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Nutritional Assessment Tools for Patients with Cancer: A Narrative Review

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Abstract

Cancer patients are at high risk of malnutrition, which can lead to adverse health outcomes such as prolonged hospitalization, increased complications, and increased mortality. Accurate and timely nutritional assessment plays a critical role in effectively managing malnutrition in these patients. However, while many tools exist to assess malnutrition, there is no universally accepted standard. Although different tools have their own strengths and limitations, there is a lack of narrative reviews on nutritional assessment tools for cancer patients. To address this knowledge gap, we conducted a non-systematic literature search using PubMed, Embase, Web of Science, and the Cochrane Library from their inception until May 2023. A total of 90 studies met our selection criteria and were included in our narrative review. We evaluated the applications, strengths, and limitations of 4 commonly used nutritional assessment tools for cancer patients: the Subjective Global Assessment (SGA), Patient-Generated Subjective Global Assessment (PG-SGA), Mini Nutritional Assessment (MNA), and Global Leadership Initiative on Malnutrition (GLIM). Our findings revealed that malnutrition was associated with adverse health outcomes. Each of these 4 tools has its applications, strengths, and limitations. Our findings provide medical staff with a foundation for choosing the optimal tool to rapidly and accurately assess malnutrition in cancer patients. It is essential for medical staff to be familiar with these common tools to ensure effective nutritional management of cancer patients.

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References

  1. Arends J, Baracos V, Bertz H, et al. ESPEN expert group recommendations for action against cancer-related malnutrition. Clin Nutr, 2017,36(5):1187–1196

    Article  CAS  PubMed  Google Scholar 

  2. Silva FR, de Oliveira MG, Souza AS, et al. Factors associated with malnutrition in hospitalized cancer patients: a croos-sectional study. Nutr J, 2015,14:123

    Article  PubMed  PubMed Central  Google Scholar 

  3. Planas M, Álvarez-Hernández J, León-Sanz M, et al. Prevalence of hospital malnutrition in cancer patients: a sub-analysis of the PREDyCES® study. Support Care Cancer, 2016,24(1):429–435

    Article  PubMed  Google Scholar 

  4. Freijer K, Tan SS, Koopmanschap MA, et al. The economic costs of disease related malnutrition. Clin Nutr, 2013,32(1):136–141

    Article  PubMed  Google Scholar 

  5. Mantzorou M, Koutelidakis A, Theocharis S, et al. Clinical Value of Nutritional Status in Cancer: What is its Impact and how it Affects Disease Progression and Prognosis? Nutr Cancer, 2017,69(8):1151–1176

    Article  PubMed  Google Scholar 

  6. Ravasco P. Nutrition in Cancer Patients. J Clin Med, 2019,8(8):1211

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Baracos VE. Cancer-associated malnutrition. Eur J Clin Nutr, 2018,72(9):1255–1259

    Article  PubMed  Google Scholar 

  8. Cederholm T, Barazzoni R, Austin P, et al. ESPEN guidelines on definitions and terminology of clinical nutrition. Clin Nutr, 2017,36(1):49–64

    Article  CAS  PubMed  Google Scholar 

  9. Meza-Valderrama D, Marco E, Dávalos-Yerovi V, et al. Sarcopenia, Malnutrition, and Cachexia: Adapting Definitions and Terminology of Nutritional Disorders in Older People with Cancer. Nutrients, 2021,13(3):761

    Article  PubMed  PubMed Central  Google Scholar 

  10. Chen XY, Zhang XZ, Ma BW, et al. A comparison of four common malnutrition risk screening tools for detecting cachexia in patients with curable gastric cancer. Nutrition, 2020,70:110498

    Article  PubMed  Google Scholar 

  11. Gaafer OU, Zimmers TA. Nutrition challenges of cancer cachexia. JPEN J Parenter Enteral Nutr, 2021,45(S2):16–25

    Article  PubMed  PubMed Central  Google Scholar 

  12. Nishikawa H, Goto M, Fukunishi S, et al. Cancer Cachexia: Its Mechanism and Clinical Significance. Int J Mol Sci, 2021,22(16):8491

