StomachMyosteatosis predicts prognosis after radical gastrectomy for gastric cancer: A propensity score–matched analysis from a large-scale cohort
Section snippets
Patients
From a prospectively collected database, consecutive patients with primary gastric cancer undergoing radical gastrectomy at Wenzhou Medical University between December 2008 and August 2013 were identified. Exclusion criteria included cancer metastasis confirmed preoperatively or during surgery, a diagnosis of double cancer or emergency surgery. Subsequently, patients with no preoperative abdominal computed tomography (CT) or incomplete data were excluded. The study was approved by the WENZHOU
Population
From December 2008 to August 2013, a total of 1,314 patients were analyzed and 341 were excluded. Thus, the total sample size included 973 patients who received radical surgery for gastric cancer. An overview of patient selection process is shown in Fig 1. There were 460 deaths; the median follow-up time was 80 months. Patients’ demographic and clinicopathologic characteristics are listed in Table I.
The sex-specific cutoff values for L3 mean muscle attenuation associated with OS were 38.5 HU
Discussion
Muscle depletion is characterized by reduced muscle size (termed sarcopenia18) and declined muscle quality (termed myosteatosis8), which is distinct from ordinary weight loss or cachexia and can occur in patients in any weight category, from underweight to obese.16, 19 These pathologic phenomena usually are associated with physical disability and impaired survival in cancer patients.20, 21 The predictive role of muscle mass is well established; however, less is known about the relationship
Conflicts of interest
The authors have indicated that they have no conflict of interest regarding the content of this article.
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Supported by the National Natural Science Foundation of China (No. 81800795,81770884), Shanghai Science and Technology Committee (No. 16411954200), Shanghai Municipal Commission of Health and Family Planning (No. 20184Y0301), Fundamental Research Funds for the Central Universities (No. 22120180051).
Cheng-Le Zhuang and Xian Shen contributed equally to this work.