The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Japan Society of Hepatology guidelines for sarcopenia in liver disease (1st edition): Recommendation from the working group for creation of sarcopenia assessment criteria
Abstract
Sarcopenia is defined by muscle loss and muscle dysfunction. Sarcopenia is classified into primary and secondary types, based on the cause. Primary sarcopenia is mainly aging‐related sarcopenia, whereas secondary sarcopenia is the reduced muscle mass and strength that accompanies an underlying disease. Given the essential role of the liver in metabolism, secondary sarcopenia due to nutritional disorders or other factors can frequently occur in liver disease. In 2015, the Japan Society of Hepatology (JSH) decided to establish its own assessment criteria for sarcopenia in liver disease because the number of liver disease patients with sarcopenia is expected to increase and there is cumulative evidence to indicate sarcopenic patients have poor clinical outcomes. A working group to create assessment criteria for sarcopenia has thus been established by the JSH. In this article, we summarize the current knowledge with regard to sarcopenia and present the assessment criteria for sarcopenia in liver disease proposed by the JSH (1st edition). To the best of our knowledge, this is globally the first proposed assessment criteria for sarcopenia specializing in liver disease.
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Cites
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Regulation of skeletal muscle mass in mice by a new TGF-p superfamily member
McPherron, A. C., Lawler, A. M., & Lee, S.-J. (1997) · Nature · doi:10.1038/387083a0 · Cited by 4,013
Fielding, R. A., Vellas, B., Evans, W. J., Bhasin, S., Morley, J. E., Newman, A. B., Abellan van Kan, G., Andrieu, S., Bauer, J., Breuille, D., et al. (2011) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2011.01.003 · Cited by 3,256
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Katsanos, C. S., Kobayashi, H., Sheffield-Moore, M., Aarsland, A., & Wolfe, R. R. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00488.2005 · Cited by 923
The central role of muscle stem cells in regenerative failure with aging
Blau, H. M., Cosgrove, B. D., & Ho, A. T. V. (2015) · Nature Medicine · doi:10.1038/nm.3918 · Cited by 437
Aging of skeletal muscle fibers
Miljkovic, N., Lim, J.-Y., Miljkovic, I., & Frontera, W. R. (2015) · Annals of Rehabilitation Medicine · doi:10.5535/arm.2015.39.2.155 · Cited by 309
Impact of quality as well as quantity of skeletal muscle on outcomes after liver transplantation
Hamaguchi, Y., Kaido, T., Okumura, S., Fujimoto, Y., Ogawa, K., Mori, A., Hammad, A., Tamai, Y., Inagaki, N., & Uemoto, S. (2014) · Liver Transplantation · doi:10.1002/lt.23970 · Cited by 242
Regenerative decline of stem cells in sarcopenia
Sousa-Victor, P., & Muñoz-Cánoves, P. (2016) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2016.02.002 · Cited by 147
Gene Expression in Response to Muscle Stretch
Goldspink, G., Williams, P., & Simpson, H. (2002) · Clinical Orthopaedics and Related Research · doi:10.1097/00003086-200210001-00017 · Cited by 86
Cited by
Sbrignadello, S., Göbl, C., & Tura, A. (2022) · Nutrients · doi:10.3390/nu14091864 · Cited by 68
Sarcopenic Obesity in Liver Cirrhosis: Possible Mechanism and Clinical Impact
Nishikawa, H., Enomoto, H., Nishiguchi, S., & Iijima, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22041917 · Cited by 56
Self-citationMiao, Y., Xie, L., Song, J., Cai, X., Yang, J., Ma, X., Chen, S., & Xie, P. (2024) · Physiological Reports · doi:10.14814/phy2.15917 · Cited by 50
“In contrast, secondary sarcopenia is associated with various diseases (Figure 1) (Bauer et al., 2019; Chen et al., 2020; Nishikawa et al., 2016), such as intensive care unit-acquired weakness (ICU-AW), amyotrophic lateral sclerosis (ALS), and muscular atrophy due to inadequate exercise and…”
BackgroundOsteosarcopenia in NAFLD/MAFLD: an underappreciated clinical problem in chronic liver disease
Musio, A., Perazza, F., Leoni, L., Stefanini, B., Dajti, E., Menozzi, R., Petroni, M. L., Colecchia, A., & Ravaioli, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087517 · Cited by 26
Láinez Ramos-Bossini, A. J., Gámez Martínez, A., Luengo Gómez, D., Valverde-López, F., Morillo Gil, A. J., González Flores, E., Salmerón Ruiz, Á., Jiménez Gutiérrez, P. M., Melguizo, C., & Prados, J. (2025) · Cancers · doi:10.3390/cancers17040607 · Cited by 15
Metadata
- Authors
- Nishikawa, H., Shiraki, M., Hiramatsu, A., Moriya, K., Hino, K., & Nishiguchi, S.
- Venue
- Hepatology Research
- Publisher
- Wiley
- Published
- 2016-09
- Volume
- 46
- Issue
- 10
- Pages
- 951-963
- ISSN
- 1386-6346 (ISSN-L)
- 1872-034X
- OpenAlex
- W2492424475
- Cited by
- 656
- References
- 10
- FWCI
- 23.73
- Type
- journal article
- Language
- en
- Open access
- closed
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