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing, 2019,48(4):601

    Article  PubMed  PubMed Central  Google Scholar 

  14. Williams GR, Rier HN, McDonald A, et al. Sarcopenia & aging in cancer. J Geriatr Oncol, 2019,10(3):374–377

    Article  PubMed  Google Scholar 

  15. Schneider SM, Correia M. Epidemiology of weight loss, malnutrition and sarcopenia: A transatlantic view. Nutrition, 2020,69:110581

    Article  PubMed  Google Scholar 

  16. Sánchez-Torralvo FJ, Ruiz-García I, Contreras-Bolívar V, et al. CT-Determined Sarcopenia in GLIM-Defined Malnutrition and Prediction of 6-Month Mortality in Cancer Inpatients. Nutrients, 2021,13(8):2647

    Article  PubMed  PubMed Central  Google Scholar 

  17. Bauer JM, Kaiser MJ, Sieber CC. Evaluation of nutritional status in older persons: nutritional screening and assessment. Curr Opin Clin Nutr Metab Care, 2010,13(1):8–13

    Article  PubMed  Google Scholar 

  18. Yárnoz-Esquíroz P, Lacasa C, Riestra M, et al. Clinical and financial implications of hospital malnutrition in Spain. Eur Eat Disord Rev, 2019,27(6):581–602

    Article  PubMed  Google Scholar 

  19. Schindler K, Pernicka E, Laviano A, et al. How nutritional risk is assessed and managed in European hospitals: a survey of 21,007 patients findings from the 2007–2008 cross-sectional nutritionDay survey. Clin Nutr, 2010,29(5):552–559

    Article  PubMed  Google Scholar 

  20. Detsky AS, Baker J, Johnston N, et al. What is subjective global assessment of nutritional status?. JPEN J Parenter Enteral Nutr, 1987,11(1):8–13

    Article  CAS  PubMed  Google Scholar 

  21. Bora H, Bhattacharyya M, Kalita AK, et al. Subjective Global Assessment of Nutritional Status in Head and Neck Cancer Patients Treated with Radiotherapy - A Prospective Observational Study from North East India. Nutr Cancer, 2023,75(1):357–367

    Article  PubMed  Google Scholar 

  22. Sánchez-Torralvo FJ, González-Poveda I, García-Olivares M, et al. Poor Physical Performance Is Associated with Postoperative Complications and Mortality in Preoperative Patients with Colorectal Cancer. Nutrients, 2022,14(7):1484

    Article  PubMed  PubMed Central  Google Scholar 

  23. Izuegbuna OO, Olawumi HO, Olatoke SA, et al. An Evaluation of Inflammatory and Nutritional Status of Breast Cancer Outpatients in a Tertiary Hospital in Nigeria. Nutr Cancer, 2022,74(1):90–99

    Article  CAS  PubMed  Google Scholar 

  24. McCall M, Leone A, Cusimano MD. Nutritional Status and Body Composition of Adult Patients with Brain Tumours Awaiting Surgical Resection. Can J Diet Pract Res, 2014,75(3):148–151

    Article  PubMed  Google Scholar 

  25. Onishi S, Tajika M, Tanaka T, et al. Prognostic Impact of Sarcopenic Obesity after Neoadjuvant Chemotherapy Followed by Surgery in Elderly Patients with Esophageal Squamous Cell Carcinoma. J Clin Med, 2020,9(9):2974

    Article  PubMed  PubMed Central  Google Scholar 

  26. Maia FCP, Silva TA, Generoso SV, et al. Malnutrition is associated with poor health-related quality of life in surgical patients with gastrointestinal cancer. Nutrition, 2020,75–76:110769

    Article  PubMed  Google Scholar 

  27. Ma L, Ye W, Li Q, et al. Subjective Global Assessment (SGA) Score Could Be a Predictive Factor for Radiation Pneumonitis in Lung Cancer Patients With Normal Pulmonary Function Treated by Intensity-Modulated Radiation Therapy and Concurrent Chemotherapy. Clin Lung Cancer, 2018,19(2):e211–e217

    Article  PubMed  Google Scholar 

  28. Vashi P, Popiel B, Lammersfeld C, et al. Outcomes of systematic nutritional assessment and medical nutrition therapy in pancreatic cancer. Pancreas, 2015,44(5):750–755

    Article  CAS  PubMed  Google Scholar 

  29. Gupta D, Lis CG, Vashi PG, et al. Impact of improved nutritional status on survival in ovarian cancer. Support Care Cancer, 2010,18(3):373–381

