Evidence map›Paper›PMID 38023979›Full record

ArticleAnnals of gastroenterology

FibroMeter scores are predictive noninvasive markers of advanced and significant liver fibrosis in patients with chronic viral hepatitis or metabolic dysfunction-associated steatotic liver disease.

Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K Gatselis, Stella Gabeta, Eirini Rigopoulou, George K Koukoulis, Kalliopi Zachou, George N Dalekos

Open access · diamondAbstract read
In one paragraph

Article in Annals of gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 6 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

9 authors at 1 institution in 1 country.

Pinelopi ArvanitiDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
George GiannoulisDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
Vasiliki LygouraDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
Nikolaos K GatselisDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
Stella GabetaDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
Eirini RigopoulouDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
George K KoukoulisDepartment of Pathology, Medical School, University of Thessaly (George K Koukoulis), Larissa, Greece.
Kalliopi ZachouDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
George N DalekosDepartment of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa (Pinelopi Arvaniti, George Giannoulis, Vasiliki Lygoura, Nikolaos K. Gatselis, Stella Gabeta, Eirini Rigopoulou, Kalliopi Zachou, George N. Dalekos).
University of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: FibroMeter and FibroMeter vibration-controlled transient elastography (FibroMeter VCTE) were assessed in a Greek cohort of patients with chronic viral hepatitis (CVH) B and C or metabolic dysfunction-associated steatotic liver disease (MASLD) to evaluate their accuracy in predicting advanced liver fibrosis against other well-validated noninvasive markers. Methods: Group 1: n=83 CVH and group 2: n=38 MASLD patients underwent liver biopsy and transient elastography (TE) on the same day as sera collection. FibroMeter scores APRI and FIB-4 were calculated in all 121 patients, while MASLD fibrosis score (MFS) was also calculated in group 2. Results: In CVH, FibroMeter VCTE performed equivalently to TE and better than the other markers in predicting advanced (≥F3) and significant (≥F2) fibrosis (area under the receiver operating characteristic curve [AUC] 0.887, P<0.001 for F3; AUC 0.766 P<0.001 for F2). FibroMeter Virus (cutoff 0.61) had lower sensitivity (20%) but performed equivalently to APRI and FIB-4. In MASLD, all markers but APRI performed equivalently in predicting advanced fibrosis. FibroMeter VCTE >0.2154 had the same sensitivity (100%) and specificity (81%) as TE (cutoff >7.1 kPa). FibroMeter MASLD >0.25 performed equivalently to MFS and FIB4, but with higher specificity (100%). Both FibroMeter and FibroMeter VCTE correlated with liver histology but not with liver enzymes. Conclusions: FibroMeter VCTE predicts accurately advanced fibrosis in CVH and MASLD, irrespectively of transaminase levels. FibroMeter Virus can be applied only as an alternative marker in CVH, while FibroMeter MASLD performs equally to TE and calculated scores (MFS, FIB-4) in predicting advanced fibrosis in MASLD patients.

Indexed as

chronic viral hepatitisFibroMeterFibroMeter vibration-controlled transient elastographyliver fibrosismetabolic dysfunction-associated steatotic liver disease

Identifiers

PMID38023979
PMCPMC10662069
OpenAlexW4388431095

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.