Author and year | Period | Region | Sample size | Gender (M/F) | Median age | Type of biomarker | Cutoff value | Surgery | NAC | AC | Outcome | Follow-up (months) | NOS score | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NLR | PLR | MLR | |||||||||||||
Xu et al. 2020 [24] | 2003–2016 | China | 703 | 399/304 | 67 | NLR | 2.5 | - | - | RNU | 0 | 287 | OS, CSS, RFS | 42 (1–168) | 7 |
Jan et al. 2019 [13] | 2007–2017 | Taiwan | 424 | 189/235 | 70 | NLR, PLR, MLR | 4.0 | 150 | 0.4 | RNU | 0 | 40 | OS, CSS, PFS | 35 (14–60) | 7 |
Kuroda et al. 2019 [14] | 1999–2017 | Japan | 187 | 138/49 | 71 | NLR, PLR | 2.035 | 165 | - | RNU | 4 | 53 | CSS, RFS | Mean = 49.2 (3.4-209.2) | 7 |
Li et al. 2019 [25] | 2008–2017 | China | 704 | 401/303 | Mean = 66 | MLR | - | - | 3.6 | RNU | 0 | 286 | OS, CSS, RFS | 36 (34–43) | 7 |
Zheng et al. 2019 [15] | 2005–2015 | China | 259 | 185/74 | Mean = 67.5 | NLR, PLR, MLR | 2.53 | 126.88 | 0.35 | RNU | 0 | 28 | OS, CSS, MFS | 33.3 (15.5–64.2) | 8 |
Kohada et al. 2018 [26] | 1999–2016 | Japan | 148 | 112/36 | Mean = 71 | NLR | 3.0 | - | - | RNU | 0 | 25 | CSS, RFS | 35.5 | 7 |
Nishikawa et al. 2018 [27] | 2005–2015 | Japan | 135 | 106/29 | 69 | NLR | 3.0 | - | - | RNU | 0 | 30 | RFS | 36.1 | 7 |
Son et al. 2018 [28] | 2004–2015 | Korea | 1137 | 825/312 | 69 | NLR, PLR | 3.3 | 142 | - | RNU | NA | 348 | CSS, RFS | 39.1 (18.3–63.8) | 7 |
Tan et al. 2018 [29] | 2004–2015 | China | 717 | 408/309 | 67 | NLR | 2.5 | - | - | RNU | 0 | 291 | OS, CSS, RFS | 42 (1–167) | 7 |
Zhang et al. 2018 [30] | 1990–2011 | China | 100 | 79/21 | Mean = 68.3 | MLR | - | - | 3.0 | RNU | 0 | NA | OS | Mean = 45.83 (1–151) | 7 |
Altan et al. 2017 [16] | 1990–2017 | Turkey | 113 | 86/27 | Mean = 63.7 | NLR, PLR, MLR | 2.9 | 150 | 2.9 | RNU | NA | 0 | DFS, PFS | 34 (3–186) | 6 |
Dalpiaz et al. 2017 [17] | 1990–2012 | Austria | 180 | 109/71 | 70 | PLR | - | 150 | - | RNU | NA | NA | OS, CSS | 30 | 7 |
Huang et al. 2017 [31] | 2003–2013 | China | 425 | 279/146 | Mean = 65.9 | NLR | 2.955 | - | - | RNU | 0 | 86 | OS, CSS | 38.5 (23–62) | 7 |
Jiang et al. 2017 [32] | 2005-2015 | China | 113 | 76/37 | Mean = 64.86 | PLR | - | 150 | - | RNU | NA | 32 | CSS, RFS | 29 (2–113) | 6 |
Kang et al. 2017 [18] | 1994–2012 | Korea | 90 | 67/23 | 62 | NLR | 2.9 | - | - | RNU | 0 | 90 | OS, CSS | NA | 6 |
Vartolomei et al. 2017 [19] | 1990–2008 | Austria | 2274 | 1527/747 | 69 | NLR | 2.7 | - | - | RNU | 0 | 217 | CSS, RFS | 40 (20–76) | 8 |
Cheng et al. 2016 [20] | 2005–2010 | Taiwan | 195 | 79/116 | Mean = 68 | NLR | 2.7 | - | - | RNU | NA | 35 | OS, CSS | 36 | 7 |
Huang et al. 2016 [33] | 2002–2013 | China | 481 | 311/170 | Mean = 65.8 | NLR, PLR | 3.22 | 241.2 | - | RNU | 0 | 96 | OS, CSS | 40 (24–64) | 7 |
Song et al. 2016 [34] | 2005–2011 | China | 140 | 86/54 | 67 | NLR, PLR, MLR | 2.2 | 128 | 3.6 | RNU | NA | 0 | DFS, PFS | 45 (11–108) | 7 |
Hutterer et al. 2015 [35] | 1990–2012 | Austria | 182 | 111/71 | Mean = 69.0 | MLR | - | - | 2.0 | RNU | NA | NA | OS | NA | 7 |
Tanaka et al. 2015 [36] | 1995–2011 | Japan | 394 | 289/105 | 70 | NLR | 3.0 | - | - | RNU | 0 | 88 | CSS, RFS | 30 (15–63) | 7 |
Dalpiaz et al. 2014 [37] | 1990–2012 | Austria | 202 | 122/80 | Mean = 69.3 | NLR | 2.7 | - | - | RNU | 0 | 0 | OS, CSS | 45 (0–199) | 8 |
Luo et al. 2014 [38] | 2005–2010 | Taiwan | 234 | 102/132 | NA | NLR | 3.0 | - | - | RNU | 0 | 0 | CSS, MFS | Mean = 40.7 | 7 |
Tanaka et al. 2014 [39] | 1993–2011 | Japan | 665 | 493/172 | Mean = 70 | NLR | 3.0 | - | - | RNU | 0 | 129 | CSS, RFS | 28 (14–57) | 7 |
Azuma et al. 2013 [40] | 1994–2008 | Japan | 137 | 106/31 | Mean = 69.4 | NLR | 2.5 | - | - | RNU | NA | NA | CSS, RFS | 60.9 (6.9–187.3) | 7 |