Table 3 Subgroup analysis of the association between PLR and OS, CSS, RFS, PFS.
Survival analysis | No. of studies | HR (95% CI) | p | I2 (%) | P-value for heterogeneity | Analysis model | Meta Regression P |
|---|---|---|---|---|---|---|---|
OS | |||||||
Total | 13 | 1.51 (1.23, 1.85) | < 0.001 | 84.5 | < 0.001 | Random | |
Ethnicity | 0.819 | ||||||
Asian | 6 | 1.45 (0.98,2.16) | 0.063 | 76.2 | 0.001 | Random | |
Caucasian | 7 | 1.54 (1.19,1.98) | 0.001 | 86.4 | < 0.001 | Random | |
Publication year | 0.019 | ||||||
Before 2020 | 8 | 1.21 (1.00,1.47) | 0.050 | 78.8 | < 0.001 | Random | |
After 2020 | 5 | 2.14 (1.67,2.76) | < 0.001 | 13.1 | 0.330 | Random | |
Sample size | 0.202 | ||||||
< 200 | 7 | 1.97 (1.22,3.17) | 0.006 | 87.8 | < 0.001 | Random | |
≥ 200 | 6 | 1.26 (0.98,1.62) | 0.073 | 68.1 | 0.008 | Random | |
Cut-off value | 0.941 | ||||||
< 150 | 5 | 1.73 (1.06,2.83) | 0.030 | 77.4 | 0.001 | Random | |
≥ 150 | 8 | 1.44 (1.13,1.82) | 0.003 | 86.4 | < 0.001 | Random | |
Treatment | 0.424 | ||||||
TURBT | 4 | 1.30 (0.67,2.53) | 0.438 | 77.0 | 0.005 | Random | |
RC | 9 | 1.61 (1.25,2.06) | < 0.001 | 87.9 | < 0.001 | Random | |
CSS | |||||||
Total | 6 | 1.14 (0.96,1.35) | 0.138 | 56.2 | 0.044 | Random | |
Ethnicity | 0.312 | ||||||
Asian | 3 | 1.42 (0.98,2.07) | 0.063 | 0 | 0.459 | Random | |
Caucasian | 3 | 1.08 (0.91,1.28) | 0.371 | 68.9 | 0.040 | Random | |
Sample size | 0.244 | ||||||
< 200 | 3 | 1.23 (0.73,2.09) | 0.440 | 50.2 | 0.134 | Random | |
≥ 200 | 3 | 1.21 (1.05,1.39) | 0.007 | 0 | 0.964 | Random | |
Cut-off value | 0.870 | ||||||
< 150 | 2 | 1.20 (0.78,1.85) | 0.413 | 0 | 0.775 | Random | |
≥ 150 | 4 | 1.14 (0.93,1.40) | 0.197 | 71.9 | 0.014 | Random | |
Treatment | 0.733 | ||||||
TURBT | 3 | 1.22 (0.80,1.86) | 0.358 | 0 | 0.925 | Random | |
RC | 3 | 1.14 (0.92,1.41) | 0.220 | 80.8 | 0.005 | Random | |
RFS | |||||||
Total | 9 | 1.68 (1.26,2.24) | < 0.001 | 68.6 | 0.001 | Random | |
Ethnicity | 0.080 | ||||||
Asian | 5 | 2.00 (1.40,2.85) | < 0.001 | 55.4 | 0.062 | Random | |
Caucasian | 4 | 1.26(0.97,1.64) | 0.080 | 22.3 | 0.277 | Random | |
Publication year | 0.935 | ||||||
Before 2020 | 2 | 1.72 (0.79,3.77) | 0.175 | 83.7 | 0.013 | Random | |
After 2020 | 7 | 1.70 (1.22,2.38) | 0.002 | 54.4 | 0.040 | Random | |
Sample size | 0.138 | ||||||
< 200 | 5 | 1.64 (1.09,2.49) | 0.019 | 68.2 | 0.014 | Random | |
≥ 200 | 4 | 1.76 (1.07,2.88) | 0.026 | 65.5 | 0.034 | Random | |
Cut-off value | 0.075 | ||||||
< 150 | 6 | 2.02 (1.48,2.77) | < 0.001 | 46.4 | 0.097 | Random | |
≥ 150 | 3 | 1.21 (1.08,1.36) | 0.002 | 0 | 0.779 | Random | |
Treatment | 0.576 | ||||||
TURBT | 8 | 1.81 (1.32,2.47) | < 0.001 | 53.4 | 0.036 | Random | |
PFS | |||||||
Total | 6 | 1.61 (1.00,2.59) | 0.052 | 58.3 | 0.035 | Random | |
Ethnicity | 0.446 | ||||||
Asian | 3 | 1.81 (0.79,4.11) | 0.159 | 74.5 | 0.020 | Random | |
Caucasian | 3 | 1.44 (0.71,2.92) | 0.306 | 51.8 | 0.126 | Random | |
Sample size | 0.387 | ||||||
< 200 | 4 | 1.20(0.71,2.03) | 0.501 | 45.2 | 0.140 | Random | |
≥ 200 | 2 | 2.62(1.61,4.27) | < 0.001 | 2.1 | 0.312 | Random | |
Cut-off value | 0.539 | ||||||
< 150 | 5 | 1.81 (1.12,2.93) | 0.016 | 55.6 | 0.061 | Random | |
Treatment | 0.282 | ||||||
TURBT | 5 | 1.90 (1.21,2.99) | 0.006 | 40.9 | 0.149 | Random | |
