Evidence map›Paper›PMID 34976761›Full record

ArticleTranslational pediatrics2021

Non-invasive tools for detection of liver disease in children and adolescents with cystic fibrosis.

Antonella Tosco, Angela Sepe, Alice Castaldo, Andrea Catzola, Chiara Cimbalo, Valentina Angelini, Gianfranco Vallone, Roberto Buzzetti, Valeria Raia, Maria Grazia Caprio

Open access · diamondAbstract read
In one paragraph

Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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

10 authors at 3 institutions in 1 country.

Antonella ToscoPediatric Unit, Department of Translational Medical Sciences, Regional Cystic Fibrosis Center, Federico II University of Naples, Naples, Italy.
Angela SepePediatric Unit, Department of Translational Medical Sciences, Regional Cystic Fibrosis Center, Federico II University of Naples, Naples, Italy.
Alice CastaldoPediatric Unit, Department of Translational Medical Sciences, Regional Cystic Fibrosis Center, Federico II University of Naples, Naples, Italy.
Andrea CatzolaPediatric Unit, Department of Translational Medical Sciences, Regional Cystic Fibrosis Center, Federico II University of Naples, Naples, Italy.
Chiara CimbaloPediatric Unit, Department of Translational Medical Sciences, Regional Cystic Fibrosis Center, Federico II University of Naples, Naples, Italy.
Valentina AngeliniDepartment of Oncoematologia, Diagnostica per immagini e morfologica e Medicina Legale, University of Naples Federico II, Naples, Italy.
Gianfranco ValloneDepartment Life and Health "V. Tiberio", University of Molise, Campobasso, Italy.
Roberto BuzzettiFreelance Epidemiologist, Bergamo, Italy.
Valeria RaiaPediatric Unit, Department of Translational Medical Sciences, Regional Cystic Fibrosis Center, Federico II University of Naples, Naples, Italy.
Maria Grazia CaprioInstitute of Biostructure and Bioimaging IBB, CNR, Naples, Italy.
Institute of Biostructure and Bioimaging · ITUniversity of Molise · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic fibrosis (CF) is a multi-organ genetic disease caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene which encodes the CFTR protein. CF-associated liver disease (CFLD) is a common complication; diagnosis is based on clinical, laboratory findings and abdominal imaging. However, non-invasive diagnostic approaches are needed to early detect CFLD, its progression and severity. Recent studies demonstrate a possible role of point shear wave elastography (p-SWE) with liver stiffness measurement (LSM) as a tool for CFLD diagnosis also in children. This non-invasive technique measures liver stiffness to assess liver fibrosis and is suggested to be less operator-dependent compared to ultrasonography. Aim of our prospective observational study is to investigate the role of p-SWE with LSM for CFLD diagnosis in children and adolescents with CF and to compare this finding with aspartate aminotransferase to platelet ratio index (APRI), fibrosis index based on four factors (FIB-4) and gamma-glutamyl-transpeptidase to platelet ratio (GPR) indices.

methodsFifty-nine children with CF, who had routinely undergone abdominal imaging, were consecutively enrolled. Laboratory findings and clinical data were recorded, as abdominal ultrasound and shear wave elastography at baseline. The cases were divided into two groups based on collected data and classified as CFLD and CFnoLD (without liver disease) according to Debray criteria. APRI, FIB-4 and GPR fibrosis indices were also evaluated.

resultsTwenty-four/59 (40.7%) were defined as CFLD. LSM test is superior to the APRI (P<0.001), the FIB-4 test (P=0.001) and the GPR test for early detection of liver fibrosis. LSM had an area under receiver operating characteristic (ROC) curve =0.818 (95% CI: 0.702-0.934) compared with APRI (0.571, 95% CI: 0.421-0.722), FIB-4 (0.656, 95% CI: 0.511-0.801) and GPR (0.632, 95% CI: 0.485-0.779). At a cut-off of ≥6.2 LSM show a sensitivity of 75.0% and a specificity of 88.6%.

conclusionsLSM by transient p-SWE is a non-invasive, highly accessible, reliable, and reproducible test that can be used to assess early detection of liver fibrosis and its severity in children and adolescents with CF, limiting the use of liver biopsy. These preliminary observations point to the need of larger study population to confirm our data.

Indexed as

Cystic fibrosis (CF)hepatic stiffnessliver diseaseultrasound

Identifiers

PMID34976761
PMCPMC8649592
OpenAlexW3204146632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.