SPSS23.0 statistical software was used to perform an independent sample t-test, and the results were displayed as the mean ± standard deviation. SMD and summarized receiver operating characteristic (SROC) were calculated using STIL expression by STATA15.0. The Q test of the χ2 test and I2 were used to detect heterogeneity. When p > 0.05 and I2 < 50 %, there was considered to be no heterogeneity, and the use of a fixed effects model was employed. Alternatively, a continuous variable meta-analysis was performed in conjunction with a random effects model. The overall results were subjected to a sensitivity analysis to determine the effects of each gene chip. Publication bias was evaluated using Begg’s and Egger’s tests. In addition, the Kaplan-Meier method was used for survival analysis, and the difference in the survival rate was calculated with a log-rank test. Statistical significance was considered at p < 0.05.

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