Table 1 Basic characteristics of included studies
Year | Author | Country | Sample size | Neoadjuvant treatment | Adjuvant treatment | Measurement | Cut-off value | Primary outcome | Secondary outcome |
|---|---|---|---|---|---|---|---|---|---|
2023 | Shen [46] | China | 614 | NA | 379 (61.7%) | SMI | Male < 52.4cm2/m2; female < 38.5 cm2/m2 | OS (HR = 1.23, 95% CI 0.93–1.62) MC | NA |
2022 | Özkul [45] | Turkey | 115 | NA | NA | SMI | Male < 56.44cm2/m2; female < 43.56cm2/m2 | OS (HR = 1.23, 95% CI 1.33–1.85) | NA |
2022 | Cai [44] | China | 115 | NA | 84 (73.0%) | SMI | Male < 45.16cm2/m2; female < 34.65cm2/m2 | OS (HR = 2.31, 95% CI 1.21–4.40) PFS (HR = 1.91, 95% CI 1.15–3.17) | NA |
2022 | Kim [14] | Korea | 347 | 0(0.0%) | 226 (65.1%) | SMI | Following legends behinda | OS (HR = 1.40, 95% CI 0.93–2.10) PFS (HR = 1.43, 95% CI 0.96–2.13) | NA |
2021 | Rom [15] | Israel | 111 | 3(2.7%) | 73 (65.8%) | SMI | Male < 44.35cm2/m2; female < 34.82cm2/m2 | OS (HR = 1.73, 95% CI 1.07–2.80) MC | OC |
2021 | d’Engremont [43] | France | 76 | NA | NA | SMI | Male < 52.4cm2/m2; female < 38.5cm2/m2 | PFS (HR = 1.78, 95% CI 1.01–3.14) | NA |
2020 | Ryu [41] | Korea | 548 | 22(4.0%) | NA | SMI | Male < 50.18cm2/m2; female < 38.63cm2/m2 | OS (HR = 1.16, 95% CI 0.92–1.46) MC | CR-POPF PPH DGE SSI |
2020 | Xu [42] | China | 152 | NA | NA | PMI | Male < 4.78cm2/m2; female < 3.46cm2/m2 | MC | NA |
2020 | Peng [40] | China | 116 | 3 (2.6%) | 58 (34.9%) | SMI | Male < 42.2cm2/m2; female < 33.9cm2/m2 | OS (HR = 2.51, 95% CI 1.03–6.12) PFS (HR = 1.00, 95% CI 0.55–1.81) MC | NA |
2019 | Ratnayake [39] | New Zealand | 89 | NA | NA | SMI | Male < 43cm2/m2 (BMI < 25 kg/m2), 53cm2/m2 (BMI > 25 kg/m2); female < 41cm2/m2 | MC | OC CR-POPF PPH DGE SSI |
2019 | Gruber [38] | Austria | 133 | 20 (15.0%) | NA | SMI | Male < 52.4cm2/m2; female < 38.5cm2/m2 | OS (HR = 1.51, 95% CI 1.04–2.19) MC | CR-POPF |
2018 | Yamane [37] | Japan | 99 | NA | NA | SMI | Male < 43cm2/m2 (BMI < 25 kg/m2), 53cm2/m2 (BMI > 25 kg/m2); female < 41cm2/m2 | NA | CR-POPF |
2018 | Wagner [36] | Austria | 424 | NA | NA | PMI | Male < 20.74cm2/m2; female < 14.65cm2/m2 | MC | OC |
2018 | Tankel [35] | Israel | 61 | 3 (4.9%) | NA | PMI | Male < 4.92cm2/m2; female < 3.62cm2/m2 | MC | CR-POPF DGE |
2018 | EI Amrani [34] | France | 107 | NA | NA | SMI | Male < 52.4cm2/m2; female < 38.5cm2/m2 | OS (HR = 2.04, 95% CI 0.93–4.47) MC | CR-POPF DGE SSI |
2018 | Choi [16] | Korea | 180 | NA | NA | SMI | Male < 45.3cm2/m2; female < 39.3cm2/m2 | OS (HR = 1.78, 95% CI 1.20–2.65) MC | OC |
2017 | Takagi [33] | Japan | 219 | NA | NA | SMI | Male < 68.5cm2/m2; female < 52.5cm2/m2 | MC | CR-POPF DGE SSI |
2017 | Okumura [32] | Japan | 301 | 33 (11.0%) | 216 (71.2%) | SMI | Male < 47.1cm2/m2; female < 36.6cm2/m2 | OS (HR = 1.79, 95% CI 1.24–2.58) PFS (HR = 1.60, 95% CI 1.18–2.16) MC | CR-POPF |
2017 | Ninomiya [17] | Japan | 265 | 0 (0.0%) | 174 (65.6%) | SMI | Male < 43.75cm2/m2; female < 38.5cm2/m2 | OS (HR = 2.11, 95% CI 1.20–3.70) MC | NA |
2016 | Nishida [31] | Japan | 266 | 22 (8.3%) | NA | SMI | Male < 43cm2/m2 (BMI < 25 kg/m2), 53cm2/m2 (BMI > 25 kg/m2); female < 41cm2/m2 | MC | CR-POPF DGE SSI |
2015 | Okumura [30] | Japan | 230 | 24 (10.4%) | NA | PMI | Male < 5.90cm2/m2; female < 4.07cm2/m2 | OS (HR = 1.99, 95% CI 1.37–2.90) PFS (HR = 1.60, 95% CI 1.14–2.24) MC | NA |
2015 | Amini [29] | USA | 763 | NA | NA | PMI | Male < 5.64cm2/m2; female < 4.15cm2/m2 | OS (HR = 1.46, 95% CI 1.11–1.92) MC | OC |
2012 | Peng [28] | China | 557 | NA | NA | PMI | Male < 4.92cm2/m2; female < 3.62cm2/m2 | OS (HR = 1.63, 95% CI 1.28–2.08) MC | OC |