Cited by 1,275Liver Disease Diagnosis and TreatmentUltrasound Imaging and ElastographyUltrasound in Clinical Applications

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Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis

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Karlas, Thomas, Petroff, David, Sasso, Magali, Fan, Jian-Gao, Mi, Yu-Qiang, de Lédinghen, Victor, Kumar, Manoj, Lupsor-Platon, Monica, Han, Kwang-Hyub, Cardoso, Ana C., Ferraioli, Giovanna, Chan, Wah-Kheong, Wong, Vincent Wai-Sun, Myers, Robert P., Chayama, Kazuaki, Friedrich-Rust, Mireen, Beaugrand, Michel, Shen, Feng, Hiriart, Jean-Baptiste, Sarin, Shiv K., Badea, Radu, Jung, Kyu Sik, Marcellin, Patrick, Filice, Carlo, Mahadeva, Sanjiv, Wong, Grace Lai-Hung, Crotty, Pam, Masaki, Keiichi, Bojunga, Joerg, Bedossa, Pierre, Keim, Volker, Wiegand, Johannes·2017·Journal of Hepatology

DOI 10.1016/j.jhep.2016.12.022

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Abstract

Background & aims The prevalence of fatty liver underscores the need for non-invasive characterization of steatosis, such as the ultrasound based controlled attenuation parameter (CAP). Despite good diagnostic accuracy, clinical use of CAP is limited due to uncertainty regarding optimal cut-offs and the influence of covariates. We therefore conducted an individual patient data meta-analysis.Methods A review of the literature identified studies containing histology verified CAP data (M probe, vibration controlled transient elastography with FibroScan®) for grading of steatosis (S0-S3). Receiver operating characteristic analysis after correcting for center effects was used as well as mixed models to test the impact of covariates on CAP. The primary outcome was establishing CAP cut-offs for distinguishing steatosis grades.Results Data from 19/21 eligible papers were provided, comprising 3830/3968 (97%) of patients. Considering data overlap and exclusion criteria, 2735 patients were included in the final analysis (37% hepatitis B, 36% hepatitis C, 20% NAFLD/NASH, 7% other). Steatosis distribution was 51%/27%/16%/6% for S0/S1/S2/S3. CAP values in dB/m (95% CI) were influenced by several covariates with an estimated shift of 10 (4.5-17) for NAFLD/NASH patients, 10 (3.5-16) for diabetics and 4.4 (3.8-5.0) per BMI unit. Areas under the curves were 0.823 (0.809-0.837) and 0.865 (0.850-0.880) respectively. Optimal cut-offs were 248 (237-261) and 268 (257-284) for those above S0 and S1 respectively.Conclusions CAP provides a standardized non-invasive measure of hepatic steatosis. Prevalence, etiology, diabetes, and BMI deserve consideration when interpreting CAP. Longitudinal data are needed to demonstrate how CAP relates to clinical outcomes.Lay summary There is an increase in fatty liver for patients with chronic liver disease, linked to the epidemic of the obesity. Invasive liver biopsies are considered the best means of diagnosing fatty liver. The ultrasound based controlled attenuation parameter (CAP) can be used instead, but factors such as the underlying disease, BMI and diabetes must be taken into account. Registration: Prospero CRD42015027238.

