paper›PMID 34027123›Full record

ArticleClinical and experimental hepatology2021

FIB-4 and APRI scores for predicting severe liver fibrosis in chronic hepatitis HCV patients: a monocentric retrospective study.

Roberto Catanzaro, Alice Aleo, Morena Sciuto, Luca Zanoli, Baskar Balakrishnan, Francesco Marotta

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Article in Clinical and experimental hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 26 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Roberto CatanzaroDepartment of Clinical and Experimental Medicine - Gastroenterology Section, "Gaspare Rodolico" Policlinico Hospital, University of Catania, Catania, Italy.
Alice AleoDepartment of Clinical and Experimental Medicine - Gastroenterology Section, "Gaspare Rodolico" Policlinico Hospital, University of Catania, Catania, Italy.
Morena SciutoDepartment of Clinical and Experimental Medicine - Gastroenterology Section, "Gaspare Rodolico" Policlinico Hospital, University of Catania, Catania, Italy.
Luca ZanoliDepartment of Clinical and Experimental Medicine, "Gaspare Rodolico" Policlinico Hospital, University of Catania, Catania, Italy.
Baskar BalakrishnanMayo Clinic, Rochester, MN, USA.
Francesco MarottaReGenera R&D International for Aging Intervention, Milano, Italy.
University of Catania · ITMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim of the studyHepatitis C virus (HCV) can cause a chronic liver infection which could then develop into fibrosis, cirrhosis, and hepatocellular carcinoma. Today the diagnosis of liver fibrosis also includes the use of biomarkers. The purpose of our study was to determine the ability of the fibrosis index based on four factors (FIB-4) and aspartate aminotransferase-to-platelet ratio (APRI) to predict the severity of liver fibrosis or cirrhosis. MATERIAL AND

methodsMedical records of 106 patients with HCV-related liver fibrosis were analyzed. All patients underwent clinical examination, blood tests (complete blood count, total bilirubin, etc.) and transient elastography. FIB-4 and APRI were calculated for each patient.

resultsTwenty-six patients (24.52%) had F4 fibrosis, 80 patients (75.48%) had non-F4 fibrosis (F0-F3). There was a statistically significant difference (

conclusionsIn this study, patients with severe fibrosis or cirrhosis were found to have a higher FIB-4 value than APRI in the context of chronic hepatitis C.

Indexed as

APRIbiomarkersFIB-4hepatitis C virusliver fibrosis

Identifiers

PMID34027123
PMCPMC8122089
OpenAlexW3158488772

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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.