Overall sarcoma-specific death at 12 years was 36% (95% CI, 33% to 39%) in this cohort.
Three prediction methods were compared using bootstrap-corrected concordance indices: Kaplan-Meier analysis of all subsets (0.69), recursive partitioning (0.74), and Cox proportional hazards regression (0.77).
The Cox regression model, which had the highest concordance index, was used to construct the final nomogram.
Predictor variables in the nomogram included age at diagnosis, tumor size (≤5, 5-10, or >10 cm), histologic
Grade (high or low), histologic sub
Type (fibrosarcoma, leiomyosarcoma, liposarcoma, malignant fibrous histiocytoma, malignant peripheral nerve tumor, synovial, or other), depth (superficial or deep), and anatomic site (upper extremity, lower extremity, visceral, thoracic or trunk, retrointraabdominal, or head or neck).
Internal validation with bootstrapping showed the nomogram had excellent calibration.
Overall sarcoma-specific death at 12 years was 36% (95% CI, 33% to 39%) in this cohort.
Three prediction methods were compared using bootstrap-corrected concordance indices: Kaplan-Meier analysis of all subsets (0.69), recursive partitioning (0.74), and Cox proportional hazards regression (0.77).
The Cox regression model, which had the highest concordance index, was used to construct the final nomogram.
Predictor variables in the nomogram included age at diagnosis, tumor size (≤5, 5-10, or >10 cm), histologic
Grade (high or low), histologic sub
Type (fibrosarcoma, leiomyosarcoma, liposarcoma, malignant fibrous histiocytoma, malignant peripheral nerve tumor, synovial, or other), depth (superficial or deep), and anatomic site (upper extremity, lower extremity, visceral, thoracic or trunk, retrointraabdominal, or head or neck).
Internal validation with bootstrapping showed the nomogram had excellent calibration.