|
1
|
Cruz-Jentoft AJ and Sayer AA: Sarcopenia.
Lancet. 393:2636–2646. 2019. View Article : Google Scholar
|
|
2
|
Damluji AA, Alfaraidhy M, AlHajri N,
Rohant NN, Kumar M, Al Malouf C, Bahrainy S, Ji Kwak M, Batchelor
WB, Forman DE, et al: Sarcopenia and cardiovascular diseases.
Circulation. 147:1534–1553. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Sayer AA and Cruz-Jentoft A: Sarcopenia
definition, diagnosis and treatment: Consensus is growing. Age and
ageing. 51:afac2202022. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Zhang FM, Wu HF, Shi HP, Yu Z and Zhuang
CL: Sarcopenia and malignancies: Epidemiology, clinical
classification and implications. Ageing Res Rev. 91:1020572023.
View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Fang P, Zhou J, Xiao X, Yang Y, Luan S,
Liang Z, Li X, Zhang H, Shang Q, Zeng X and Yuan Y: The prognostic
value of sarcopenia in oesophageal cancer: A systematic review and
meta-analysis. J Cachexia Sarcopenia Muscle. 14:3–16. 2023.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Chang KV, Chen JD, Wu WT, Huang KC, Hsu CT
and Han DS: Association between loss of skeletal muscle mass and
mortality and tumor recurrence in hepatocellular carcinoma: A
systematic review and Meta-analysis. Liver Cancer. 7:90–103. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Nipp RD, Fuchs G, El-Jawahri A, Mario J,
Troschel FM, Greer JA, Gallagher ER, Jackson VA, Kambadakone A,
Hong TS, et al: Sarcopenia is associated with quality of life and
depression in patients with advanced cancer. Oncologist. 23:97–104.
2018. View Article : Google Scholar
|
|
8
|
Zhang Y, Zhang J, Zhan Y, Pan Z, Liu Q and
Yuan W: Sarcopenia is a prognostic factor of adverse effects and
mortality in patients with tumour: A systematic review and
Meta-analysis. J Cachexia Sarcopenia Muscle. 15:2295–2310. 2024.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Yuan S and Larsson SC: Epidemiology of
sarcopenia: Prevalence, risk factors, and consequences. Metabolism.
144:1555332023. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie
Y, Bruyere O, Cederholm T, Cooper C, Landi F, Rolland Y, Sayer AA,
et al: Sarcopenia: Revised European consensus on definition and
diagnosis. Age Ageing. 48:6012019. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Dent E, Woo J, Scott D and Hoogendijk EO:
Sarcopenia measurement in research and clinical practice. Eur J
Intern Med. 90:1–9. 2021. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Gonzalez MC, Mehrnezhad A, Razaviarab N,
Barbosa-Silva TG and Heymsfield SB: Calf circumference: Cutoff
values from the NHANES 1999–2006. Am J Clin Nutr. 113:1679–1687.
2021. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Champaiboon J, Petchlorlian A, Manasvanich
BA, Ubonsutvanich N, Jitpugdee W, Kittiskulnam P, Wongwatthananart
S, Menorngwa Y, Pornsalnuwat S and Praditpornsilpa K: Calf
circumference as a screening tool for low skeletal muscle mass:
Cut-off values in independent Thai older adults. BMC Geriatr.
23:8262023. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Kiss CM, Bertschi D, Beerli N, Berres M,
Kressig RW and Fischer AM: Calf circumference as a surrogate
indicator for detecting low muscle mass in hospitalized geriatric
patients. Aging Clin Exp Res. 36:252024. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Chen LK, Woo J, Assantachai P, Auyeung TW,
Chou MY, Iijima K, Jang HC, Kang L, Kim M, Kim S, et al: Asian
working group for sarcopenia: 2019 consensus update on sarcopenia
diagnosis and treatment. J Am Med Dir Assoc. 21:300–307.e2. 2020.
