Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis
Abstract
Objective: Liver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Index (FIB-4) and NAFLD (non-alcoholic fatty liver disease) Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies. Design: Individual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individually and in sequential combinations. Results: Data were included from 37 primary studies (n=5735; 45% women; median age: 54 years; median body mass index: 30 kg/m 2 ; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (<1.3; ≥2.67) followed by LSM-VCTE cut-offs (<8.0; ≥10.0 kPa) to rule-in or rule-out advanced fibrosis had sensitivity and specificity (95% CI) of 66% (63–68) and 86% (84–87) with 33% needing a biopsy to establish a final diagnosis. FIB-4 cut-offs (<1.3; ≥3.48) followed by LSM cut-offs (<8.0; ≥20.0 kPa) to rule out advanced fibrosis or rule in cirrhosis had a sensitivity of 38% (37–39) and specificity of 90% (89–91) with 19% needing biopsy. Conclusion: Sequential combinations of markers with a lower cut-off to rule-out advanced fibrosis and a higher cut-off to rule-in cirrhosis can reduce the need for liver biopsies.
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In NAFLD, the threshold for ruling-out/in advanced fibrosis ranges between 9.9 and 11.4 kPa in the STELLAR trials, while a large meta-analysis reported a lower threshold of 7.4 kPa (90% sensitivity) and upper threshold of 12.1 kPa (90% specificity).
“In the specific etiology of NAFLD, the threshold for ruling‐out/in advanced fibrosis ranges between 9.9 and 11.4 kPa in the STELLAR trials [73] while in a recently published large meta‐analysis a lower threshold of 7.4 kPa (90% Sensitivity) and upper threshold of 12.1 kPa (90% specificity) was published [74].”
From Current treatment of non‐alcoholic fatty liver disease (2022) · cites this paper as [74]
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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 · see citing works
Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350 · see citing works
Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention
Younossi, Z., Anstee, Q. M., Marietti, M., Hardy, T., Henry, L., Eslam, M., George, J., & Bugianesi, E. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.109 · Cited by 5,249 · see citing works
Self-citationSterling, R. K., Lissen, E., Clumeck, N., Sola, R., Correa, M. C., Montaner, J., S. Sulkowski, M., Torriani, F. J., Dieterich, D. T., Thomas, D. L., et al. (2006) · Hepatology · doi:10.1002/hep.21178 · Cited by 5,021 · see citing works
Stewart, L. A., Clarke, M., Rovers, M., Riley, R. D., Simmonds, M., Stewart, G., & Tierney, J. F. (2015) · JAMA · doi:10.1001/jama.2015.3656 · Cited by 2,134 · see citing works
Sampling Variability of Liver Biopsy in Nonalcoholic Fatty Liver Disease
Ratziu, V., Charlotte, F., Heurtier, A., Gombert, S., Giral, P., Bruckert, E., Grimaldi, A., Capron, F., & Poynard, T. (2005) · Gastroenterology · doi:10.1053/j.gastro.2005.03.084 · Cited by 2,106 · see citing works
Boursier, J., Vergniol, J., Guillet, A., Hiriart, J.-B., Lannes, A., Le Bail, B., Michalak, S., Chermak, F., Bertrais, S., Foucher, J., et al. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.04.023 · Cited by 400 · see citing works
Liver Stiffness Measurement Using XL Probe in Patients With Nonalcoholic Fatty Liver Disease
Wong, V. W.-S., Vergniol, J., Wong, G. L.-H., Foucher, J., Chan, A. W.-H., Chermak, F., Choi, P. C.-L., Merrouche, W., Chu, S. H.-T., Pesque, S., et al. (2012) · American Journal of Gastroenterology · doi:10.1038/ajg.2012.331 · Cited by 345 · see citing works