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Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statisctics and computing/Statistics and computing · doi:10.1007/978-0-387-21706-2 · Cited by 25,941
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697
Design and validation of a histological scoring system for nonalcoholic fatty liver disease†
Kleiner, D. E., Brunt, E. M., Van Natta, M., Behling, C., Contos, M. J., Cummings, O. W., Ferrell, L. D., Liu, Y., Torbenson, M. S., Unalp‐Arida, A., et al. (2005) · Hepatology · doi:10.1002/hep.20701 · Cited by 10,791
Fitting Linear Mixed-Effects Models Using lme4Preprint
Bates, D. M., Maechler, M., Bolker, B. M., & Walker, S. (2014) · arXiv (Cornell University) · doi:10.3929/ethz-b-000105397 · Cited by 9,435
Histological grading and staging of chronic hepatitis.
Ishak, K., Baptista, A., Bianchi, L., Callea, F., Groote, J. D., Gudat, F., Denk, H., Desmet, V., Korb, G., Macsween, R. N., et al. (1995) · Journal of Hepatology · doi:10.1016/0168-8278(95)80226-6 · Cited by 5,290
EASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease
(2016) · Journal of Hepatology · doi:10.1016/j.jhep.2015.11.004 · Cited by 4,836
The diagnosis and management of non-alcoholic fatty liver disease: Practice Guideline by the American Association for the Study of Liver Diseases, American College of Gastroenterology, and the American Gastroenterological Association
Chalasani, N., Younossi, Z. M., Lavine, J. E., Diehl, A. M., Brunt, E. M., Cusi, K. J., Charlton, M., & Sanyal, A. J. (2012) · Hepatology · doi:10.1002/hep.25762 · Cited by 3,854
Intraobserver and Interobserver Variations in Liver Biopsy Interpretation in Patients With Chronic Hepatitis C
Bédossa, P. (1994) · Hepatology · doi:10.1002/hep.1840200104 · Cited by 2,189
AASLD guidelines for treatment of chronic hepatitis B
Terrault, N. A., Bzowej, N. H., Chang, K., Hwang, J. P., Jonas, M. M., & Murad, M. H. (2015) · Hepatology · doi:10.1002/hep.28156 · Cited by 2,002

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Authors: Karlas, T., Petroff, D., Sasso, M., Fan, J.-G., Mi, Y.-Q., de Lédinghen, V., Kumar, M., Lupsor-Platon, M., Han, K.-H., Cardoso, A. C., Ferraioli, G., Chan, W.-K., Wong, V. W.-S., Myers, R. P., Chayama, K., Friedrich-Rust, M., Beaugrand, M., Shen, F., Hiriart, J.-B., Sarin, S. K., Badea, R., Jung, K. S., Marcellin, P., Filice, C., Mahadeva, S., Wong, G. L.-H., Crotty, P., Masaki, K., Bojunga, J., Bedossa, P., Keim, V., & Wiegand, J.
Affiliations: University Hospital Leipzig (DE)
IFB Adiposity Diseases (DE)
Echosens (France) (FR)
Shanghai Jiao Tong University (CN)
Institute of Liver and Biliary Sciences (IN)
Yonsei University (KR)
Inserm (FR)
University of Pavia (IT)
University of Malaya (MY)
Chinese University of Hong Kong (HK)
University of Calgary (CA)
Hiroshima University Hospital (JP)
Hôpital Jean-Verdier (FR)
Centre Hospitalier Universitaire de Bordeaux (FR)
Iuliu Hațieganu University of Medicine and Pharmacy (RO)
University Hospital Frankfurt (DE)
Corresponding author: Wiegand, Johannes
ORCID: Karlas, Thomas
Petroff, David
Sasso, Magali
Fan, Jian-Gao
Kumar, Manoj
Han, Kwang-Hyub
Cardoso, Ana C.
Ferraioli, Giovanna
Chan, Wah-Kheong
Wong, Vincent Wai-Sun
Chayama, Kazuaki
Shen, Feng
Hiriart, Jean-Baptiste
Sarin, Shiv K.
Badea, Radu
Marcellin, Patrick
Mahadeva, Sanjiv
Wong, Grace Lai-Hung
Crotty, Pam
Bojunga, Joerg
Wiegand, Johannes
Venue: Journal of Hepatology
Publisher: Elsevier BV
Published: 2017-05
Volume: 66
Issue: 5
Pages: 1022-1030
ISSN: 0168-8278 (ISSN-L)
DOI: 10.1016/j.jhep.2016.12.022
OpenAlex: W2564467149
Cited by: 1,275
References: 65
Citations by year: 2026: 164 · 2025: 185 · 2024: 180 · 2023: 139 · 2022: 161 · 2021: 150 · 2020: 117 · 2019: 77 · 2018: 67 · 2017: 31
FWCI: 7.94
Type: journal article
Language: en
Open access: green
www.sciencedirect.com
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Hepatology (publishedVersion)
PubMed (publishedVersion)
YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
Topics: Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Ultrasound in Clinical Applications
Keywords: controlled attenuation parameter, hepatic steatosis, vibration-controlled transient elastography, FibroScan, chronic liver disease, diabetes mellitus, body mass index, liver ultrasound, receiver operating characteristic
MeSH terms: Adult, Fatty Liver, Female, Humans, Male, Middle Aged, ROC Curve, Ultrasonography, Meta-Analysis as Topic, Body Mass Index, Hepatocytes

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Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis

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