View Article : Google Scholar
|
|
16
|
Oh MH, Shin HE, Kim KS, Won CW and Kim M:
Combinations of sarcopenia diagnostic criteria by asian working
group of sarcopenia (AWGS) 2019 guideline and incident adverse
health outcomes in community-dwelling older adults. J Am Med Dir
Assoc. 24:1185–1192. 2023. View Article : Google Scholar
|
|
17
|
Sri-On J, Fusakul Y, Kredarunsooksree T,
Paksopis T and Ruangsiri R: The prevalence and risk factors of
sarcopenia among Thai community-dwelling older adults as defined by
the Asian Working Group for Sarcopenia (AWGS-2019) criteria: A
cross-sectional study. BMC Geriatr. 22:7862022. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Kawakami R, Miyachi M, Sawada SS, Torii S,
Midorikawa T, Tanisawa K, Ito T, Usui C, Ishii K, Suzuki K, et al:
Cut-offs for calf circumference as a screening tool for low muscle
mass: WASEDA's Health study. Geriatr Gerontol Int. 20:943–950.
2020. View Article : Google Scholar
|
|
19
|
Özcan B, Güner M, Ceylan S, Öztürk Y,
Girgin S, Okyar Baş A, Koca M, Balcı C, Doğu BB, Cankurtaran M, et
al: Calf circumference predicts sarcopenia in maintenance
hemodialysis. Nutr Clin Pract. 39:193–201. 2024.
|
|
20
|
Xu JY, Zhu MW, Zhang H, Li L, Tang PX,
Chen W and Wei JM: A Cross-Sectional study of GLIM-defined
malnutrition based on new validated calf circumference Cut-off
values and different screening tools in hospitalised patients over
70 years old. J Nutr Health Aging. 24:832–838. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Rigby L, Frey M, Alexander KL and De
Carvalho D: Monitoring calf circumference: Changes during prolonged
constrained sitting. Ergonomics. 65:631–641. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Landi F, Russo A, Liperoti R, Pahor M,
Tosato M, Capoluongo E, Bernabei R and Onder G: Midarm muscle
circumference, physical performance and mortality: Results from the
aging and longevity study in the Sirente geographic area (ilSIRENTE
study). Clin Nutr. 29:441–447. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Carnevale V, Castriotta V, Piscitelli PA,
Nieddu L, Mattera M, Guglielmi G and Scillitani A: Assessment of
skeletal muscle mass in older people: Comparison between 2
Anthropometry-based methods and Dual-energy X-ray absorptiometry. J
Am Med Dir Assoc. 19:793–796. 2018. View Article : Google Scholar
|
|
24
|
Gort-van Dijk D, Weerink LBM, Milovanovic
M, Haveman JW, Hemmer PHJ, Dijkstra G, Lindeboom R and
Campmans-Kuijpers MJE: Bioelectrical impedance analysis and
Mid-upper arm muscle circumference can be used to detect low muscle
mass in clinical practice. Nutrients. 13:23502021. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Tanaka T, Takahashi K, Akishita M, Tsuji T
and Iijima K: ‘Yubi-wakka’ (finger-ring) test: A practical
self-screening method for sarcopenia, and a predictor of disability
and mortality among Japanese community-dwelling older adults.
Geriatr Gerontol Int. 18:224–232. 2018. View Article : Google Scholar
|
|
26
|
Lawongsa K, Srisuwan P, Tejavanija S and
Gesakomol K: Sensitivity and specificity of Yubi-wakka
(finger-ring) screening method for sarcopenia among older Thai
adults. Geriatr Gerontol Int. 24:263–268. 2024. View Article : Google Scholar
|
|
27
|
Hiraoka A, Izumoto H, Ueki H, Yoshino T,
Aibiki T, Okudaira T, Yamago H, Suga Y, Iwasaki R, Tomida H, et al:
Easy surveillance of muscle volume decline in chronic liver disease
patients using finger-circle (yubi-wakka) test. J Cachexia
Sarcopenia Muscle. 10:347–354. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Hiraoka A, Nagamatsu K, Izumoto H, Yoshino
T, Adachi T, Tsuruta M, Aibiki T, Okudaira T, Yamago H, Suga Y, et
al: SARC-F combined with a simple tool for assessment of muscle
abnormalities in outpatients with chronic liver disease. Hepatol
Res. 50:502–511. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Nishikawa H, Yoh K, Enomoto H, Nishimura
T, Nishiguchi S and Iijima H: Clinical impact of the finger-circle
test in patients with liver diseases. Hepatol Res. 51:603–613.