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Research works printed but not linked: 72
- [2]Loomba R, Wong R, Fraysse J, et al. Nonalcoholic fatty liver disease progression rates to cirrhosis and progression of cirrhosis to decompensation and mortality: a real world analysis of Medicare data. Aliment Pharmacol Ther 2020; 51: 1149– 59. 10.1111/apt.15679 32372515 · DOI
- [3]European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity (EASO). EASL-EASD-EASO clinical practice guidelines for the management of non-alcoholic fatty liver disease. Obes Facts 2016; 9: 65– 90. 10.1159/000443344 27055256 PMC5644799 · DOI
- [4]Thampanitchawong P, Piratvisuth T. Liver biopsy:complications and risk factors. World J Gastroenterol 1999; 5: 301– 4. 10.3748/wjg.v5.i4.301 11819452 PMC4695539 · DOI
- [6]Standish RA, Cholongitas E, Dhillon A, et al. An appraisal of the histopathological assessment of liver fibrosis. Gut 2006; 55: 569– 78. 10.1136/gut.2005.084475 16531536 PMC1856155 · DOI
- [7]Davison BA, Harrison SA, Cotter G, et al. Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials. J Hepatol 2020; 73: 1322– 32. 10.1016/j.jhep.2020.06.025 32610115 · DOI · Paper page
- [8]Ekstedt M, Franzén LE, Mathiesen UL, et al. Long-Term follow-up of patients with NAFLD and elevated liver enzymes. Hepatology 2006; 44: 865– 73. 10.1002/hep.21327 17006923 · DOI · Paper page
- [9]Ekstedt M, Hagström H, Nasr P, et al. Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up. Hepatology 2015; 61: 1547– 54. 10.1002/hep.27368 25125077 · DOI · Paper page
- [10]Taylor RS, Taylor RJ, Bayliss S, et al. Association between fibrosis stage and outcomes of patients with nonalcoholic fatty liver disease: a systematic review and meta-analysis. Gastroenterology 2020; 158: e12: 1611– 25. 10.1053/j.gastro.2020.01.043 32027911 · DOI · Paper page
- [11]Srivastava A, Gailer R, Tanwar S, et al. Prospective evaluation of a primary care referral pathway for patients with non-alcoholic fatty liver disease. J Hepatol 2019; 71: 371– 8. 10.1016/j.jhep.2019.03.033 30965069 · DOI
- [12]Moolla A, Motohashi K, Marjot T, et al. A multidisciplinary approach to the management of NAFLD is associated with improvement in markers of liver and cardio-metabolic health. Frontline Gastroenterol 2019; 10: 337– 46. 10.1136/flgastro-2018-101155 31682643 PMC6788125 · DOI
- [13]Davyduke T, Tandon P, Al-Karaghouli M, et al. Impact of Implementing a "FIB-4 First" Strategy on a Pathway for Patients With NAFLD Referred From Primary Care. Hepatol Commun 2019; 3: 1322– 33. 10.1002/hep4.1411 31592044 PMC6771169 · DOI
- [14]European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity (EASO) Marchesini G, Day CP, Dufour JF. EASL-EASD-EASO clinical practice guidelines for the management of non-alcoholic fatty liver disease. J Hepatol 2016; 64: 1388– 402. 10.1016/j.jhep.2015.11.004 27062661 · DOI · Paper page
- [16]Angulo P, Hui JM, Marchesini G, et al. The NAFLD fibrosis score: a noninvasive system that identifies liver fibrosis in patients with NAFLD. Hepatology 2007; 45: 846– 54. 10.1002/hep.21496 17393509 · DOI
- [18]Sheth SG, Flamm SL, Gordon FD, et al. AST/ALT ratio predicts cirrhosis in patients with chronic hepatitis C virus infection. Am J Gastroenterol 1998; 93: 44– 8. 10.1111/j.1572-0241.1998.044_c.x 9448172 · DOI
- [19]Lin Z-H, Xin Y-N, Dong Q-J, et al. Performance of the aspartate aminotransferase-to-platelet ratio index for the staging of hepatitis C-related fibrosis: an updated meta-analysis. Hepatology 2011; 53: 726– 36. 10.1002/hep.24105 21319189 · DOI