    Article  PubMed  Google Scholar 

  30. Heckler M, Klaiber U, Hüttner FJ, et al. Prospective trial to evaluate the prognostic value of different nutritional assessment scores for survival in pancreatic ductal adenocarcinoma (NURIMAS Pancreas SURVIVAL). J Cachexia Sarcopenia Muscle, 2021,12(6):1940–1947

    Article  PubMed  PubMed Central  Google Scholar 

  31. Contreras-Bolívar V, Sánchez-Torralvo FJ, Ruiz-Vico M, et al. GLIM Criteria Using Hand Grip Strength Adequately Predict Six-Month Mortality in Cancer Inpatients. Nutrients, 2019,11(9):2043

    Article  PubMed  PubMed Central  Google Scholar 

  32. Gupta D, Lammersfeld CA, Vashi PG, et al. Prognostic significance of Subjective Global Assessment (SGA) in advanced colorectal cancer. Eur J Clin Nutr, 2005,59(1):35–40

    Article  CAS  PubMed  Google Scholar 

  33. Lohsiriwat V. The influence of preoperative nutritional status on the outcomes of an enhanced recovery after surgery (ERAS) programme for colorectal cancer surgery. Tech Coloproctol, 2014,18(11):1075–1080

    Article  CAS  PubMed  Google Scholar 

  34. Wu BW, Yin T, Cao WX, et al. Clinical application of subjective global assessment in Chinese patients with gastrointestinal cancer. World J Gastroenterol, 2009,15(28):3542–3549

    Article  PubMed  PubMed Central  Google Scholar 

  35. Maurício SF, da Silva JB, Bering T, et al. Relationship between nutritional status and the Glasgow Prognostic Score in patients with colorectal cancer. Nutrition, 2013,29(4):625–629

    Article  PubMed  Google Scholar 

  36. Gharagozlian S, Mala T, Brekke HK, et al. Nutritional status, sarcopenia, gastrointestinal symptoms and quality of life after gastrectomy for cancer - A cross-sectional pilot study. Clin Nutr ESPEN, 2020,37:195–201

    Article  PubMed  Google Scholar 

  37. Enkobahry A, Sime T, Kene K, et al. Blood biomarkers as potential malnutrition screening alternatives among adult patients with cancer on treatment in oncology unit of jimma tertiary hospital: A cross-sectional analysis. BMC Nutr, 2023,9(1):38

    Article  PubMed  PubMed Central  Google Scholar 

  38. Chi J, Yin S, Zhu Y, et al. A Comparison of the Nutritional Risk Screening 2002 Tool With the Subjective Global Assessment Tool to Detect Nutritional Status in Chinese Patients Undergoing Surgery With Gastrointestinal Cancer. Gastroenterol Nurs, 2017,40(1):19–25

    Article  PubMed  Google Scholar 

  39. Barbosa-Silva MC, Barros AJ. Indications and limitations of the use of subjective global assessment in clinical practice: an update. Curr Opin Clin Nutr Metab Care, 2006,9(3):263–269

    Article  PubMed  Google Scholar 

  40. Gómez-Candela C, Luengo LM, Cos AI, et al. Subjective global assessment in neoplastic patients. Nutr Hosp, 2003,18(6):353–357

    PubMed  Google Scholar 

  41. Poziomyck AK, Cavazzola LT, Coelho LJ, et al. Nutritional assessment methods as predictors of postoperative mortality in gastric cancer patients submitted to gastrectomy. Rev Col Bras Cir, 2017,44(5):482–490

    Article  PubMed  Google Scholar 

  42. Grundmann O, Yoon SL, Williams JJ. The value of bioelectrical impedance analysis and phase angle in the evaluation of malnutrition and quality of life in cancer patients—a comprehensive review. Eur J Clin Nutr, 2015,69(12):1290–1297

    Article  CAS  PubMed  Google Scholar 

  43. Fu Z, Zhang R, Wang KH, et al. Development and validation of a Modified Patient-Generated Subjective Global Assessment as a nutritional assessment tool in cancer patients. J Cachexia Sarcopenia Muscle, 2022,13(1):343–354