2021. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Meerkerk CDA, Chargi N, de Jong PA, van
den Bos F and de Bree R: Low skeletal muscle mass predicts frailty
in elderly head and neck cancer patients. Eur Arch
Otorhinolaryngol. 279:967–977. 2022. View Article : Google Scholar
|
|
31
|
Albano D, Messina C, Vitale J and
Sconfienza LM: Imaging of sarcopenia: Old evidence and new
insights. Eur Radiol. 30:2199–2208. 2020. View Article : Google Scholar
|
|
32
|
O'Brien ME, Zou RH, Hyre N, Leader JK,
Fuhrman CR, Sciurba FC, Nouraie M and Bon J: CT pectoralis muscle
area is associated with DXA lean mass and correlates with emphysema
progression in a Tobacco-exposed cohort. Thorax. 78:394–401. 2023.
View Article : Google Scholar
|
|
33
|
Huang W, Tan P, Zhang H, Li Z, Lin H, Wu
Y, Du Q, Wu Q, Cheng J, Liang Y and Pan Y: Skeletal muscle mass
measurement using Cone-beam computed tomography in patients with
head and neck cancer. Front Oncol. 12:9029662022. View Article : Google Scholar
|
|
34
|
Yoon JK, Jang JY, An YS and Lee SJ:
Skeletal muscle mass at C3 may not be a strong predictor for
skeletal muscle mass at L3 in sarcopenic patients with head and
neck cancer. PLoS One. 16:e02548442021. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Xiao Y, Xiao-Yue Z, Yue W, Ruo-Tao L,
Xiang-Jie L, Xing-Yuan W, Qian W, Xiao-Hua Q and Zhen-Yi J: Use of
computed tomography for the diagnosis of surgical sarcopenia:
Review of recent research advances. Nutr Clin Pract. 37:583–593.
2022. View Article : Google Scholar
|
|
36
|
Codari M, Zanardo M, di Sabato ME,
Nocerino E, Messina C, Sconfienza LM and Sardanelli F: MRI-derived
biomarkers related to sarcopenia: A systematic review. J Magn Reson
Imaging. 51:1117–1127. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Pishgar F, Shabani M, Quinaglia ACST,
Bluemke DA, Budoff M, Barr RG, Allison MA, Post WS, Lima JAC and
Demehri S: Quantitative analysis of adipose depots by using chest
CT and associations with All-cause mortality in chronic obstructive
pulmonary disease: Longitudinal analysis from MESArthritis
ancillary study. Radiology. 299:703–711. 2021. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Mourtzakis M, Prado CM, Lieffers JR,
Reiman T, McCargar LJ and Baracos VE: A practical and precise
approach to quantification of body composition in cancer patients
using computed tomography images acquired during routine care. Appl
Physiol Nutr Metab. 33:997–1006. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Tagliafico AS, Bignotti B, Torri L and
Rossi F: Sarcopenia: How to measure, when and why. Radiol Med.
