Table 3.
Meta-regression of baseline data.
| Hr | Coef. | Std. Err. | t | p > |t| | [95% Conf.] | Interval |
|---|---|---|---|---|---|---|
| year | −0.0623897 | 0.2007026 | −0.31 | 0.761 | −0.4996832 | 0.3749038 |
| country | 0.0193201 | 0.1760801 | −0.11 | 0.914 | −0.4029657 | 0.3643255 |
| age | 0.1452009 | 0.2485765 | 0.58 | 0.57 | −0.3964008 | 0.6868027 |
| gender | 0.879301 | 0.1934452 | 0.45 | 0.658 | −0.3335507 | 0.5094109 |
| Extent of surgery |
−0.1954218 | 0.3527367 | −0.55 | 0.59 | −0.963969 | 0.5731255 |
| treatment | 0.1881377 | 0.4750795 | 0.4 | 0.699 | −0.8469717 | 1.223247 |
| cons | 1.393349 | 2.010993 | 0.69 | 0.502 | −2.988229 | 5.774926 |
Note: Meta-regression Number of obs = 19; REML estimate of between-study variance tau2 = 0; % residual variation due to heterogeneity I-squared_res = 0.00%; Proportion of between-study variance explained Adj R-squared = %; Joint test for all covariates Model F (6,12) = 0.25; With Knapp–Hartung modification Prob > F = 0.9513.