Table 2 Sarcopenia definition, assessment and prevalence
No | Modality | Index | Cut-off, Male | Cut-off, Female | Method | Prevalence | Reference | Country | NOS |
|---|---|---|---|---|---|---|---|---|---|
1 | CT/L3 | SMI | 32.5 | 28.6 | Cut-off from 3-year overall survival | 16.1% | Zheng, Z. 2017 | China | 7 |
2 | CT/L3 | SMI | 36 | 29 | Cut-off from Iritani et al. | 3.4% | Nishigori, T. 2018 | Japan | 7 |
12.5% | Wang, S. 2016 | China | 7 | ||||||
12.0% | Huang, D. 2015 | China | 8 | ||||||
3 | CT/L3 | SMI | 40.8 | 34.9 | Cut-off from Zhuang et al. | 15.4% | Zhang, Y. 2019 | China | 7 |
19.7% | Zhang, W. 2018 | China | 6 | ||||||
17.5% | Nishigori, T. 2018 | Japan | 7 | ||||||
19.4% | Mao, C. 2018 | China | 6 | ||||||
15.5% | Lin, J. 2018 | China | 5 | ||||||
24.5% | Chen, W. 2018 | China | 7 | ||||||
28.8% | Zhou, C. 2017 | China | 7 | ||||||
6.8% | Lou, N. 2017 | China | 7 | ||||||
37.4% | Huang, D. 2017 | China | 7 | ||||||
41.5% | Zhuang, C. 2016 | China | 8 | ||||||
30.1% | Huang, D. 2016 | China | 7 | ||||||
24.7% | Chen, F. 2016 | China | 6 | ||||||
4 | CT/L3 | SMI | 43.2 | 34.6 | Cut-off from Sakurai et al. | 22.0% | Nishigori, T. 2018 | Japan | 7 |
25.0% | Sakurai, K. 2017 | Japan | 8 | ||||||
5 | CT/L3 | SMI | 44.5 | 36.5 | Cut-off from the third quartile cases | 25.8% | Harada, K. 2016 | Japan | 6 |
6 | CT/L3 | SMI | 45 | 33.8 | Cut-off from the third quartile cases | 25.7% | Takeda, Y. 2018 | Japan | 7 |
7 | CT/L3 | SMI | 47.2 | 36.9 | Cut-off from the median of SMI | 49.9% | Nakashima, Y. 2018 | Japan | 8 |
8 | CT/L3 | SMI | 49 | 31 | Cut-off from Kim et al. | 38.5% | Park, S. 2018 | Korea | 6 |
9 | CT/L3 | SMI | 49.5 | 42.1 | Cut-off from the third quartile cases | 25.0% | Miyamoto, Y. 2015 | Japan | 7 |
10 | CT/L3 | SMI | 52.4 | 38.9 | Cut-off from Prado et al. | 14.6% | Yang, J. 2019 | China | 6 |
35.7% | O’Brien, S. 2018 | Ireland | 7 | ||||||
64.4% | Nishigori, T. 2018 | Japan | 7 | ||||||
7.4% | Guinan, E. 2018 | Ireland | 4 | ||||||
39.4% | Choi, M. 2018 | Korea | 7 | ||||||
39.8% | Choi, M. 2018 | Korea | 6 | ||||||
71.8% | Beuran, M. 2018 | Romania | 5 | ||||||
83.3% | Mayanagi, S. 2017 | Japan | 7 | ||||||
23.7% | Elliott, J. 2017 | Ireland | 6 | ||||||
74.9% | Nishigori, T. 2016 | Japan | 7 | ||||||
60.2% | Malietzis, G. 2016 | UK | 7 | ||||||
45.0% | Grotenhuis, B. 2016 | Netherlands | 8 | ||||||
43.1% | Anandavadivelan, P. 2016 | Swede | 5 | ||||||
47.7% | Reisinger, K. 2015 | Netherlands | 6 | ||||||
25.7% | Yip, C. 2014 | UK | 5 | ||||||
38.9% | Lieffers, J. 2012 | Canada | 7 | ||||||
2.1% | Awad, S. 2012 | UK | 4 | ||||||
49.4% | Tan, B. 2015 | UK | 5 | ||||||
| Â | Sugiyama, K. 2018 | Japan | 5 | ||||||
11 | CT/L3 | SMI | 55.4 | 38.9 | Cut-off from Prado et al. | 70.6% | Barret, M. 2014 | France | 5 |
12 | CT/L3 | SMI | 55 | 39 | Cut-off from Voron et al. | 57.3% | Nipp, R. 2018 | USA | 4 |
38.5% | Paireder, M. 2017 | Austria | 8 | ||||||
65.0% | Tamandl, D. 2016 | Austria | 7 | ||||||
13 | CT/L3 | SMI | 43/53 (BMI lower or higher than 25) | 41 | Cut-off from Martin et al. | 27.5% | Hopkins, J. 2019 | Canada | 7 |
50.5% | van Vugt, J. 2018 | Netherlands | 8 | ||||||
52.4% | van der Kroft, G. 2018 | Netherlands | 6 | ||||||
14.7% | Souza, B. 2018 | Brazil | 4 | ||||||
32.4% | Park, H. 2018 | Korea | 6 | ||||||
42.9% | Nishigori, T. 2018 | Japan | 7 | ||||||
24.3% | Mosk, C. 2018 | Netherlands | 6 | ||||||
34.5% | Mauricio, S. 2018 | Brazil | 7 | ||||||
38.0% | Kurk, S. 2018 | Netherlands | 4 | ||||||
23.4% | Palmela, C. 2017 | Portugal | 4 | ||||||
28.4% | Kudou, K. 2017 | Japan | 8 | ||||||
21.3% | Black, D. 2017 | UK | 7 | ||||||
23.9% | Black, D. 2017 | UK | 7 | ||||||
40.2% | Chemama, S. 2016 | France | 6 | ||||||
56.7% | Blauwhoff-Buskermolen, S. 2016 | Netherlands | 6 | ||||||
56.6% | Tegels, J. 2015 | Netherlands | 6 | ||||||
27.4% | Pedziwiatr, M. 2016 | Poland | 7 | ||||||
69.8% | Hayashi, N. 2016 | Japan | 6 | ||||||
14 | CT/L3 | SMI | 52/54 (BMI lower or higher than 30) | 38/47 (BMI lower or higher than 30) | Cut-off from Caan et al. | 45.9% | Feliciano, E. 2017 | USA | 6 |
15 | CT/L3 | SMI | – | – | z-score below - 0.5 for SMI in different ages | 6.7% | Martin, L. 2018 | Canada | 6 |
16 | CT/L3 | TPA | 538 | 346 | normal TPA in the lowest sex-specific quartile | 33.3% | Ouchi, A. 2016 | Japan | 6 |
17 | CT/L3 | TPA | 545 | 385 | Cut-off from Fearon et al. | 29.3% | Mirkin, K. 2017 | USA | 5 |
15.0% | Jones, K. 2015 | UK | 4 | ||||||
18 | CT | VEV | 1.92 | 1.92 | Cut-off from the quartiles | 25.0% | Park, B. 2015 | Korea | 5 |
19 | CT | VFA | 100 | 100 | Cut-off from the Japanese Society for study of Obesity | 35.9% | Wang, S. 2018 | China | 7 |
65.3% | Takeuchi, M. 2016 | Japan | 6 | ||||||
40.5% | Heus, C. 2016 | Netherlands | 4 |