- [20]Wong VW-S, Vergniol J, Wong GL-H, et al. Diagnosis of fibrosis and cirrhosis using liver stiffness measurement in nonalcoholic fatty liver disease. Hepatology 2010; 51: 454– 62. 10.1002/hep.23312 20101745 · DOI · Paper page
- [21]Kleiner DE, Brunt EM, Van Natta M, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology 2005; 41: 1313– 21. 10.1002/hep.20701 15915461 · DOI · Paper page
- [22]Boursier J, Zarski J-P, de Ledinghen V, et al. Determination of reliability criteria for liver stiffness evaluation by transient elastography. Hepatology 2013; 57: 1182– 91. 10.1002/hep.25993 22899556 · DOI · Paper page
- [23]Whiting PF, Rutjes AWS, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155: 529. 10.7326/0003-4819-155-8-201110180-00009 22007046 · DOI · Paper page
- [28]Petta S, Wong VW-S, Cammà C, et al. Improved noninvasive prediction of liver fibrosis by liver stiffness measurement in patients with nonalcoholic fatty liver disease accounting for controlled attenuation parameter values. Hepatology 2017; 65: 1145– 55. 10.1002/hep.28843 27639088 · DOI
- [29]Anstee QM, Lawitz EJ, Alkhouri N, et al. Noninvasive tests accurately identify advanced fibrosis due to NASH: baseline data from the stellar trials. Hepatology 2019; 70: 1521– 30. 10.1002/hep.30842 31271665 · DOI · Paper page
- [30]Papatheodoridi M, Hiriart JB, Lupsor-Platon M, et al. Refining the Baveno VI elastography criteria for the definition of compensated advanced chronic liver disease. J Hepatol 2021; 74: 1109– 16. 10.1016/j.jhep.2020.11.050 33307138 · DOI
- [31]Eddowes PJ, Sasso M, Allison M, et al. Accuracy of FibroScan controlled attenuation parameter and liver stiffness measurement in assessing steatosis and fibrosis in patients with nonalcoholic fatty liver disease. Gastroenterology 2019; 156: 1717– 30. 10.1053/j.gastro.2019.01.042 30689971 · DOI
- [32]Inadomi C, Takahashi H, Ogawa Y, et al. Accuracy of the enhanced liver fibrosis test, and combination of the enhanced liver fibrosis and non-invasive tests for the diagnosis of advanced liver fibrosis in patients with non-alcoholic fatty liver disease. Hepatol Res 2020; 50: 682– 92. 10.1111/hepr.13495 32090397 · DOI
- [33]Siddiqui MS, Vuppalanchi R, Van Natta ML, et al. Vibration-controlled transient elastography to assess fibrosis and steatosis in patients with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol 2019; 17: 156– 63. 10.1016/j.cgh.2018.04.043 29705261 PMC6203668 · DOI
- [34]Hsu C, Caussy C, Imajo K, et al. Magnetic resonance vs transient elastography analysis of patients with nonalcoholic fatty liver disease: a systematic review and pooled analysis of individual participants. Clin Gastroenterol Hepatol 2019; 17: 630– 7. 10.1016/j.cgh.2018.05.059 29908362 PMC6294709 · DOI
- [35]Chen J, Yin M, Talwalkar JA, et al. Diagnostic performance of Mr elastography and Vibration-controlled transient elastography in the detection of hepatic fibrosis in patients with severe to morbid obesity. Radiology 2017; 283: 418– 28. 10.1148/radiol.2016160685 27861111 PMC5395333 · DOI
- [36]Myers RP, Pomier-Layrargues G, Kirsch R, et al. Feasibility and diagnostic performance of the FibroScan XL probe for liver stiffness measurement in overweight and obese patients. Hepatology 2012; 55: 199– 208. 10.1002/hep.24624 21898479 · DOI
- [37]Boursier J, Guillaume M, Leroy V, et al. New sequential combinations of non-invasive fibrosis tests provide an accurate diagnosis of advanced fibrosis in NAFLD. J Hepatol 2019; 71: 389– 96. 10.1016/j.jhep.2019.04.020 31102719 · DOI
- [38]Ioannou GN, Feld JJ. What are the benefits of a sustained virologic response to direct-acting antiviral therapy for hepatitis C virus infection? Gastroenterology 2019; 156: 446– 60. 10.1053/j.gastro.2018.10.033 30367836 · DOI
