Hostname: page-component-6766d58669-rxg44 Total loading time: 0 Render date: 2026-05-18T02:07:00.520Z Has data issue: false hasContentIssue false
  • English
  • Français

RETRACTED – Comparative study of muscle content assessed by different anthropometric indicators in the diagnosis of Global Leaders Initiated Malnutrition Standards malnutrition in elderly patients with intermediate and advanced malignant tumours

Published online by Cambridge University Press:  10 March 2025

Dong Ke ,
Ning Ding ,
Jingwei Wang  and
Hui Wu Open the ORCID record for Hui Wu [Opens in a new window]
Dong Ke
Affiliation:
Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, People’s Republic of China
Ning Ding
Affiliation:
Department of Gerontology, Shanghai Tenth People’s Hospital, Shanghai, People’s Republic of China
Jingwei Wang
Affiliation:
Research Center, Shanghai Healink Medical Information Consulting Co., LTD, Shanghai 201102, People’s Republic of China
Hui Wu*
Affiliation:
Research Center, Shanghai Healink Medical Information Consulting Co., LTD, Shanghai 201102, People’s Republic of China
*
Corresponding author: Hui Wu; Email: will.wu@healinkmed.cn
Get access Rights & Permissions [Opens in a new window]

Abstract

This study aimed to assess the concordance between different anthropometric indexes in the Global Leaders Initiated Malnutrition Standards (GLIM) and the geriatric risk index (GNRI) for evaluating muscle mass, while also exploring performance-based criteria for GLIM muscle content suitable for elderly patients with intermediate and advanced tumours. A total of 312 patients admitted to Shanghai Tenth People’s Hospital between September 2022 and June 2023 were retrospectively included. Nutritional assessments were conducted using the GLIM framework, employing grip strength, upper arm circumference and calf circumference as criteria for muscle content evaluation. The diagnostic value of these tools was compared against the GNRI as a reference standard. Among the participants, 127 (40·71 %) were diagnosed as malnourished by GNRI, while the GLIM assessments yielded 138 (44·23 %), 128 (41·03 %) and 162 (51·92 %) malnutrition diagnoses based on grip strength, calf circumference and upper arm circumference, respectively. Both GNRI and GLIM-grip strength were significantly associated with complications and length of hospital stays. Notably, using GNRI as a reference, GLIM-grip strength demonstrated good consistency in diagnosing malnutrition (K value = 0·692, P< 0·001), with calf circumference having the highest diagnostic value. In conclusion, grip strength is a practical and effective performance-based criterion within the GLIM standards and has the potential to enhance malnutrition diagnosis in elderly patients with advanced malignancies, highlighting its relevance in nutritional science.

Keywords

Elderly patientsAdvanced malignant tumoursMalnutritionGlobal Leaders Initiated Malnutrition StandardsGeriatric risk indexMuscle content

