2019
DOI: 10.21037/jtd.2019.08.16
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Effect of progressive sarcopenia during postoperative 6 months on long-term prognosis of completely resected lung cancer

Abstract: Background: Preoperative sarcopenia has been indicated to be a potential prognostic factor for patients after complete resection of lung cancer. This study evaluated whether changes in the skeletal muscle mass index (SMI) over postoperative 6 months could predict long-term prognosis from 6 months after complete resection of non-small cell lung cancer (NSCLC). Methods: This retrospective study analyzed data of 468 patients who underwent curative lobar resection for non-small cell lung cancer at our hospital. Th… Show more

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Cited by 6 publications
(10 citation statements)
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References 32 publications
(42 reference statements)
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“…As indicated by the currently proposed definitions and severity grading systems for both generic and cancer cachexia (1,2), an absolute value of a surrogate marker for cachexia should be considered alongside a decrease in value. In our former study (14), preoperative BMI was not identified as a risk factor. In the present study, the influence of the preoperative BMI was clarified mainly because we focused on large population of heavy-smoking males.…”
Section: Discussionmentioning
confidence: 69%
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“…As indicated by the currently proposed definitions and severity grading systems for both generic and cancer cachexia (1,2), an absolute value of a surrogate marker for cachexia should be considered alongside a decrease in value. In our former study (14), preoperative BMI was not identified as a risk factor. In the present study, the influence of the preoperative BMI was clarified mainly because we focused on large population of heavy-smoking males.…”
Section: Discussionmentioning
confidence: 69%
“…In our previous study (14), the optimal cut-off value of the 6-month SMI change in heavy smokers with BI ≥600 (N=196) was −10.2%. Similarly, in this study, the ROC analysis for mortality indicated the optimal cut-off value for the 6-month change in SMI was −10.0% [area under the curve (AUC): 0.56…”
Section: Identifying the Optimal Smi Change Cut-off Valuementioning
confidence: 84%
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