- [39]Petta S, Wai-Sun Wong V, Bugianesi E, et al. Impact of obesity and alanine aminotransferase levels on the diagnostic accuracy for advanced liver fibrosis of noninvasive tools in patients with nonalcoholic fatty liver disease. Am J Gastroenterol 2019; 114: 916– 28. 10.14309/ajg.0000000000000153 31169533 · DOI
- [40]Joo SK, Kim W, Kim D, et al. Steatosis severity affects the diagnostic performances of noninvasive fibrosis tests in nonalcoholic fatty liver disease. Liver Int 2018; 38: 331– 41. 10.1111/liv.13549 28796410 · DOI
- [41]Alkayyali T, Qutranji L, Kaya E, et al. Clinical utility of noninvasive scores in assessing advanced hepatic fibrosis in patients with type 2 diabetes mellitus: a study in biopsy-proven non-alcoholic fatty liver disease. Acta Diabetol 2020; 57: 613– 8. 10.1007/s00592-019-01467-7 31897769 · DOI
- [42]Eren F, Kaya E, Yilmaz Y. Accuracy of Fibrosis-4 index and non-alcoholic fatty liver disease fibrosis scores in metabolic (dysfunction) associated fatty liver disease according to body mass index: failure in the prediction of advanced fibrosis in lean and morbidly obese individuals. Eur J Gastroenterol Hepatol. 10.1097/MEG.0000000000001946 32976186 · DOI
- [43]McPherson S, Hardy T, Dufour J-F, et al. Age as a confounding factor for the accurate non-invasive diagnosis of advanced NAFLD fibrosis. Am J Gastroenterol 2017; 112: 740– 51. 10.1038/ajg.2016.453 27725647 PMC5418560 · DOI · Paper page
- [44]Ratziu V, Massard J, Charlotte F, et al. Diagnostic value of biochemical markers (FibroTest-FibroSURE) for the prediction of liver fibrosis in patients with non-alcoholic fatty liver disease. BMC Gastroenterol 2006; 6: 6. 10.1186/1471-230X-6-6 16503961 PMC1386692 · DOI
- [45]Lichtinghagen R, Pietsch D, Bantel H, et al. The enhanced liver fibrosis (ELF) score: normal values, influence factors and proposed cut-off values. J Hepatol 2013; 59: 236– 42. 10.1016/j.jhep.2013.03.016 23523583 · DOI
- [46]Newsome PN, Sasso M, Deeks JJ, et al. FibroScan-AST (fast) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol Hepatol 2020; 5: 362– 73. 10.1016/S2468-1253(19)30383-8 32027858 PMC7066580 · DOI
- [47]Harrison SA, Ratziu V, Boursier J, et al. A blood-based biomarker panel (NIS4) for non-invasive diagnosis of non-alcoholic steatohepatitis and liver fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol Hepatol 2020; 5: 970– 85. 10.1016/S2468-1253(20)30252-1 32763196 · DOI
- [48]Dennis A, Mouchti S, Kelly M, et al. A composite biomarker using multiparametric magnetic resonance imaging and blood analytes accurately identifies patients with non-alcoholic steatohepatitis and significant fibrosis. Sci Rep 2020; 10: 1– 11. 10.1038/s41598-020-71995-8 32943694 PMC7499258 · DOI
- [49]Agrawal S, Hoad CL, Francis ST, et al. Visual morphometry and three non-invasive markers in the evaluation of liver fibrosis in chronic liver disease. Scand J Gastroenterol 2017; 52: 107– 15. 10.1080/00365521.2016.1233578 27617532 · DOI
- [50]Aykut UE, Akyuz U, Yesil A, et al. A comparison of FibroMeter™ NAFLD score, NAFLD fibrosis score, and transient elastography as noninvasive diagnostic tools for hepatic fibrosis in patients with biopsy-proven non-alcoholic fatty liver disease. Scand J Gastroenterol 2014; 49: 1343– 8. 10.3109/00365521.2014.958099 25259621 · DOI
- [52]Boursier J, Vergniol J, Lannes A, et al. The combination of Fibroscan with blood markers in the fibrometerVCTE significantly reduces the use of liver biopsy for the assessment of advanced fibrosis in non-alcoholic fatty liver disease. J Hepatol 2017; 66: S161– 2. 10.1016/S0168-8278(17)30597-4 · DOI