    Article  MathSciNet  PubMed  Google Scholar 

  44. Zhou Z, Luo Y, Pang L, et al. Effect of the hospital-community-family (HCF) nutritional management on patients with esophageal and head and neck cancers undergoing radiotherapy: a randomized control trial. Transl Cancer Res, 2023,12(2):375–386

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Bai SX, Wang WL, Zhou HQ, et al. A clinical study on the nutritional status of patients with locally advanced rectal cancer during chemo-radiotherapy. Ann Ital Chir, 2023,94:73–81

    PubMed  Google Scholar 

  46. Chen L, Zhao M, Tan L, et al. Effects of Five-Step Nutritional Interventions Conducted by a Multidisciplinary Care Team on Gastroenteric Cancer Patients Undergoing Chemotherapy: A Randomized Clinical Trial. Nutr Cancer, 2023,75(1):197–206

    Article  CAS  PubMed  Google Scholar 

  47. Zhu X, Liu D, Zong M, et al. Effect of swallowing training combined with nutritional intervention on the nutritional status and quality of life of laryngeal cancer patients with dysphagia after operation and radiotherapy. J Oral Rehabil, 2022,49(7):729–733

    Article  PubMed  Google Scholar 

  48. Yan X, Zhang S, Jia J, et al. Total Parenteral Nutrition Treatment Improves the Nutrition Status of Gynecological Cancer Patients by Improving Serum Albumin Level. Front Med (Lausanne), 2021,8:759387

    Article  PubMed  Google Scholar 

  49. Movahed S, Varshoee Tabrizi F, Pahlavani N, et al. Comprehensive assessment of nutritional status and nutritional-related complications in newly diagnosed esophageal cancer patients: A cross-sectional study. Clin Nutr, 2021,40(6):4449–4455

    Article  CAS  PubMed  Google Scholar 

  50. Bibby N, Rajai A, O’Reilly DA. From prehab to rehab: Nutritional support for people undergoing pancreatic cancer surgery. J Hum Nutr Diet, 2023,36(2):493–503

    Article  PubMed  Google Scholar 

  51. Vázquez de la Torre MJ, Stein K, Vásquez Garibay EM, et al. Patient-Generated Subjective Global Assessment of nutritional status in pediatric patients with recent cancer diagnosis. Nutr Hosp, 2017,34(5):1050–1058

    PubMed  Google Scholar 

  52. da Silva SHK, de Oliveira LC, MSDM ESL, et al. The patient generated-subjective global assessment (PG-SGA) and ECOG performance status are associated with mortality in patients hospitalized with breast cancer. Clin Nutr ESPEN, 2023,53:87–92

    Article  PubMed  Google Scholar 

  53. Cho JW, Youn J, Kim EM, et al. Associations of patient-generated subjective global assessment (PG-SGA) and NUTRISCORE with survival in gastric cancer patients: timing matters, a retrospective cohort study. BMC Gastroenterol, 2022,22(1):468

    Article  PubMed  PubMed Central  Google Scholar 

  54. da Silva Couto A, Gonzalez MC, Martucci RB, et al. Predictive validity of GLIM malnutrition diagnosis in patients with colorectal cancer. JPEN J Parenter Enteral Nutr, 2023,47(3):420–428

    Article  PubMed  Google Scholar 

  55. Mota AP, Aredes MA, De Oliveira Miguel J, et al. Nutritional status assessed by Patient-Generated Subjective Global Assessment is associated with toxicity to chemoradiotherapy in women with cervical cancer: a prospective study. Eur J Clin Nutr, 2022,76(12):1740–1747

    Article  CAS  PubMed  Google Scholar 

  56. Zhang L, Wang S, Gao X, et al. Poor Pre-operative Nutritional Status Is a Risk Factor of Post-operative Infections in Patients With Gastrointestinal Cancer-A Multicenter Prospective Cohort Study. Front Nutr, 2022,9:850063

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  57. Naghashi S, Somi MH, Nikniaz Z. Pretreatment nutritional status is associated with quality of life in patients with gastric cancer: a cross-sectional study from Iran. Support Care Cancer, 2022,30(4):3313–3319

    Article  PubMed  Google Scholar 

  58. Rios TC, de Oliveira LPM, da Costa MLV, et al. A poorer nutritional status impacts quality of life in a sample population of elderly cancer patients. Health Qual Life Outcomes, 2021,19(1):90

