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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2017 Oct;26(10):1576. doi: 10.1158/1055-9965.EPI-17-0613

Explaining the Obesity Paradox – Reply

Bette J Caan 1, Jeffrey A Meyerhardt 2, Carla M Prado 3
PMCID: PMC5773262  NIHMSID: NIHMS893282  PMID: 28971997

Dear editor

We appreciate the letter of Winkels et al. (1) who with two pertinent points, underscore the importance of providing data that will allow readers to compare our results to those from other studies. First, as noted in their letter, 17% of our patients had their CT scans after colorectal cancer surgery which could affect their body composition. Even though all scans were taken before administration of chemotherapy, we agree that a sensitivity analyses of only patients who had CT scans before surgery would provide the best estimate of at- diagnosis body composition. Our analyses of those patients (n=2701) whose CT scan was administered before surgery found Hazard Ratios (HR) for the effect of sarcopenia on both overall and CRC mortality were almost identical to those in the larger patient population reported in our original paper (2). Including only pre-surgery CT scans, the HR for sarcopenia and overall mortality was HR 1.21 (95% CI 1.02,1.42) compared to HR 1.27 (95% CI 1.09,1.48) reported in our paper; and for sarcopenia and CRC specific mortality, the HR was 1.41 (95% 1.14,1.75) compared to HR 1.46 (95% CI 1.19,1.79) reported in our paper. Other results reported in Table 2 were similar as well.

Secondly, in response to Winkels et al.’s question on our use of muscle as a variable, we chose to present skeletal muscle area at the L3 in tertiles, with simultaneous adjustment for BMI (body mass index), a measure of body size, as a demonstration that absolute muscle area is also an important predictor of survival. As requested, we reanalyzed the data in Table 2 and Figure 3 using SMI (skeletal muscle index), substituting sarcopenia to define low muscle, instead of the lowest tertile of absolute muscle area. Again, results were almost identical. In Figure 3, when sarcopenia was used to define low muscle instead of absolute muscle area, 57% of those with a BMI between 25–30 kg/m2 were considered normal (neither high adiposity or low muscle) compared to 58.6% reported in our paper. Similarly, in the phenotype analyses (Table 2), effects for low muscle, or, low muscle and high adiposity, on overall mortality defined by sarcopenia were similar, even slightly stronger with HR 1.42 (95% CI; 1.18,1.70) and HR 1.49 (95% CI 1.16, 1.92) respectively, compared to HR 1.33 (95% CI; 1.10,1.61) and HR 1.40 (95% CI; 1.03,1.90) when low muscle was defined by absolute muscle area.

Acknowledgments

Financial support: B.J. Caan (PI) CA175011 Body Composition, Weight, and Colon Cancer Survival

References

  • 1.Winkels RM, van Zutphen M, Kampman E, van Baar H, Beijer S. Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study) – Letter. Cancer Epidemiology Biomarkers and Prevention. doi: 10.1158/1055-9965.EPI-17-0200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Caan BJ, Meyerhardt JA, Kroenke CH, Alexeeff S, Xiao J, Weltzien E, et al. Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study) Cancer Epidemiology Biomarkers and Prevention. 2017 May 15; doi: 10.1158/1055-9965.EPI-17-0200. [DOI] [PMC free article] [PubMed] [Google Scholar]

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