- [54]Cassinotto C, Lapuyade B, Aït-Ali A, et al. Liver fibrosis: noninvasive assessment with acoustic radiation force impulse elastography--comparison with FibroScan M and XL probes and FibroTest in patients with chronic liver disease. Radiology 2013; 269: 283– 92. 10.1148/radiol.13122208 23630312 · DOI
- [55]Cassinotto C, Boursier J, de Lédinghen V, et al. Liver stiffness in nonalcoholic fatty liver disease: a comparison of supersonic shear imaging, FibroScan, and ARFI with liver biopsy. Hepatology 2016; 63: 1817– 27. 10.1002/hep.28394 26659452 · DOI
- [56]Chan W-K, Nik Mustapha NR, Mahadeva S. A novel 2-step approach combining the NAFLD fibrosis score and liver stiffness measurement for predicting advanced fibrosis. Hepatol Int 2015; 9: 594– 602. 10.1007/s12072-014-9596-7 25788185 · DOI
- [57]Chan W-K, Nik Mustapha NR, Wong GL-H, et al. Controlled attenuation parameter using the FibroScan® XL probe for quantification of hepatic steatosis for non-alcoholic fatty liver disease in an Asian population. United European Gastroenterol J 2017; 5: 76– 85. 10.1177/2050640616646528 PMC5384552 28405325 · DOI
- [59]Eddowes PJ, McDonald N, Davies N, et al. Utility and cost evaluation of multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease. Aliment Pharmacol Ther 2018; 47: 631– 44. 10.1111/apt.14469 29271504 · DOI
- [60]Gaia S, Carenzi S, Barilli AL, et al. Reliability of transient elastography for the detection of fibrosis in non-alcoholic fatty liver disease and chronic viral hepatitis. J Hepatol 2011; 54: 64– 71. 10.1016/j.jhep.2010.06.022 20932598 · DOI
- [61]Garg H, Aggarwal S, Shalimar S. Utility of transient elastography (fibroscan) and impact of bariatric surgery on nonalcoholic fatty liver disease (NAFLD) in morbidly obese patients. Surg Obes Relat Dis 2018; 14: 81– 91. 10.1016/j.soard.2017.09.005 29126863 · DOI
- [62]Karlas T, Dietrich A, Peter V, et al. Evaluation of transient elastography, acoustic radiation force impulse imaging (ARFI), and enhanced liver function (ELF) score for detection of fibrosis in morbidly obese patients. PLoS One 2015; 10: e0141649. 10.1371/journal.pone.0141649 26528818 PMC4631322 · DOI
- [63]Labenz C, Huber Y, Kalliga E, et al. Predictors of advanced fibrosis in non-cirrhotic non-alcoholic fatty liver disease in Germany. Aliment Pharmacol Ther 2018; 48: 1109– 16. 10.1111/apt.14976 30288767 · DOI
- [64]Lee MS, Bae JM, Joo SK, et al. Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease. PLoS One 2017; 12: e0188321. 10.1371/journal.pone.0188321 29176844 PMC5703509 · DOI
- [65]Lupsor M, Badea R, Stefanescu H, et al. Performance of unidimensional transient elastography in staging non-alcoholic steatohepatitis. J Gastrointestin Liver Dis 2010; 19: 53– 60. 20361076
- [66]Mahadeva S, Mahfudz AS, Vijayanathan A. Performance of transient elastography (te) and factors associated with discordance in nonalcoholic fatty liver disease. J Dig Dis 2013; 14. 10.1111/1751-2980.12088 23859493 · DOI
- [67]Okajima A, Sumida Y, Taketani H, et al. Liver stiffness measurement to platelet ratio index predicts the stage of liver fibrosis in non-alcoholic fatty liver disease. Hepatol Res 2017; 47: 721– 30. 10.1111/hepr.12793 27539017 · DOI
- [68]Ooi GJ, Earnest A, Kemp WW, et al. Evaluating feasibility and accuracy of non-invasive tests for nonalcoholic fatty liver disease in severe and morbid obesity. Int J Obes 2018; 42: 1900– 11. 10.1038/s41366-018-0007-3 29463916 · DOI
