The predictive ability and consistency of the DTG‐S classification and the other predictive models for DFS were compared using the ROC and c‐index, respectively. The reclassification improvement of the DTG‐S classification over other prediction models for correcting the risk group of patients was analyzed by the Net Reclassification Improvement (NRI) index and its p‐value. 22

Univariable and multivariable Cox regression analyses were performed to determine whether the prognostic ability of DTG‐S was affected by other factors. Kaplan‐Meier curves and log‐rank tests were generated to illustrate the relationship between the DFS and variables by SPSS (version 25). < 0.05 was considered significantly different in the Cox regression and log‐rank tests.

The relationship between the pCR and DTG‐S classification was analyzed using one‐way ANOVA in SPSS. The predictive ability of DTG‐S for pCR was assessed using ROC curve analysis and a 95% confidence interval (CI). The pCR rate was analyzed between the DTG‐S low (DTG‐SL) and high (DTG‐SH) groups using the chi‐square test in SPSS. Univariate and multivariate logistic regression analyses were implemented and contained DTG‐S and other variables to estimate the odds ratio and its 95% CI for pCR.

As mentioned in the preceding section, R software (version 3.6.1), SPSS (version 25) and Paris 8 were the primary software types used. Statistical significance was defined by a two‐sided p‐value <0.05 in all of the analyses.

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