127:228–237. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Prado CM, Lieffers JR, McCargar LJ, Reiman
T, Sawyer MB, Martin L and Baracos VE: Prevalence and clinical
implications of sarcopenic obesity in patients with solid tumours
of the respiratory and gastrointestinal tracts: A population-based
study. Lancet Oncol. 9:629–635. 2008. View Article : Google Scholar
|
|
41
|
Martin L, Birdsell L, Macdonald N, Reiman
T, Clandinin MT, McCargar LJ, Murphy R, Ghosh S, Sawyer MB and
Baracos VE: Cancer cachexia in the age of obesity: Skeletal muscle
depletion is a powerful prognostic factor, independent of body mass
index. J Clin Oncol. 31:1539–1547. 2013. View Article : Google Scholar
|
|
42
|
Jin Y, Ma X, Yang Z and Zhang N: Low L3
skeletal muscle index associated with the clinicopathological
characteristics and prognosis of ovarian cancer: A meta-analysis. J
Cachexia Sarcopenia Muscle. 14:697–705. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Ufuk F, Herek D and Yuksel D: Diagnosis of
sarcopenia in head and neck computed tomography: Cervical muscle
mass as a strong indicator of sarcopenia. Clin Exp
Otorhinolaryngol. 12:317–324. 2019. View Article : Google Scholar
|
|
44
|
Swartz JE, Pothen AJ, Wegner I, Smid EJ,
Swart KM, de Bree R, Leenen LP and Grolman W: Feasibility of using
head and neck CT imaging to assess skeletal muscle mass in head and
neck cancer patients. Oral Oncol. 62:28–33. 2016. View Article : Google Scholar
|
|
45
|
Jung AR, Roh JL, Kim JS, Choi SH, Nam SY
and Kim SY: Efficacy of head and neck computed tomography for
skeletal muscle mass estimation in patients with head and neck
cancer. Oral Oncol. 95:95–99. 2019. View Article : Google Scholar
|
|
46
|
Lin SC, Lin YS, Kang BH, Yin CH, Chang KP,
Chi CC, Lin MY, Su HH, Chang TS, She YY, et al: Sarcopenia results
in poor survival rates in oral cavity cancer patients. Clin
Otolaryngol. 45:327–333. 2020. View Article : Google Scholar
|
|
47
|
Gronberg BH, Sjoblom B, Wentzel-Larsen T,
Baracos VE, Hjermstad MJ, Aass N, Bremnes RM, Fløtten Ø, Bye A and
Jordhøy M: A comparison of CT based measures of skeletal muscle
mass and density from the Th4 and L3 levels in patients with
advanced non-small-cell lung cancer. Eur J Clin Nutr. 73:1069–1076.
2019. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Neefjes ECW, van den Hurk RM,
Blauwhoff-Buskermolen S, van der Vorst M, Becker-Commissaris A, de
van der Schueren MAE, Buffart LM and Verheul HMW: Muscle mass as a
target to reduce fatigue in patients with advanced cancer. J
Cachexia Sarcopenia Muscle. 8:623–629. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Matsuyama R, Maeda K, Yamanaka Y, Ishida
Y, Kato R, Nonogaki T, Shimizu A, Ueshima J, Kazaoka Y, Hayashi T,
et al: Assessing skeletal muscle mass based on the cross-sectional
area of muscles at the 12th thoracic vertebra level on computed
tomography in patients with oral squamous cell carcinoma. Oral
Oncol. 113:1051262021. View Article : Google Scholar
|
|
50
|
Gaszynska E, Godala M, Szatko F and
Gaszynski T: Masseter muscle tension, chewing ability, and selected
parameters of physical fitness in elderly care home residents in
Lodz, Poland. Clin Interv Aging. 9:1197–1203. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Yamaguchi K, Tohara H, Hara K, Nakane A,
Yoshimi K, Nakagawa K and Minakuchi S: Factors associated with
masseter muscle quality assessed from ultrasonography in
community-dwelling elderly individuals: A cross-sectional study.
Arch Gerontol Geriatr. 82:128–1232. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Hwang Y, Lee YH, Cho DH, Kim M, Lee DS and
Cho HJ: Applicability of the masseter muscle as a nutritional
biomarker. Medicine. 99:e190692020. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Chang SW, Tsai YH, Hsu CM, Huang EI, Chang
GH, Tsai MS and Tsai YT: Masticatory muscle index for indicating
skeletal muscle mass in patients with head and neck cancer. PLoS
One. 16:e02514552021. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Tsai PS, Lin DC, Jan YT, Liu YP, Wu TH and
Huang SC: Lower-extremity muscle wasting in patients with
peripheral arterial disease: Quantitative measurement and
evaluation with CT. Eur Radiol. 33:4063–4072. 2023. View Article : Google Scholar
|
|
55
|
Perkisas S, Bastijns S, Baudry S, Bauer J,
Beaudart C, Beckwee D, Cruz-Jentoft A, Gasowski J, Hobbelen H and
Jager-Wittenaar H: Application of ultrasound for muscle assessment
in sarcopenia: 2020 SARCUS update. Eur Geriatr Med. 12:45–59. 2021.
View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Perkisas S, Baudry S, Bauer J, Beckwee D,
De Cock AM, Hobbelen H, Jager-Wittenaar H, Kasiukiewicz A, Landi F,
Marco E, et al: Application of ultrasound for muscle assessment in
sarcopenia: Towards standardized measurements. Eur Geriatr Med.