- [69]Pavlides M, Banerjee R, Tunnicliffe EM, et al. Multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease severity. Liver Int 2017; 37: 1065– 73. 10.1111/liv.13284 27778429 PMC5518289 · DOI
- [70]Petta S, Maida M, Macaluso FS, et al. The severity of steatosis influences liver stiffness measurement in patients with nonalcoholic fatty liver disease. Hepatology 2015; 62: 1101– 10. 10.1002/hep.27844 25991038 · DOI
- [71]Petta S, Vanni E, Bugianesi E, et al. The combination of liver stiffness measurement and NAFLD fibrosis score improves the noninvasive diagnostic accuracy for severe liver fibrosis in patients with nonalcoholic fatty liver disease. Liver Int 2015; 35: 1566– 73. 10.1111/liv.12584 24798049 · DOI
- [72]Petta S, Wong VW-S, Cammà C, et al. Serial combination of non-invasive tools improves the diagnostic accuracy of severe liver fibrosis in patients with NAFLD. Aliment Pharmacol Ther 2017; 46: 617– 27. 10.1111/apt.14219 28752524 · DOI
- [73]Seki K, Shima T, Oya H, et al. Assessment of transient elastography in Japanese patients with non-alcoholic fatty liver disease. Hepatol Res 2017; 47: 882– 9. 10.1111/hepr.12829 27753194 · DOI
- [74]Shen F, Zheng R-D, Shi J-P, et al. Impact of skin capsular distance on the performance of controlled attenuation parameter in patients with chronic liver disease. Liver Int 2015; 35: 2392– 400. 10.1111/liv.12809 25689614 PMC5023997 · DOI
- [75]Staufer K, Halilbasic E, Spindelboeck W, et al. Evaluation and comparison of six noninvasive tests for prediction of significant or advanced fibrosis in nonalcoholic fatty liver disease. United European Gastroenterol J 2019; 7: 1113– 23. 10.1177/2050640619865133 PMC6794685 31662868 · DOI
- [76]Wong VW-S, Irles M, Wong GL-H, et al. Unified interpretation of liver stiffness measurement by M and XL probes in non-alcoholic fatty liver disease. Gut 2019; 68: 2057– 64. 10.1136/gutjnl-2018-317334 30658997 · DOI
- [77]Kwok R, Choi KC, Wong GL-H, et al. Screening diabetic patients for non-alcoholic fatty liver disease with controlled attenuation parameter and liver stiffness measurements: a prospective cohort study. Gut 2016; 65: 1359– 68. 10.1136/gutjnl-2015-309265 25873639 · DOI
- [78]Loong TC-W, Wei JL, Leung JC-F, et al. Application of the combined FibroMeter vibration-controlled transient elastography algorithm in Chinese patients with non-alcoholic fatty liver disease. J Gastroenterol Hepatol 2017; 32: 1363– 9. 10.1111/jgh.13671 27936280 · DOI
- [80]Yoneda M, Yoneda M, Mawatari H, et al. Noninvasive assessment of liver fibrosis by measurement of stiffness in patients with nonalcoholic fatty liver disease (NAFLD). Dig Liver Dis 2008; 40: 371– 8. 10.1016/j.dld.2007.10.019 18083083 · DOI
- [81]Younes R, Rosso C, Petta S, et al. Usefulness of the index of NASH - ION for the diagnosis of steatohepatitis in patients with non-alcoholic fatty liver: An external validation study. Liver Int 2018; 38: 715– 23. 10.1111/liv.13612 29028281 · DOI
- [82]Ziol M, Kettaneh A, Ganne-Carrié N, et al. Relationships between fibrosis amounts assessed by morphometry and liver stiffness measurements in chronic hepatitis or steatohepatitis. Eur J Gastroenterol Hepatol 2009; 21: 1261– 8. 10.1097/MEG.0b013e32832a20f5 19478678 · DOI
- [83]Shah AG, Lydecker A, Murray K, et al. Comparison of noninvasive markers of fibrosis in patients with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol 2009; 7: 1104– 12. 10.1016/j.cgh.2009.05.033 19523535 PMC3079239 · DOI
- [84]McPherson S, Stewart SF, Henderson E, et al. Simple non-invasive fibrosis scoring systems can reliably exclude advanced fibrosis in patients with non-alcoholic fatty liver disease. Gut 2010; 59: 1265– 9. 10.1136/gut.2010.216077 20801772 · DOI
