Figure 1.
Kaplan-Meier curves showing overall survival for patients by diagnosis group.
The overall survival of patients in Group 1 was significantly lower than that of patients in Groups 2 and 3 at the 3-month time point∞ (p<0.0001, log-rank test). Overall survival was significantly different between all groups at the 12-month time point* (p<0.0001, log-rank test).
Figure 2.
Three-month BBN model with posterior distributions depicted as proportions (%) of the training population.
As shown, there are five first-degree predictors of 3-month survival: the surgeon's estimate of survival (“surgeon_estimate_of_survival”), preoperative hemoglobin concentration (“hemoglobin”), preoperative absolute lymphocyte count (“absolute_lymphocyte_count”), ECOG performance status (“ECOG”), and the presence of a completed pathologic fracture (“completed_path_fx”). The network structure indicates that the primary oncologic diagnosis (“dx_grouping”) and the presence of visceral metastases (“visceral_mets”) are both first-degree associates of the surgeon's estimate node.
Figure 3.
As shown, there are four first-degree predictors of 12-month survival: the surgeon's estimate of survival (“surgeon_estimate_of_survival”), preoperative hemoglobin concentration (“hemoglobin”), the number of bone metastases (“bone_mets”), and the primary oncologic diagnosis (“dx_grouping”). In contrast to the 3-month model, the network structure of the 12-month model indicates that the ECOG performance status (“ECOG”) and the presence of visceral metastases (visceral_mets) are both first-degree associates of the surgeon's estimate node.
Table 1.
Network features used in the final BBN models.
Table 2.
Posterior estimates of survival at 3 months (10 most frequent cases).
Table 3.
Posterior estimates of survival at 12 months (10 most frequent cases).