9:739–757. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Cheng KY, Chow SK, Hung VW, Wong CH, Wong
RM, Tsang CS, Kwok T and Cheung WH: Diagnosis of sarcopenia by
evaluating skeletal muscle mass by adjusted bioimpedance analysis
validated with dual-energy X-ray absorptiometry. J Cachexia
Sarcopenia Muscle. 12:2163–2173. 2021. View Article : Google Scholar : PubMed/NCBI
|
|
58
|
Walowski CO, Braun W, Maisch MJ, Jensen B,
Peine S, Norman K, Müller MJ and Bosy-Westphal A: Reference values
for skeletal muscle mass-current concepts and methodological
considerations. Nutrients. 12:7552020. View Article : Google Scholar : PubMed/NCBI
|
|
59
|
Marini ACB, Perez DRS, Fleuri JA and
Pimentel GD: SARC-F is better correlated with muscle function
indicators than muscle mass in older hemodialysis patients. J Nutr
Health Aging. 24:999–1002. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
60
|
Lee YA, Kim HN and Song SW: Associations
between hair mineral concentrations and skeletal muscle mass in
korean adults. J Nutr Health Aging. 26:515–520. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
61
|
Kim M and Won CW: Sarcopenia in Korean
Community-dwelling adults aged 70 years and older: Application of
screening and diagnostic tools from the asian working group for
sarcopenia 2019 update. J Am Med Dir Assoc. 21:752–758. 2020.
View Article : Google Scholar
|
|
62
|
Janssen I, Baumgartner RN, Ross R,
Rosenberg IH and Roubenoff R: Skeletal muscle cutpoints associated
with elevated physical disability risk in older men and women. Am J
Epidemiol. 159:413–421. 2004. View Article : Google Scholar
|
|
63
|
Fielding RA, Vellas B, Evans WJ, Bhasin S,
Morley JE, Newman AB, Abellan van Kan G, Andrieu S, Bauer J,
Breuille D, et al: Sarcopenia: An undiagnosed condition in older
adults. Current consensus definition: Prevalence, etiology, and
consequences. International working group on sarcopenia. J Am Med
Dir Assoc. 12:249–256. 2011. View Article : Google Scholar
|
|
64
|
Kim S, Kim M, Lee Y, Kim B, Yoon TY and
Won CW: Calf circumference as a simple screening marker for
diagnosing sarcopenia in older korean adults: The Korean frailty
and aging cohort study (KFACS). J Korean Med Sci. 33:e1512018.
View Article : Google Scholar
|
|
65
|
Sergi G, De Rui M, Veronese N, Bolzetta F,
Berton L, Carraro S, Bano G, Coin A, Manzato E and Perissinotto E:
Assessing appendicular skeletal muscle mass with bioelectrical
impedance analysis in free-living Caucasian older adults. Clin
Nutr. 34:667–673. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
66
|
Lee MM, Jebb SA, Oke J and Piernas C:
Reference values for skeletal muscle mass and fat mass measured by
bioelectrical impedance in 390 565 UK adults. J Cachexia Sarcopenia
Muscle. 11:487–496. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
67
|
Harvey NC, Kanis JA, Liu E, Johansson H,
Lorentzon M and McCloskey E: Appendicular lean mass and fracture
risk assessment: Implications for FRAX® and sarcopenia.
Osteoporos Int. 30:537–539. 2019. View Article : Google Scholar
|
|
68
|
Yamada Y, Yamada M, Yoshida T, Miyachi M
and Arai H: Validating muscle mass cutoffs of four international
sarcopenia-working groups in Japanese people using DXA and BIA. J
Cachexia Sarcopenia Muscle. 12:1000–1010. 2021. View Article : Google Scholar : PubMed/NCBI
|
|
69
|
Barbosa-Silva TG, Bielemann RM, Gonzalez
MC and Menezes AM: Prevalence of sarcopenia among
community-dwelling elderly of a medium-sized South American city:
Results of the COMO VAI? study. J Cachexia Sarcopenia Muscle.
