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Exploring potential predictors of low muscle mass and muscle loss in adults with cancer: A scoping review.

Clinical nutrition (Edinburgh, Scotland) 2026 Vol.56() p. 106531

Curtis AR, Prado CM, Orellana L, Daly RM, Bauer J, Denehy L, Edbrooke L, Baguley BJ, Alston L, Hardcastle N, Loeliger J, Moodie L, Sharma S, Kiss N

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[BACKGROUND AND AIMS] Early identification of cancer-related muscle loss is essential to enable timely interventions and mitigate adverse outcomes, including mortality.

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APA Curtis AR, Prado CM, et al. (2026). Exploring potential predictors of low muscle mass and muscle loss in adults with cancer: A scoping review.. Clinical nutrition (Edinburgh, Scotland), 56, 106531. https://doi.org/10.1016/j.clnu.2025.11.016
MLA Curtis AR, et al.. "Exploring potential predictors of low muscle mass and muscle loss in adults with cancer: A scoping review.." Clinical nutrition (Edinburgh, Scotland), vol. 56, 2026, pp. 106531.
PMID 41406628

Abstract

[BACKGROUND AND AIMS] Early identification of cancer-related muscle loss is essential to enable timely interventions and mitigate adverse outcomes, including mortality. This scoping review aimed to identify routinely assessed clinical measures associated with low muscle mass or muscle loss to inform future global screening and assessment.

[METHODS] Medline Complete, CINAHL Complete and Embase databases were screened from January 2000 to October 2024. Eligible studies investigated factors associated with cancer-related muscle loss, included adults undergoing or previously treated for cancer, and assessed or estimated muscle mass.

[RESULTS] The search identified 22,270 studies, of which 292 were included. Most involved patients with upper and/or lower gastrointestinal cancers (50 %), undergoing surgery (44 %) or chemotherapy (27 %). Two-thirds (65 %) assessed muscle mass using computed tomography (CT) at the third lumbar vertebra. Other methods included CT-defined muscle mass of single muscles (e.g., psoas) (15 %), bioelectrical impedance analysis or spectroscopy (12 %), dual-energy x-ray absorptiometry (DXA) (7 %) or other (3 %). As the benchmark for muscle mass assessment in oncology, results focused on CT-defined muscle mass, with comparison to other methods. Twenty factors were identified. Thirteen showed a consistent association in unadjusted and/or adjusted analysis: age, body mass index (BMI), performance status, muscle strength, physical function, arm and leg circumference, body weight, body fat, weight loss, fatigue, energy or protein intake, and physical inactivity.

[CONCLUSIONS] This review identified 13 factors consistently associated with CT-defined muscle loss which may help identify patients with cancer who are at risk and require further assessment and timely referral for evidence-based nutrition and exercise interventions.

MeSH Terms

Humans; Neoplasms; Sarcopenia; Adult; Muscle, Skeletal; Tomography, X-Ray Computed; Male; Body Composition; Female; Middle Aged; Absorptiometry, Photon; Aged

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