    Article  PubMed  PubMed Central  Google Scholar 

  59. Dos Reis PF, de França PS, Dos Santos MP, et al. Influence of nutritional status and frailty phenotype on health-related quality of life of patients with bladder or kidney cancer. Support Care Cancer, 2021,29(9):5139–5150

    Article  PubMed  Google Scholar 

  60. Gao B, Chen W, Liu Y, et al. Associations between nutrition risk scores and sarcopenia in gastrointestinal cancer patients: a cross-sectional study. Support Care Cancer, 2022,30(4):3269–3277

    Article  PubMed  Google Scholar 

  61. Tsai YT, Lai CH, Huang TH, et al. Association of malnutrition with postoperative complication risk after curative surgery for oral cancer: Observational study. Medicine (Baltimore), 2020,99(52):e23860

    Article  CAS  PubMed  Google Scholar 

  62. Zhu C, Wang B, Gao Y, et al. Prevalence and relationship of malnutrition and distress in patients with Cancer using questionnaires. BMC Cancer, 2018,18(1):1272

    Article  PubMed  PubMed Central  Google Scholar 

  63. de Sousa IM, Silva FM, de Carvalho ALM, et al. Accuracy of isolated nutrition indicators in diagnosing malnutrition and their prognostic value to predict death in patients with gastric and colorectal cancer: A prospective study. JPEN J Parenter Enteral Nutr, 2022,46(3):508–516

    Article  PubMed  Google Scholar 

  64. Van BP, Thuy LN, Thanh HNT, et al. Comparison of Novel, Bach Mai Boston Tool (BBT) and the Patient-Generated Subjective Global Assessment (PG–SGA) for Oncology Inpatients. Cancer Control, 2019,26(1):1073274819863767

    Article  PubMed  PubMed Central  Google Scholar 

  65. Chen Y, Xiang Q, Li C, et al. Nutritional Risk and Assessment for Patients with Cancer Pain. Nutr Cancer, 2022,74(1):168–174

    Article  CAS  PubMed  Google Scholar 

  66. Balstad TR, Bye A, Jenssen CR, et al. Patient interpretation of the Patient-Generated Subjective Global Assessment (PG-SGA) Short Form. Patient Prefer Adherence, 2019,13:1391–1400

    Article  PubMed  PubMed Central  Google Scholar 

  67. Zhang Z, Wan Z, Zhu Y, et al. Prevalence of malnutrition comparing NRS2002, MUST, and PG-SGA with the GLIM criteria in adults with cancer: A multi-center study. Nutrition, 2021,83:111072

    Article  PubMed  Google Scholar 

  68. Guigoz Y, Vellas B, Garry PJ. Assessing the nutritional status of the elderly: The Mini Nutritional Assessment as part of the geriatric evaluation. Nutr Rev, 1996,54(1 Pt 2):S59–S65

    CAS  PubMed  Google Scholar 

  69. Polański J, Dudek K, Mazur G, et al. Effect of nutritional status on psychological functioning and coping in patients with lung cancer. Nutrition, 2023,109:111970

    Article  PubMed  Google Scholar 

  70. Ścisło L, Bodys-Cupak I, Walewska E, et al. Nutritional Status Indicators as Predictors of Postoperative Complications in the Elderly with Gastrointestinal Cancer. Int J Environ Res Public Health, 2022,19(20):13453

    Article  PubMed  PubMed Central  Google Scholar 

  71. Mantero F. Nursing management and prevention of malnutrition in the patient with head-neck cancer. Prof Inferm, 2021,74(4):269

    PubMed  Google Scholar 

  72. Vasilopoulos G, Makrigianni P, Polikandrioti M, et al. Pre- and Post-Operative Nutrition Assessment in Patients with Colon Cancer Undergoing Ileostomy. Int J Environ Res Public Health, 2020,17(17):6124

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Domínguez-Alonso JA, Conde-Estévez D, Bosch D, et al. Breast cancer, placing drug interactions in the spotlight: is polypharmacy the cause of everything?. Clin Transl Oncol 2021,23(1):65–73

    Article  PubMed  Google Scholar 

  74. Stauder R, Augschoell J, Hamaker ME, et al. Malnutrition in Older Patients With Hematological Malignancies at Initial Diagnosis–Association With Impairments in Health Status, Systemic Inflammation and Adverse Outcome. Hemasphere, 2020,4(1):e332

