Table 1 Characteristics of studies on PTCL and NLR
Author | Year | Location | Age | Disease type | Sample size | Cut-off value | Method for cut-off value | High-NLR | Low-NLR | OS | PFS | NOS | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HR | 95%CI | HR | 95%CI | |||||||||||
Yang | 2020 | China | 64 (37–80) | AITL | 39 | 5.43 | Median | 20 | 19 | 6.29 | 1.76, 22.44 | – | – | 8 |
Huang | 2020 | China | 44 (15–82) | ENKTL | 184 | 3.1 | ROC | 72 | 112 | 3.02 | 1.32, 6.92 | – | – | 8 |
Feng | 2020 | China | 55 (15–83) | PTCL | 121 | 3.822 | ROC | 64 | 57 | 1.56 | 0.86, 2.85 | 0.62 | 0.4, 0.94 | 8 |
Zhang | 2019 | China | 44 (15–86) | ENKTL | 191 | 5.5 | ROC | 25 | 166 | 1.44 | 0.73, 2.82 | 1.42 | 0.73, 2.76 | 8 |
Tan | 2019 | Singapore/Korea | 54 (17.1–86.1) | ENKTL | 178 | 3.5 | ROC | 59 | 119 | 2.08 | 1.36, 3.18 | 1.66 | 1.11, 2.46 | 8 |
Choi | 2019 | Korea | ≥ 18 | PTCL | 77 | 3 | Log-rank test | 37 | 40 | 1.55 | 0.64, 3.76 | – | – | 8 |
Beltran | 2019 | Perú | 60 (18–83) | PTCL | 48 | 4 | NA | 13 | 35 | 6.2 | 1.9, 20.9 | – | – | 8 |
Beltran | 2016 | Perú | 58 (18–87) | PTCLU | 83 | 4 | Refer to the review | 29 | 54 | 4.73 | 1.78, 12.6 | – | – | 8 |