The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Sarcopenia and cachexia in the era of obesity: clinical and nutritional impact
Open accessAbstract
Our understanding of body composition (BC) variability in contemporary populations has significantly increased with the use of imaging techniques. Abnormal BC such as sarcopenia (low muscle mass) and obesity (excess adipose tissue) are predictors of poorer prognosis in a variety of conditions or clinical situations. As a catabolic illness, a defining feature of cancer is muscle loss. Although the conceptual model of wasting in cancer is typically conceived as involuntary weight loss leading to low body weight, recent studies have shown that both sarcopenia and cachexia can be present with obesity. The combination of low muscle and high adipose tissue (sarcopenic obesity) is an emerging abnormal BC phenotype prevalent across the body weight, and hence BMI spectra. Sarcopenia and sarcopenic obesity in cancer are in most instances occult conditions, which have been independently associated with higher incidence of chemotherapy toxicity, shorter time to tumour progression, poorer outcomes of surgery, physical impairment and shorter survival. Although the mechanisms are yet to be fully understood, the associations with poorer clinical outcomes emphasise the value of nutritional assessment as well as the need to develop appropriate interventions to countermeasure abnormal BC. Sarcopenia and sarcopenic obesity create diverse nutritional requirements, highlighting the compelling need for a more comprehensive and differentiated understanding of energy and protein requirements in this heterogeneous population.
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Cites
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Sarcopenic obesity: a critical appraisal of the current evidence
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“As discussed previously, sarcopenia can coexist with obesity (sarcopenic obesity), compounding health consequences for physical function and survival in cancer((11,22)).”
BackgroundSelf-citationMontano-Loza, A. J., Angulo, P., Meza-Junco, J., Prado, C. M. M., Sawyer, M. B., Beaumont, C., Esfandiari, N., Ma, M., & Baracos, V. E. (2016) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12039 · Cited by 512
Muscle loss and obesity: the health implications of sarcopenia and sarcopenic obesity
Wannamethee, S. G., & Atkins, J. L. (2015) · Proceedings of the Nutrition Society · doi:10.1017/s002966511500169x · Cited by 404
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Cited by
ESPEN expert group recommendations for action against cancer-related malnutrition
Arends, J., Baracos, V., Bertz, H., Bozzetti, F., Calder, P. C., Deutz, N. E. P., Erickson, N., Laviano, A., Lisanti, M. P., Lobo, D. N., et al. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.06.017 · Cited by 1,305
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Implications of low muscle mass across the continuum of care: a narrative review
Prado, C. M., Purcell, S. A., Alish, C., Pereira, S. L., Deutz, N. E., Heyland, D. K., Goodpaster, B. H., Tappenden, K. A., & Heymsfield, S. B. (2018) · Annals of Medicine · doi:10.1080/07853890.2018.1511918 · Cited by 286
Self-citationClinical implications of sarcopenic obesity in cancer
Carneiro, I. P., Mazurak, V. C., & Prado, C. M. (2016) · Current Oncology Reports · doi:10.1007/s11912-016-0546-5 · Cited by 162
Self-citationJohnson Stoklossa, C. A., Sharma, A. M., Forhan, M., Siervo, M., Padwal, R. S., & Prado, C. M. (2017) · Journal of Nutrition and Metabolism · doi:10.1155/2017/7307618 · Cited by 121
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Metadata
- Authors
- Prado, C. M., Cushen, S. J., Orsso, C. E., & Ryan, A. M.
- Venue
- Proceedings of the Nutrition Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2016-01-08
- Volume
- 75
- Issue
- 2
- Pages
- 188-198
- ISSN
- 0029-6651 (ISSN-L)
- 1475-2719
- OpenAlex
- W2285492133
- Cited by
- 300
- References
- 10
- FWCI
- 19.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Prado, C. M., Cushen, S. J., Orsso, C. E., & Ryan, A. M. (2016). Sarcopenia and cachexia in the era of obesity: clinical and nutritional impact. Proceedings of the Nutrition Society. https://doi.org/10.1017/s0029665115004279
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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