Evidence map›Paper›PMID 36644239›Full record

ArticleJHEP reports : innovation in hepatology2023

Real-world evidence on non-invasive tests and associated cut-offs used to assess fibrosis in routine clinical practice.

Jeffrey V Lazarus, Laurent Castera, Henry E Mark, Alina M Allen, Leon A Adams, Quentin M Anstee, Marco Arrese, Saleh A Alqahtani, Elisabetta Bugianesi, Massimo Colombo and 12 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Care Pathways for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-The-Art Review.Liver international : official journal of the International Association for the Study of the Liver · 2026
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  11. Envisioning how to advance the MASH field.Nature reviews. Gastroenterology & hepatology · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 20 institutions in 14 countries.

Jeffrey V LazarusBarcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain.
Laurent CasteraUniversité de Paris, UMR1149 (CRI), Inserm, Paris, France & Service d'Hépatologie, AP-HP, Hôpital Beaujon, Clichy, France.
Henry E MarkBarcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain.
Alina M AllenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Leon A AdamsDepartment of Hepatology and Liver Transplant Unit, Sir Charles Gairdner Hospital, Medical School, University of Western Australia, Perth, Australia.
Quentin M AnsteeTranslational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Marco ArreseDepartment of Gastroenterology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Saleh A AlqahtaniDivision of Gastroenterology & Hepatology, Johns Hopkins University, Baltimore, MD, USA.
Elisabetta BugianesiDepartment of Medical Sciences, Division of Gastroenterology and Hepatology, A.O. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy.
Massimo ColomboLiver Center, IRCCS San Raffaele Hospital, Milan, Italy.
Kenneth CusiDivision of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, FL, USA.
Hannes HagströmDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Rohit LoombaDepartment of Medicine, NAFLD Research Center, La Jolla, CA, USA.
Manuel Romero-GómezVirgen del Rocio University Hospital, Institute of Biomedicine of Seville (HUVR/CSIC/US), CIBEREHD, University of Seville, Seville, Spain.
Jörn M SchattenbergMetabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Mainz, Germany.
Maja ThieleLiver Research Center, Odense University Hospital and University of Southern Denmark, Odense, Denmark.
Luca ValentiDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
Vincent Wai-Sun WongMedical Data Analytics Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Yusuf YilmazDepartment of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey.
Zobair M YounossiCenter for Liver Diseases, Inova Medicine, Falls Church, VA, USA.
Sven M FrancqueDepartment of Gastroenterology Hepatology, University Hospital Antwerp & Translational Sciences in Inflammation and Immunology TWI2N, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Emmanuel A TsochatzisUniversity College London Institute for Liver and Digestive Health, Royal Free Hospital, London, United Kingdom.
Barcelona Institute for Global Health · ESCentro de Investigación Biomédica en Red · ESChinese University of Hong Kong · HKInserm · FRJohannes Gutenberg University Mainz · DEJohns Hopkins University · USKarolinska Institutet · SEMayo Clinic in Arizona · USNIHR Newcastle Biomedical Research Centre · GBPontificia Universidad Católica de Chile · CLRecep Tayyip Erdoğan University · TRThe Royal Free Hospital · GBThe University of Western Australia · AUUniversity of Antwerp · BEUniversity of California San Diego · USUniversity of Florida · USUniversity of Milan · ITUniversity of Southern Denmark · DKUniversity of Turin · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Non-invasive tests (NITs) offer a practical solution for advanced fibrosis identification in non-alcoholic fatty liver disease (NAFLD). Despite increasing implementation, their use is not standardised, which can lead to inconsistent interpretation and risk stratification. We aimed to assess the types of NITs and the corresponding cut-offs used in a range of healthcare settings. Methods: A survey was distributed to a convenience sample of liver health experts who participated in a global NAFLD consensus statement. Respondents provided information on the NITs used in their clinic with the corresponding cut-offs and those used in established care pathways in their areas. Results: There were 35 respondents from 24 countries, 89% of whom practised in tertiary level settings. A total of 14 different NITs were used, and each respondent reported using at least one (median = 3). Of the respondents, 80% reported using FIB-4 and liver stiffness by vibration-controlled transient elastography (Fibroscan®), followed by the NAFLD fibrosis score (49%). For FIB-4, 71% of respondents used a low cut-off of <1.3 (range <1.0 to <1.45) and 21% reported using age-specific cut-offs. For Fibroscan®, 21% of respondents used a single liver stiffness cut-off: 8 kPa in 50%, while the rest used 7.2 kPa, 7.8 kPa and 8.7 kPa. Among the 63% of respondents who used lower and upper liver stiffness cut-offs, there were variations in both values (<5 to <10 kPa and >7.5 to >20 kPa, respectively). Conclusions: The cut-offs used for the same NITs for NAFLD risk stratification vary between clinicians. As cut-offs impact test performance, these findings underscore the heterogeneity in risk-assessment and support the importance of establishing consistent guidelines on the standardised use of NITs in NAFLD management. Lay summary: Owing to the high prevalence of non-alcoholic fatty liver disease (NAFLD) in the general population it is important to identify those who have more advanced stages of liver fibrosis, so that they can be properly treated. Non-invasive tests (NITs) provide a practical way to assess fibrosis risk in patients. However, we found that the cut-offs used for the same NITs vary between clinicians. As cut-offs impact test performance, these findings highlight the importance of establishing consistent guidelines on the standardised use of NITs to optimise clinical management of NAFLD.

Indexed as

ElastographyFIB-4FIB-4, Fibrosis-4HepatologyNAFLDNAFLD, Non-alcoholic fatty liver diseaseNFSNFS, NAFLD fibrosis scoreNIT, Non-invasive testNITs

Identifiers

PMID36644239
PMCPMC9832273
OpenAlexW4296628485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.