    Article  PubMed  PubMed Central  Google Scholar 

  75. Schütte K, Tippelt B, Schulz C, et al. Malnutrition is a prognostic factor in patients with hepatocellular carcinoma (HCC). Clin Nutr, 2015,34(6):1122–1127

    Article  PubMed  Google Scholar 

  76. Barrios R, Tsakos G, García-Medina B, et al. Oral health-related quality of life and malnutrition in patients treated for oral cancer. Support Care Cancer, 2014,22(11):2927–2933

    Article  PubMed  PubMed Central  Google Scholar 

  77. Toliusiene J, Lesauskaite V. The nutritional status of older men with advanced prostate cancer and factors affecting it. Support Care Cancer, 2004,12(10):716–719

    Article  PubMed  Google Scholar 

  78. Polański J, Jankowska-Polańska B, Mazur G. Relationship Between Nutritional Status and Quality of Life in Patients with Lung Cancer. Cancer Manag Res, 2021,13:1407–1416

    Article  PubMed  PubMed Central  Google Scholar 

  79. Polański J, Jankowska-Polańska B, Uchmanowicz I, et al. Malnutrition and Quality of Life in Patients with Non-Small-Cell Lung Cancer. Adv Exp Med Biol, 2017,1021:15–26

    Article  PubMed  Google Scholar 

  80. Zhang X, Tang T, Pang L, et al. Malnutrition and overall survival in older adults with cancer: A systematic review and meta-analysis. J Geriatr Oncol, 2019,10(6):874–883

    Article  PubMed  Google Scholar 

  81. Aaldriks AA, van der Geest LG, Giltay EJ, et al. Frailty and malnutrition predictive of mortality risk in older patients with advanced colorectal cancer receiving chemotherapy. J Geriatr Oncol, 2013,4(3):218–226

    Article  PubMed  Google Scholar 

  82. Chabowski M, Polański J, Jankowska-Polańska B, et al. Is nutritional status associated with the level of anxiety, depression and pain in patients with lung cancer?. J Thorac Dis, 2018,10(4):2303–2310

    Article  PubMed  PubMed Central  Google Scholar 

  83. Giannousi Z, Gioulbasanis I, Pallis AG, et al. Nutritional status, acute phase response and depression in metastatic lung cancer patients: correlations and association prognosis. Support Care Cancer, 2012,20(8):1823–1829

    Article  PubMed  Google Scholar 

  84. Zabłocka-Słowińska KA, Kosacka M, Porębska I, et al. The usefulness of routinely used malnutrition screening tools in predicting anemia in lung cancer patients. Adv Clin Exp Med, 2017,26(9):1383–1389

    Article  PubMed  Google Scholar 

  85. Gioulbasanis I, Georgoulias P, Vlachostergios PJ, et al. Mini Nutritional Assessment (MNA) and biochemical markers of cachexia in metastatic lung cancer patients: interrelations and associations with prognosis. Lung Cancer, 2011,74(3):516–520

    Article  PubMed  Google Scholar 

  86. Dubhashi SP, Kayal A. Preoperative Nutritional Assessment in Elderly Cancer Patients Undergoing Elective Surgery: MNA or PG-SGA? Indian J Surg, 2015,77(Suppl 2):232–235

    Article  CAS  PubMed  Google Scholar 

  87. Ruan X, Nakyeyune R, Shao Y, et al. Nutritional screening tools for adult cancer patients: A hierarchical Bayesian latent-class meta-analysis. Clin Nutr 2021,40(4):1733–1743

    Article  CAS  PubMed  Google Scholar 

  88. Cederholm T, Jensen G, Correia M, et al. GLIM criteria for the diagnosis of malnutrition–a consensus report from the global clinical nutrition community. J Cachexia Sarcopenia Muscle, 2019,10(1):207–217

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Wang F, Zhen HN, Wang HP, et al. Measurement of sarcopenia in lung cancer inpatients and its association with frailty, nutritional risk, and malnutrition. Front Nutr, 2023,10:1143213

    Article  PubMed  PubMed Central  Google Scholar 

  90. Huang Y, Chen Y, Wei L, et al. Comparison of three malnutrition risk screening tools in identifying malnutrition according to Global Leadership Initiative on Malnutrition criteria in gastrointestinal cancer. Front Nutr, 2022,9:959038

