Sarcopenia and mortality in cancer: A meta-analysis

Abstract

Objectives: The aim of this meta-analysis is to comprehensively evaluate the effects of lean mass on all-cause mortality across different cancer types.

Methods: This is a meta-analysis. Cohort studies on lean mass and mortality published before December 20, 2017 were obtained by systematic search on PubMed, Cochrane Library, and Embase. Inclusion criteria were cohort studies reporting lean mass measurements by dual-energy X-ray absorptiometry, bioimpedance analysis or computed tomography, and with all-cause mortality as the study outcome. Exclusion criteria were studies using muscle mass surrogates, anthropometric measurement of muscle, rate of change in muscle mass, and sarcopenia defined by composite criteria. Hazard ratios (HRs) and 95% confidence intervals (CIs) of low/reduced lean mass on cancer mortality were pooled with a random-effects model. Subgroup analysis stratifying studies according to cancer type and measurement index was performed.

Results: Altogether 100 studies evaluated the association between lean mass and cancer mortality. The overall pooled HR on cancer mortality was 1.41 (95% CI, 1.24 to 1.59) for every standard deviation decrease in lean mass and 1.69 (95% CI, 1.56 to 1.83) for patients with sarcopenia (binary cutoffs). Overall mortality was also significantly associated with sarcopenia in across various cancer types, except for hematopoietic, breast, ovarian and endometrial, and prostate cancer.

Conclusions: The robust association of decreased lean mass with increased mortality further justified the importance of developing clinical guidelines for managing sarcopenia in cancer patients. Public health initiatives aiming at promoting awareness of muscle health in susceptible individuals are urgently needed.

Keywords: Cancer; Lean mass; Sarcopenia.

Fig. 1

The meta-analysis of reduced lean mass (per SD decrease) on mortality. Keys: Full model refers to analysis adjusted for any of the followings (either alone or in combination): age, sex, ethnicity, height, weight or body mass index, and other confounding factors. HR, hazard ratio; CI, confidence interval; SD, standard deviation.

Fig. 2

The meta-analysis of low lean mass on mortality. Keys: Full model refers to analysis adjusted for any of the followings (either alone or in combination): age, sex, ethnicity, height, weight or body mass index, and other confounding factors. HR, hazard ratio; CI, confidence interval; SD, standard deviation.