Fig. 3: Survival analyses of AI and pathologist grading.
a, Kaplan–Meier curves illustrating the difference in DFS according to AI grading. b, Multivariable Cox regression analyses showing that the prognostic effect of AI grading is independent of age, sex, tumor stage, smoking pack-years, adjuvant therapy and type of surgery (TRACERx 421: P = 0.009408, LATTICe-A: P = 0.00118). HRs of each variable with 95% CIs are shown on the horizontal axis; the P value was derived using a Wald test. *P < 0.05, **P < 0.01, ***P < 0.001. c, Comparison of DFS prediction measured according to C-index for stage I (TRACERx 421, n = 108; LATTICe-A, n = 337) and stage I–III (TRACERx 421, n = 206, LATTICe-A, n = 729) tumors, where the baseline characteristics included age, sex and tumor stage; AI included baseline parameters and AI grading; path included baseline parameters and pathologist grading; AI + path included baseline parameters, and AI and pathologist gradings. C-indexes with 95% CIs are shown on the vertical axis. AIC, Akaike information criterion.
