Schattenberg, Jörn M.
Universitätsklinikum des Saarlandes · Saarland University
34 papers on CoChatORCID 0000-0002-4224-4703
Most cited papers
- Verified
A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures
Govaere, O., Hasoon, M., Alexander, L., Cockell, S., Tiniakos, D., Ekstedt, M., Schattenberg, J. M., Boursier, J., Bugianesi, E., Ratziu, V., et al. (2023) · Nature Metabolism
Liver Disease Diagnosis and TreatmentAlcohol Consumption and Health Effects
Cited by 178
- Verified
Use of HOMA-IR to diagnose non-alcoholic fatty liver disease: a population-based and inter-laboratory study
Isokuortti, E., Zhou, Y., Peltonen, M., Bugianesi, E., Clement, K., Bonnefont-Rousselot, D., Lacorte, J.-M., Gastaldelli, A., Schuppan, D., Schattenberg, J. M., et al. (2017) · Diabetologia
Liver Disease Diagnosis and TreatmentDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 120
- Verified
Standardisation of diet and exercise in clinical trials of NAFLD-NASH: Recommendations from the Liver Forum
Glass, O., Filozof, C., Noureddin, M., Berner-Hansen, M., Schabel, E., Omokaro, S. O., Schattenberg, J. M., Barradas, K., Miller, V., Francque, S., et al. (2020) · Journal of Hepatology
Liver Disease Diagnosis and TreatmentLiver Diseases and Immunity
Cited by 89
- Verified
Norursodeoxycholic acid versus placebo in the treatment of non-alcoholic fatty liver disease: a double-blind, randomised, placebo-controlled, phase 2 dose-finding trial
Traussnigg, S., Schattenberg, J. M., Demir, M., Wiegand, J., Geier, A., Teuber, G., Hofmann, W. P., Kremer, A. E., Spreda, F., Kluwe, J., et al. (2019) · The Lancet Gastroenterology & Hepatology
Liver Disease Diagnosis and TreatmentLiver Diseases and Immunity
Cited by 88
- Verified
Implementation of a liver health check in people with type 2 diabetes
Abeysekera, K. W. M., Valenti, L., Younossi, Z., Dillon, J. F., Allen, A. M., Noureddin, M., Rinella, M. E., Tacke, F., Francque, S., Ginès, P., et al. (2024) · The Lancet Gastroenterology & Hepatology
Liver Disease Diagnosis and TreatmentLiver Disease and Transplantation
Cited by 63
- Verified
A sequential algorithm combining ADAPT and liver stiffness can stage metabolic-associated fatty liver disease in hospital-based and primary care patients
Eslam, M., Wong, G. L.-H., Hashem, A. M., Chan, H. L.-Y., Nielsen, M. J., Leeming, D. J., Chan, A. W.-H., Chen, Y., Duffin, K. L., Karsdal, M., et al. (2021) · American Journal of Gastroenterology
Liver Disease Diagnosis and TreatmentLiver Diseases and Immunity
Cited by 53
- Verified
Quantitative modeling of human liver reveals dysregulation of glycosphingolipid pathways in nonalcoholic fatty liver disease
Sen, P., Govaere, O., Sinioja, T., McGlinchey, A., Geng, D., Ratziu, V., Bugianesi, E., Schattenberg, J. M., Vidal-Puig, A., Allison, M., et al. (2022) · iScience
Liver Disease Diagnosis and TreatmentMetabolomics and Mass Spectrometry Studies
Cited by 28
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OS-124 Identification and validation of pre-identified morphological baseline features for prediction of fibrosis progression in MAESTRO-NASH
Harrison, S. A., Taub, R., Labriola, D., Zhang, H., Chng, E., Ren, Y., Tai, D., & Schattenberg, J. M. (2024) · Journal of Hepatology
Liver Disease Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging
Cited by 3
- Verified
WED-263 A machine learning approach to identify patient features associated with metabolic dysfunction-associated steatohepatitis from the United Kingdom biobank
Schattenberg, J. M., Gastaldelli, A., Malhi, H., Allen, A. M., Noureddin, M., Karamchandani, U., Romero, J., Henstock, P., Emir, B., & Sanyal, A. J. (2024) · Journal of Hepatology
Liver Disease Diagnosis and TreatmentArtificial Intelligence in Healthcare
Cited by 1
- Verified
SAT-214 Using machine learning models to predict baseline fibrosis stage in patients from phase 3 resmetirom trials (MAESTRO-NAFLD and MAESTRO-NASH)
Schattenberg, J. M., Anstee, Q. M., Harrison, S. A., Noureddin, M., Taub, R., Labriola, D., Priel, J., & Padmanabhan, K. (2024) · Journal of Hepatology
Liver Disease Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging
Cited by 1
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