Table 1 Basic characteristics of included studies
Author | Year | Country | Sample size | Type of cancer | Cutoff value of PNI | Determining method of cutoff value | Source of HR | Endpoint | NOS |
|---|---|---|---|---|---|---|---|---|---|
Watanabe [30] | 2016 | Japan | 46 | PC | 40 | NR | U | OS | 6 |
Onoe [26] | 2019 | Japan | 165 | PHA | 38 | Median | M | OS | 6 |
Cai [19] | 2020 | China | 85 | PHC, PAC | 48.4 | ROC curve | M | OS | 6 |
Yoo [33] | 2020 | South Korea | 118 | AVC | 48.85 | C-index | U/M | DFS | 6 |
Wu [31] | 2021 | China | 177 | PHA | 48.5 | C-index | M | OS | 6 |
Xiao [32] | 2021 | China | 138 | PA | 46.63 | ROC curve | M | OS | 6 |
Cui [21] | 2022 | China | 119 | PDA | 40.5 | NR | M | OS | 6 |
Jiang [24] | 2022 | China | 251 | PHC | 45.1 | ROC curve | M | OS | 7 |
Chen [20] | 2023 | China | 164 | PHC | Continuous | - | M | OS, DFS | 6 |
Huang [23] | 2023 | China | 122 | PC | 44.6 | ROC curve | M | OS | 6 |
Ma [25] | 2023 | China | 160 | DC | 42.275 | ROC curve | M | OS | 7 |
Hidaka [22] | 2024 | Japan | 136 | PHC | 44.0 | Median | U | OS, DFS | 6 |
Sun [27] | 2024 | China | 233 | AA | 45.3 | ROC curve | M | OS, DFS | 7 |
Suto [28] | 2024 | Japan | 112 | PC | 36.9 | ROC curve | M | OS | 6 |
Utsumi [29] | 2024 | Japan | 80 | PC | 45 | ROC curve | M | OS | 6 |