    Article  PubMed  PubMed Central  Google Scholar 

  91. Steer B, Loeliger J, Edbrooke L, et al. Malnutrition Prevalence according to the GLIM Criteria in Head and Neck Cancer Patients Undergoing Cancer Treatment. Nutrients, 2020,12(11):3493

    Article  PubMed  PubMed Central  Google Scholar 

  92. Wang P, Chen X, Liu Q, et al. Good performance of the Global Leadership Initiative on Malnutrition criteria for diagnosing and classifying malnutrition in people with esophageal cancer undergoing esophagectomy. Nutrition, 2021,91–92:111420

    Article  PubMed  Google Scholar 

  93. Wu H, Li S, Lin Y, et al. Association between malnutrition and leucopenia in patients with osteosarcoma. Front Nutr, 2022,9:899501

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  94. Brown D, Loeliger J, Stewart J, et al. Relationship between global leadership initiative on malnutrition (GLIM) defined malnutrition and survival, length of stay and post-operative complications in people with cancer: A systematic review. Clin Nutr, 2023,42(3):255–268

    Article  PubMed  Google Scholar 

  95. Peng D, Zong K, Yang H, et al. Malnutrition diagnosed by the Global Leadership Initiative on Malnutrition criteria predicting survival and clinical outcomes of patients with cancer: A systematic review and meta-analysis. Front Nutr, 2022,9:1053165

    Article  PubMed  PubMed Central  Google Scholar 

  96. Xu J, Jie Y, Sun Y, et al. Association of Global Leadership Initiative on Malnutrition with survival outcomes in patients with cancer: A systematic review and meta-analysis. Clin Nutr, 2022,41(9):1874–1880

    Article  PubMed  Google Scholar 

  97. Kakavas S, Karayiannis D, Bouloubasi Z, et al. Global Leadership Initiative on Malnutrition Criteria Predict Pulmonary Complications and 90–Day Mortality after Major Abdominal Surgery in Cancer Patients. Nutrients, 2020,12(12):3726

    Article  PubMed  PubMed Central  Google Scholar 

  98. Yin L, Cheng N, Chen P, et al. Association of Malnutrition, as Defined by the PG-SGA, ESPEN 2015, and GLIM Criteria, With Complications in Esophageal Cancer Patients After Esophagectomy. Front Nutr, 2021,8:632546

    Article  PubMed  PubMed Central  Google Scholar 

  99. Crestani MS, Stefani GP, Scott LM, et al. Accuracy of the GLIM Criteria and SGA Compared to PG-SGA for the Diagnosis of Malnutrition and Its Impact on Prolonged Hospitalization: A Prospective Study in Patients with Cancer. Nutr Cancer, 2023,75(4):1177–1188

    Article  CAS  PubMed  Google Scholar 

  100. Landgrebe M, Tobberup R, Carus A, et al. GLIM diagnosed malnutrition predicts clinical outcomes and quality of life in patients with non-small cell lung cancer. Clin Nutr, 2023,42(2):190–198

    Article  PubMed  Google Scholar 

  101. Ehrsson YT, Fransson P, Einarsson S. Mapping Health-Related Quality of Life, Anxiety, and Depression in Patients with Head and Neck Cancer Diagnosed with Malnutrition Defined by GLIM. Nutrients, 2021,13(4):1167

    Article  PubMed  PubMed Central  Google Scholar 

  102. Kaźmierczak-Siedlecka K, Skonieczna-Żydecka K, Folwarski M, et al. Influence of malnutrition stage according to GLIM 2019 criteria and SGA on the quality of life of patients with advanced cancer. Nutr Hosp, 2020,37(6):1179–1185

    PubMed  Google Scholar 

  103. Sánchez-Torralvo FJ, Contreras-Bolívar V, Ruiz-Vico M, et al. Relationship between malnutrition and the presence of symptoms of anxiety and depression in hospitalized cancer patients. Support Care Cancer, 2022,30(2):1607–1613

    Article  PubMed  Google Scholar 

  104. Nakyeyune R, Ruan X, Wang X, et al. Comparative analysis of malnutrition diagnosis methods in lung cancer patients using a Bayesian latent class model. Asia Pac J Clin Nutr, 2022,31(2):181–190