Information

Type
Research Article
Information
British Journal of Nutrition , Volume 134 , Issue 4 , 28 August 2025 , pp. 344 - 351
Check for updates
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Nutrition Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Silva, FR, de Oliveira, MG, Souza, AS, et al. (2015) Factors associated with malnutrition in hospitalized cancer patients: a croos-sectional study. Nutr J 14, 123.CrossRefGoogle ScholarPubMed
Zhang, X, Huang, JX, Tang, M, et al. (2023) A promising prognostic grading system incorporating weight loss and inflammation in patients with advanced cancer. J Cachexia, Sarcopenia Muscle 14, 2969–2980.CrossRefGoogle ScholarPubMed
Cederholm, T, Jensen, GL, Correia, M, et al. (2019) GLIM criteria for the diagnosis of malnutrition - a consensus report from the global clinical nutrition community. Clin Nutr (Edinburgh, Scotland) 38, 1–9.CrossRefGoogle ScholarPubMed
Barazzoni, R, Jensen, GL, Correia, M, et al. (2022) Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition. Clin Nutr (Edinburgh, Scotland) 41, 1425–1433.CrossRefGoogle ScholarPubMed
Chen, XY, Lin, Y, Yin, SY, et al. (2022) The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients. Front Nutr 9, 1061944.CrossRefGoogle Scholar
Bouillanne, O, Morineau, G, Dupont, C, et al. (2005) Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr 82, 777–783.CrossRefGoogle ScholarPubMed
Esteves, CL, Ohara, DG, Matos, AP, et al. (2020) Anthropometric indicators as a discriminator of Sarcopenia in community-dwelling older adults of the Amazon region: a cross-sectional study. BMC Geriatrics 20, 518.CrossRefGoogle ScholarPubMed
Chen, LK, Woo, J, Assantachai, P, et al. (2020) Asian Working Group for Sarcopenia: 2019 consensus update on Sarcopenia diagnosis and treatment. J Am Med Directors Assoc 21, 300–307.e302.CrossRefGoogle Scholar
Chow, J & Kuza, CM (2022) Predicting mortality in elderly trauma patients: a review of the current literature. Curr Opin Anaesthesiol 35, 160–165.CrossRefGoogle ScholarPubMed
Santos, BC, Fonseca, ALF, Ferreira, LG, et al. (2022) Different combinations of the GLIM criteria for patients awaiting a liver transplant: poor performance for malnutrition diagnosis but a potentially useful prognostic tool. Clin Nutr (Edinburgh, Scotland) 41, 97–104.CrossRefGoogle ScholarPubMed
Basset, C, Collin, L, Vielh, P, et al. (2023) [Serous fluid cytopathology: international system]. Ann Pathol 43, 96–113.CrossRefGoogle ScholarPubMed
Chun, YJ, Kim, KJ, Lee, JY, et al. (2023) The prognostic value of comprehensive geriatric assessment on the management of older patients with small cell lung cancer. Korean J Intern Med 38, 254–263.CrossRefGoogle ScholarPubMed
da Silva, JR Jr, Wiegert, EVM, Oliveira, L, et al. (2019) Different methods for diagnosis of Sarcopenia and its association with nutritional status and survival in patients with advanced cancer in palliative care. Nutrition 60, 48–52.CrossRefGoogle ScholarPubMed
Kanemura, T, Takeoka, T, Sugase, T, et al. (2024) Significance of comprehensive analysis of preoperative Sarcopenia based on muscle mass, muscle strength, and physical function for the prognosis of patients with esophageal cancer. Ann Surg Oncol 31, 818–826.CrossRefGoogle ScholarPubMed
Cereda, E, Tancredi, R, Klersy, C, et al. (2022) Muscle weakness as an additional criterion for grading Sarcopenia-related prognosis in patients with cancer. Cancer Med 11, 308–316.CrossRefGoogle Scholar
Polański, J, Świątoniowska-Lonc, N, Kołaczyńska, S, et al. (2023) Diet as a factor supporting lung cancer treatment-a systematic review. Nutrients 15, 1477.CrossRefGoogle ScholarPubMed
Rick, O, Dauelsberg, T & Kalusche-Bontemps, EM (2017) Oncological rehabilitation. Oncol Res Treat 40, 772–777.CrossRefGoogle ScholarPubMed
Hadzibegovic, S, Porthun, J, Lena, A, et al. (2023) Hand grip strength in patients with advanced cancer: a prospective study. J Cachexia Sarcopenia Muscle 14, 1682–1694.CrossRefGoogle ScholarPubMed
Guo, ZQ, Yu, JM, Li, W, et al. (2020) Survey and analysis of the nutritional status in hospitalized patients with malignant gastric tumors and its influence on the quality of life. Support Care Cancer 28, 373–380.Google ScholarPubMed
Won, SH, Hiratsuka, Y, Suh, SY, et al. (2023) Mid-upper arm circumference as an indicator of quality of life of patients with advanced cancer. J Palliat Care 38, 24–29.CrossRefGoogle Scholar
Zhuang, CL, Zhang, FM, Xu, HX, et al. (2022) Reference values of low body mass index, mid-upper arm circumference, and calf circumference in cancer patients: a nationwide multicenter observational study. Nutrition 99–100, 111688.CrossRefGoogle ScholarPubMed
Cruz-Jentoft, AJ, Bahat, G, Bauer, J, et al. (2019) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48, 16–31.CrossRefGoogle ScholarPubMed
Zhou, LP, Yu, DY, Ma, BW, et al. (2021) Feasibility of substituting handgrip strength for muscle mass as a constituent standard in the Global Leadership Initiative on Malnutrition for diagnosing malnutrition in patients with gastrointestinal cancers. Nutrition (Burbank, Los Angeles County, Calif) 84, 111044.CrossRefGoogle ScholarPubMed
Tostes, NF, da Cunha Antunes Saraiva, D & Martucci, RB (2021) Association between nutritional status and muscle strength in pediatric cancer patients. Clin Nutr ESPEN 43, 436–441.CrossRefGoogle ScholarPubMed
Xie, L, Jiang, J, Fu, H, et al. (2022) Malnutrition in relation to muscle mass, muscle quality, and muscle strength in hospitalized older adults. J Am Med Directors Assoc 23, 722–728.CrossRefGoogle ScholarPubMed
Hsu, KJ, Liao, CD, Tsai, MW, et al. (2019) Effects of exercise and nutritional intervention on body composition, metabolic health, and physical performance in adults with Sarcopenic obesity: a meta-analysis. Nutrients 11, 2163.CrossRefGoogle ScholarPubMed