7:136–143. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
70
|
Wang L, Zhu B, Xue C, Lin H, Zhou F and
Luo Q: A prospective cohort study evaluating impact of sarcopenia
on hospitalization in patients on continuous ambulatory peritoneal
dialysis. Sci Rep. 14:169262024. View Article : Google Scholar : PubMed/NCBI
|
|
71
|
Benz E, Pinel A, Guillet C, Capel F,
Pereira B, De Antonio M, Pouget M, Cruz-Jentoft AJ, Eglseer D,
Topinkova E, et al: Sarcopenia and sarcopenic obesity and mortality
among older people. JAMA Netw Open. 7:e2436042024. View Article : Google Scholar : PubMed/NCBI
|
|
72
|
Kirk B, Cawthon PM, Arai H, Avila-Funes
JA, Barazzoni R, Bhasin S, Binder EF, Bruyere O, Cederholm T, Chen
LK, et al: The conceptual definition of sarcopenia: Delphi
consensus from the global leadership initiative in sarcopenia
(GLIS). Age Ageing. 53:afae0522024. View Article : Google Scholar : PubMed/NCBI
|
|
73
|
Morley JE, Abbatecola AM, Argiles JM,
Baracos V, Bauer J, Bhasin S, Cederholm T, Coats AJ, Cummings SR,
Evans WJ, et al: Sarcopenia with limited mobility: An international
consensus. J Am Med Dir Assoc. 12:403–449. 2011. View Article : Google Scholar
|
|
74
|
Mizuno T, Matsui Y, Tomida M, Suzuki Y,
Ishizuka S, Watanabe T, Takemura M, Nishita Y, Tange C, Shimokata
H, et al: Relationship between quadriceps muscle computed
tomography measurement and motor function, muscle mass, and
sarcopenia diagnosis. Front Endocrinol (Lausanne). 14:12593502023.
View Article : Google Scholar : PubMed/NCBI
|
|
75
|
Cruz-Jentoft AJ, Landi F, Schneider SM,
Zuniga C, Arai H, Boirie Y, Chen LK, Fielding RA, Martin FC, Michel
JP, et al: Prevalence of and interventions for sarcopenia in ageing
adults: A systematic review. Report of the International Sarcopenia
Initiative (EWGSOP and IWGS). Age Ageing. 43:748–759. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
76
|
Cawthon PM, Peters KW, Shardell MD, McLean
RR, Dam TT, Kenny AM, Fragala MS, Harris TB, Kiel DP, Guralnik JM,
et al: Cutpoints for low appendicular lean mass that identify older
adults with clinically significant weakness. J Gerontol A Biol Sci
Med Sci. 69:567–575. 2014. View Article : Google Scholar
|
|
77
|
McGovern J, Dolan RD, Horgan PG, Laird BJ
and McMillan DC: Computed tomography-defined low skeletal muscle
index and density in cancer patients: Observations from a
systematic review. J Cachexia Sarcopenia Muscle. 12:1408–1417.
2021. View Article : Google Scholar : PubMed/NCBI
|
|
78
|
Ubachs J, Ziemons J, Minis-Rutten IJG,
Kruitwagen R, Kleijnen J, Lambrechts S, Olde Damink SWM, Rensen SS
and Van Gorp T: Sarcopenia and ovarian cancer survival: A
systematic review and meta-analysis. J Cachexia Sarcopenia Muscle.
10:1165–1174. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
79
|
Muraki I: Muscle mass assessment in
sarcopenia: A narrative review. JMA J. 6:381–386. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
80
|
Li C, Huang Y, Wang H, Lu J and He B:
Application of imaging methods and the latest progress in
sarcopenia. Chin J Academic Radiol. 7:15–27. 2024. View Article : Google Scholar
|
|
81
|
Fernandes DPS, Juvanhol LL, Lozano M and
Ribeiro AQ: Calf circumference is an independent predictor of
mortality in older adults: An approach with generalized additive
models. Nutr Clin Pract. 37:1190–1198. 2022. View Article : Google Scholar
|
|
82
|
Pagotto V, Santos KFD, Malaquias SG,
Bachion MM and Silveira EA: Calf circumference: Clinical validation
for evaluation of muscle mass in the elderly. Rev Bras Enferm.