    PubMed  Google Scholar 

  105. Ruan X, Wang X, Zhang Q, et al. The performance of three nutritional tools varied in colorectal cancer patients: a retrospective analysis. J Clin Epidemiol, 2022,149:12–22

    Article  PubMed  Google Scholar 

  106. Takimoto M, Yasui-Yamada S, Nasu N, et al. Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary-Pancreatic Cancers. Nutrients, 2022,14(5):943

    Article  PubMed  PubMed Central  Google Scholar 

  107. Matsui R, Rifu K, Watanabe J, et al. Current status of the association between malnutrition defined by the GLIM criteria and postoperative outcomes in gastrointestinal surgery for cancer: a narrative review. J Cancer Res Clin Oncol, 2023,149(4):1635–1643

    Article  PubMed  Google Scholar 

  108. Yin L, Song C, Cui J, et al. Low fat mass index outperforms handgrip weakness and GLIM-defined malnutrition in predicting cancer survival: Derivation of cutoff values and joint analysis in an observational cohort. Clin Nutr, 2022,41(1):153–164

    Article  PubMed  Google Scholar 

  109. Henriksen C, Paur I, Pedersen A, et al. Agreement between GLIM and PG-SGA for diagnosis of malnutrition depends on the screening tool used in GLIM. Clin Nutr, 2022,41(2):329–336

    Article  CAS  PubMed  Google Scholar 

  110. Ryan AM, Power DG, Daly L, et al. Cancer-associated malnutrition, cachexia and sarcopenia: the skeleton in the hospital closet 40 years later. Proc Nutr Soc, 2016,75(2):199–211

    Article  PubMed  Google Scholar 

  111. Attar A, Malka D, Sabaté JM, et al. Malnutrition is high and underestimated during chemotherapy in gastrointestinal cancer: an AGEO prospective cross-sectional multicenter study. Nutr Cancer, 2012,64(4):535–542

    Article  CAS  PubMed  Google Scholar 

  112. Gyan E, Raynard B, Durand JP, et al. Malnutrition in Patients With Cancer: Comparison of Perceptions by Patients, Relatives, and Physicians-Results of the NutriCancer2012 Study. JPEN J Parenter Enteral Nutr, 2018,42(1):255–260

    Article  PubMed  Google Scholar 

  113. Hébuterne X, Lemarié E, Michallet M, et al. Prevalence of malnutrition and current use of nutrition support in patients with cancer. JPEN J Parenter Enteral Nutr, 2014,38(2):196–204

    Article  PubMed  Google Scholar 

  114. Prado CM, Cushen SJ, Orsso CE, et al. Sarcopenia and cachexia in the era of obesity: clinical and nutritional impact. Proc Nutr Soc, 2016,75(2):188–198

    Article  CAS  PubMed  Google Scholar 

  115. Gellrich NC, Handschel J, Holtmann H, et al. Oral cancer malnutrition impacts weight and quality of life. Nutrients, 2015,7(4):2145–2160

    Article  PubMed  PubMed Central  Google Scholar 

  116. Pressoir M, Desné S, Berchery D, et al. Prevalence, risk factors and clinical implications of malnutrition in French Comprehensive Cancer Centres. Br J Cancer, 2010,102(6):966–971

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  117. Melchior JC, Préaud E, Carles J, et al. Clinical and economic impact of malnutrition per se on the postoperative course of colorectal cancer patients. Clin Nutr, 2012,31(6):896–902

    Article  PubMed  Google Scholar 

  118. Maasberg S, Knappe-Drzikova B, Vonderbeck D, et al. Malnutrition Predicts Clinical Outcome in Patients with Neuroendocrine Neoplasia. Neuroendocrinology, 2017,104(1):11–25

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Peng-peng Wang or Kim Lam Soh.

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The authors declare that there is no conflict of interest with any financial organization or corporation or individual that can inappropriately influence this work.

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The study is financially supported by the Guangxi Medical University 2023 Innovation and Entrepreneurship Training Program Project (No. 202310598015).

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Wang, Pp., Soh, K.L., binti Khazaai, H. et al. Nutritional Assessment Tools for Patients with Cancer: A Narrative Review. CURR MED SCI 44, 71–80 (2024). https://doi.org/10.1007/s11596-023-2808-4

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  • DOI: https://doi.org/10.1007/s11596-023-2808-4

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