The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Cancer Cachexia in the Age of Obesity: Skeletal Muscle Depletion Is a Powerful Prognostic Factor, Independent of Body Mass Index
Abstract
Purpose: Emerging evidence suggests muscle depletion predicts survival of patients with cancer. Patients and Methods: At a cancer center in Alberta, Canada, consecutive patients with cancer (lung or GI; N = 1,473) were assessed at presentation for weight loss history, lumbar skeletal muscle index, and mean muscle attenuation (Hounsfield units) by computed tomography (CT). Univariate and multivariate analyses were conducted. Concordance (c) statistics were used to test predictive accuracy of survival models. Results: Body mass index (BMI) distribution was 17% obese, 35% overweight, 36% normal weight, and 12% underweight. Patients in all BMI categories varied widely in weight loss, muscle index, and muscle attenuation. Thresholds defining associations between these three variables and survival were determined using optimal stratification. High weight loss, low muscle index, and low muscle attenuation were independently prognostic of survival. A survival model containing conventional covariates (cancer diagnosis, stage, age, performance status) gave a c statistic of 0.73 (95% CI, 0.67 to 0.79), whereas a model ignoring conventional variables and including only BMI, weight loss, muscle index, and muscle attenuation gave a c statistic of 0.92 (95% CI, 0.88 to 0.95; P < .001). Patients who possessed all three of these poor prognostic variables survived 8.4 months (95% CI, 6.5 to 10.3), regardless of whether they presented as obese, overweight, normal weight, or underweight, in contrast to patients who had none of these features, who survived 28.4 months (95% CI, 24.2 to 32.6; P < .001). Conclusion: CT images reveal otherwise occult muscle depletion. Patients with cancer who are cachexic by the conventional criterion (involuntary weight loss) and by two additional criteria (muscle depletion and low muscle attenuation) share a poor prognosis, regardless of overall body weight.
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(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580
Definition and classification of cancer cachexia: an international consensus
Fearon, K., Strasser, F., Anker, S. D., Bosaeus, I., Bruera, E., Fainsinger, R. L., Jatoi, A., Loprinzi, C., MacDonald, N., Mantovani, G., et al. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(10)70218-7 · Cited by 5,767
Self-citationPrado, C. M., Lieffers, J. R., McCargar, L. J., Reiman, T., Sawyer, M. B., Martin, L., & Baracos, V. E. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70153-0 · Cited by 3,238
Self-citationGeriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients
Bouillanne, O., Morineau, G., Dupont, C., Coulombel, I., Vincent, J.-P., Nicolis, I., Benazeth, S., Cynober, L., & Aussel, C. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.4.777 · Cited by 2,441
Prognostic effect of weight loss prior tochemotherapy in cancer patients
Dewys, W. D., Begg, C., Lavin, P. T., Band, P. R., Bennett, J. M., Bertino, J. R., Cohen, M. H., Douglass, H. O., Engstrom, P. F., Ezdinli, E. Z., et al. (1980) · The American Journal of Medicine · doi:10.1016/s0149-2918(05)80001-3 · Cited by 2,354
Mourtzakis, M., Prado, C. M. M., Lieffers, J. R., Reiman, T., McCargar, L. J., & Baracos, V. E. (2008) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h08-075 · Cited by 2,224
Self-citationShen, W., Punyanitya, M., Wang, Z., Gallagher, D., St.-Onge, M.-P., Albu, J., Heymsfield, S. B., & Heshka, S. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00744.2004 · Cited by 1,692
Guigoz, Y., Vellas, B., & Garry, P. J. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1996.tb03793.x · Cited by 1,564
Research works printed but not linked: 1
- Payette H, 2000, J Nutr Health Aging, 4, 223
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ESPEN guidelines on nutrition in cancer patients
Arends, J., Bachmann, P., Baracos, V., Barthelemy, N., Bertz, H., Bozzetti, F., Fearon, K., Hütterer, E., Isenring, E., Kaasa, S., et al. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2016.07.015 · Cited by 3,114
Self-citationBaracos, V. E., Martin, L., Korc, M., Guttridge, D. C., & Fearon, K. C. H. (2018) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.105 · Cited by 1,738
Self-citationEASL Clinical Practice Guidelines on nutrition in chronic liver disease
Merli, M., Berzigotti, A., Zelber-Sagi, S., Dasarathy, S., Montagnese, S., Genton, L., Plauth, M., & Parés, A. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2018.06.024 · Cited by 1,130
Early Detection of Pancreatic Cancer: Opportunities and Challenges
Singhi, A. D., Koay, E. J., Chari, S. T., & Maitra, A. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.01.259 · Cited by 841
Measurement of skeletal muscle radiation attenuation and basis of its biological variation
Aubrey, J., Esfandiari, N., Baracos, V. E., Buteau, F. A., Frenette, J., Putman, C. T., & Mazurak, V. C. (2014) · Acta Physiologica · doi:10.1111/apha.12224 · Cited by 720
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Metadata
- Authors
- Martin, L., Birdsell, L., MacDonald, N., Reiman, T., Clandinin, M. T., McCargar, L. J., Murphy, R., Ghosh, S., Sawyer, M. B., & Baracos, V. E.
- Venue
- Journal of Clinical Oncology
- Published
- 2013-04-20
- Volume
- 31
- Issue
- 12
- Pages
- 1539-1547
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2118558111
- Cited by
- 2,680
- References
- 32
- FWCI
- 55.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Martin, L., Birdsell, L., MacDonald, N., Reiman, T., Clandinin, M. T., McCargar, L. J., Murphy, R., Ghosh, S., Sawyer, M. B., & Baracos, V. E. (2013). Cancer Cachexia in the Age of Obesity: Skeletal Muscle Depletion Is a Powerful Prognostic Factor, Independent of Body Mass Index. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2012.45.2722
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