71:322–328. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
83
|
Maeda K, Koga T, Nasu T, Takaki M and
Akagi J: Predictive accuracy of calf circumference measurements to
detect decreased skeletal muscle mass and European society for
clinical nutrition and metabolism-defined malnutrition in
hospitalized older patients. Ann Nutr Metab. 71:10–15. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
84
|
Kawakami R, Murakami H, Sanada K, Tanaka
N, Sawada SS, Tabata I, Higuchi M and Miyachi M: Calf circumference
as a surrogate marker of muscle mass for diagnosing sarcopenia in
Japanese men and women. Geriatr Gerontol Int. 15:969–976. 2015.
View Article : Google Scholar
|
|
85
|
Sahin MEH, Akbas F, Yardimci AH and Sahin
E: The effect of sarcopenia and sarcopenic obesity on survival in
gastric cancer. BMC Cancer. 23:9112023. View Article : Google Scholar : PubMed/NCBI
|
|
86
|
Sealy MJ, Dechaphunkul T, van der Schans
CP, Krijnen WP, Roodenburg JLN, Walker J, Jager-Wittenaar H and
Baracos VE: Low muscle mass is associated with early termination of
chemotherapy related to toxicity in patients with head and neck
cancer. Clin Nutr. 39:501–509. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
87
|
van der Kroft G, van Dijk DPJ, Rensen SS,
Van Tiel FH, de Greef B, West M, Ostridge K, Dejong CHC, Neumann UP
and Olde Damink SWM: Low thoracic muscle radiation attenuation is
associated with postoperative pneumonia following partial
hepatectomy for colorectal metastasis. HPB (Oxford). 22:1011–1019.
2020. View Article : Google Scholar : PubMed/NCBI
|
|
88
|
Li Y, Wang WB, Jiang HG, Dai J, Xia L,
Chen J, Xie CH, Peng J, Liao ZK, Gao Y, et al: Predictive value of
pancreatic dose-volume metrics on sarcopenia rate in gastric cancer
patients treated with adjuvant chemoradiotherapy. Clin Nutr.
38:1713–1720. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
89
|
Blauwhoff-Buskermolen S, Langius JAE,
Becker A, Verheul HMW and de van der Schueren MAE: The influence of
different muscle mass measurements on the diagnosis of cancer
cachexia. J Cachexia Sarcopenia Muscle. 8:615–622. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
90
|
Tao J, Fang J, Chen L, Liang C, Chen B,
Wang Z, Wu Y and Zhang J: Increased adipose tissue is associated
with improved overall survival, independent of skeletal muscle mass
in non-small cell lung cancer. J Cachexia Sarcopenia Muscle.
14:2591–2601. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
91
|
Pineda-Zuluaga MC, Gonzalez-Correa CH and
Sepulveda-Gallego LE: Cut-off points for low skeletal muscle mass
in older adults: Colombia versus other populations. F1000Res.
11:3042022. View Article : Google Scholar : PubMed/NCBI
|
|
92
|
Bulut EA, Soysal P, Dokuzlar O, Kocyigit
SE, Aydin AE, Yavuz I and Isik AT: Validation of population-based
cutoffs for low muscle mass and strength in a population of Turkish
elderly adults. Aging Clin Exp Res. 32:1749–1755. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
93
|
Bjorkman MP, Pitkala KH, Jyvakorpi S,
Strandberg TE and Tilvis RS: Bioimpedance analysis and physical
functioning as mortality indicators among older sarcopenic people.
Exp Gerontol. 122:42–46. 2019. View Article : Google Scholar
|
|
94
|
Han DS, Chang KV, Li CM, Lin YH, Kao TW,
Tsai KS, Wang TG and Yang WS: Skeletal muscle mass adjusted by
height correlated better with muscular functions than that adjusted
by body weight in defining sarcopenia. Sci Rep. 6:194572016.
View Article : Google Scholar : PubMed/NCBI
|
|
95
|
Bahat G, Tufan A, Tufan F, Kilic C,
Akpinar TS, Kose M, Erten N, Karan MA and Cruz-Jentoft AJ: Cut-off
points to identify sarcopenia according to European Working Group
on Sarcopenia in Older People (EWGSOP) definition. Clin Nutr.
35:1557–1563. 2016. View Article : Google Scholar : PubMed/NCBI
|