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Cusi, K., Isaacs, S., Barb, D., Basu, R., Caprio, S., Garvey, W. T., Kashyap, S., Mechanick, J. I., Mouzaki, M., Nadolsky, K., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.03.010 · Cited by 1,021 · see citing works
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Long, M. T., Noureddin, M., & Lim, J. K. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.06.023 · Cited by 299 · see citing works
Lin, H., Lee, H. W., Yip, T. C.-F., Tsochatzis, E., Petta, S., Bugianesi, E., Yoneda, M., Zheng, M.-H., Hagström, H., Boursier, J., et al. (2024) · JAMA · doi:10.1001/jama.2024.1447 · Cited by 250 · see citing works
Self-citationWattacheril, J. J., Abdelmalek, M. F., Lim, J. K., & Sanyal, A. J. (2023) · Gastroenterology · doi:10.1053/j.gastro.2023.06.013 · Cited by 236 · see citing works
Impact of non-invasive biomarkers on hepatology practice: past, present and future
Anstee, Q. M., Castera, L., & Loomba, R. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.03.026 · Cited by 224 · see citing works
Self-citationMózes, F. E., Lee, J. A., Vali, Y., Alzoubi, O., Staufer, K., Trauner, M., Paternostro, R., Stauber, R. E., Holleboom, A. G., van Dijk, A.-M., et al. (2023) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(23)00141-3 · Cited by 214 · see citing works
Self-citationBoursier, J., Hagström, H., Ekstedt, M., Moreau, C., Bonacci, M., Cure, S., Ampuero, J., Nasr, P., Tallab, L., Canivet, C. M., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2021.12.031 · Cited by 206 · see citing works
Self-citationBreakthroughs in therapies for NASH and remaining challenges
Ratziu, V., Francque, S., & Sanyal, A. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.04.002 · Cited by 132 · see citing works
Tamaki, N., Ahlholm, N., Luukkonen, P. K., Porthan, K., Sharpton, S. R., Ajmera, V., Kono, Y., Dave, S., Ahmed, A., Sundaram, V., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci162513 · Cited by 69 · see citing works
Ndumele, C. E., Rodriguez, F., Dixon, D. L., Khan, S. S., Mukherjee, D., Bajaj, M., Bangalore, S., Bozkurt, B., Breathett, K., Clarke, S. L., et al. (2026) · JACC · doi:10.1016/j.jacc.2026.03.056 · Cited by 90 · see citing works
Zhang, X., Yip, T. C.-F., Wong, G. L.-H., Leow, W.-X., Liang, L. Y., Lim, L.-L., Li, G., Ibrahim, L., Lin, H., Lai, J. C. T., et al. (2023) · Gut · doi:10.1136/gutjnl-2023-330269 · Cited by 55 · see citing works
Self-citationCanivet, C. M., Costentin, C., Irvine, K. M., Delamarre, A., Lannes, A., Sturm, N., Oberti, F., Patel, P. J., Decaens, T., Irles‐Depé, M., et al. (2023) · Hepatology · doi:10.1002/hep.32665 · Cited by 49 · see citing works
Self-citationUdompap, P., Therneau, T. M., Canning, R. E., Benson, J. T., & Allen, A. M. (2023) · Hepatology · doi:10.1002/hep.32739 · Cited by 37 · see citing works
- Authors
- Mózes, F. E., Lee, J. A., Selvaraj, E. A., Jayaswal, A. N. A., Trauner, M., Boursier, J., Fournier, C., Staufer, K., Stauber, R. E., Bugianesi, E., Younes, R., Gaia, S., Lupșor-Platon, M., Petta, S., Shima, T., Okanoue, T., Mahadeva, S., Chan, W.-K., Eddowes, P. J., Hirschfield, G. M., Newsome, P. N., Wong, V. W.-S., de Ledinghen, V., Fan, J., Shen, F., Cobbold, J. F., Sumida, Y., Okajima, A., Schattenberg, J. M., Labenz, C., Kim, W., Lee, M. S., Wiegand, J., Karlas, T., Yılmaz, Y., Aithal, G. P., Palaniyappan, N., Cassinotto, C., Aggarwal, S., Garg, H., Ooi, G. J., Nakajima, A., Yoneda, M., Ziol, M., Barget, N., Geier, A., Tuthill, T., Brosnan, M. J., Anstee, Q. M., Neubauer, S., Harrison, S. A., Bossuyt, P. M., & Pavlides, M.
- Affiliations
- Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
- Laboratoire HIFIH, UPRES EA 3859, SFR ICAT 4208, Universite d'Angers, Angers, Pays de la Loire, France
- Echosens SA, Paris, Île-de-France, France
- Department of Internal Medicine, Medical University of Graz, Graz, Austria
- Medical Sciences, University of Turin, Torino, Italy
- Boehringer Ingelheim International GmbH, Ingelheim, Rheinland-Pfalz, Germany
- Department of Ultrasonography, University of Medicine and Pharmacy, Regional Institute of Gastroenterology and Hepatology “Prof. Dr. Octavian Fodor”, Cluj Napoca, Romania
- Section of Gastroenterology and Hepatology, PROMISE, Palermo, Italy
- Hepatology Center, Saiseikai Suita Hospital, Suita, Osaka, Japan
- Faculty of Medicine, Department of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia
- NIHR Biomedical Research Centre, University of Birmingham, Birmingham, UK
- Toronto Centre for Liver Disease, University Health Network, Toronto, Ontario, Canada
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, Hong Kong
- Centre d'Investigation de la Fibrose Hépatique, Hopital Haut-Leveque, Pessac, France
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Translational Gastroenterology Unit, University of Oxford, Oxford, Oxfordshire, UK
- Department of Internal Medicine, Aichi Medical University, Nagakute, Aichi, Japan
- Department of Gastroenterology, Koseikai Takeda Hospital, Kyoto, Japan
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University Mainz, Mainz, Rhineland-Palatinate, Germany
- Department of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, South Korea
- Department of Radiology, Seoul National University Seoul Metropolitan Government Boramae Medical Center, Dongjak-gu, Seoul, The Republic of Korea
- Department of Medicine II, Leipzig University Medical Center, Leipzig, Sachsen, Germany
- Department of Gastroenterology, Marmara University School of Medicine, Istanbul, Turkey
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, Nottinghamshire, UK
- Diagnostic and Interventional Radiology, University Hospital Centre Montpellier, Montpellier, Languedoc-Roussillon, France
- Department of Surgical Disciplines, AIIMS, New Delhi, Delhi, India
- Department of Surgery, Monash University, Prahran, Victoria, Australia
- Department of Gastroenterology and Hepatology, Yokohama City University, Yokohama, Kanagawa, Japan
- Service d'Anatomie Pathologique et Centre de Ressources Biologiques, Hopital Jean Verdier, Paris, France
- Centre de Ressources Biologiques, Hopitaux Universitaires Paris-Seine-Saint-Denis, Bondy, Île-de-France, France
- Division of Hepatology, University Hospital Wurzburg, Wurzburg, Bayern, Germany
- Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts, USA
- Translational and Clinical Research Institute, Faculty of Medicine, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK
- ORCID
- Mózes, Ferenc Emil
- Trauner, Michael
- Boursier, Jerome
- Bugianesi, Elisabetta
- Younes, Ramy
- Petta, Salvatore
- Mahadeva, Sanjiv
- Newsome, Philip Noel
- Wong, Vincent Wai-Sun
- Labenz, Christian
- Wiegand, Johannes
- Karlas, Thomas
- Yılmaz, Yusuf
- Aithal, Guruprasad Padur
- Cassinotto, Christophe
- Ooi, Geraldine J
- Nakajima, Atsushi
- Geier, Andreas
- Pavlides, Michael
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2021-05-17
- Volume
- 71
- Issue
- 5
- Pages
- 1006-1019
- ISSN
- 0017-5749
- 1468-3288
- PMC
- PMC8995830
- Cited by
- 477
- References
- 8
- Language
- en
- Funders
- Innovative Medicines Initiative 2 (777377)
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