Key result
Updated MSKCC nomograms accurately predict prostate cancer mortality with a peak C-index of 0.87.
Why the study?
Prognostication is a cornerstone of prostate cancer management, and the study sought to update pre- and postoperative MSKCC nomograms for predicting 10-yr prostate cancer-specific mortality in Sweden while evaluating the added value of comorbidities.
Do the updated pre- and postoperative MSKCC nomograms accurately predict 10-yr prostate cancer-specific mortality in Swedish men?
Cohort (n=31,106)
Do the updated pre- and postoperative MSKCC nomograms accurately predict 10-yr prostate cancer-specific mortality in Swedish men?
The updated MSKCC nomograms perform well in terms of discrimination and calibration for predicting prostate cancer-specific mortality in Swedish men, with comorbidities adding minimal prognostic value.
Answers are grounded in this paper and cite their sources.
May aid risk stratification in Swedish men; extends MSKCC nomogram validation to a large population-based cohort.
Background and objective: Prognostication is a cornerstone of the clinical management of prostate cancer. This study aims to update the pre- and postoperative Memorial Sloan Kettering Cancer Center (MSKCC) nomograms for the prediction of 10-yr prostate cancer-specific mortality in the competing risk setting in Sweden, and to evaluate the added value of comorbidities. Methods: = 500). Key findings and limitations: The cohort included 31 106 men, of whom 629 died from prostate cancer and 2415 died from other causes during a median follow-up of 8.3 yr (interquartile range: 5.2, 11.8). Comorbidities added more value to the other-cause mortality model than to the prostate cancer-specific mortality model, and were included in all models. Both the preoperative and the postoperative model showed high discrimination for prostate cancer-specific death (optimism-corrected C-index: 0.81 and 0.87, respectively), but not for other-cause mortality (0.67, both models). All models were well calibrated, with minimal overestimation at the higher range of predicted cumulative incidences for the preoperative, but not for the postoperative, model. Conclusions and clinical implications: The updated MSKCC nomograms performed well in terms of discrimination and calibration, and can be used in clinical practice in Sweden. In this study, comorbidity added minimal prognostic value for predicting prostate cancer-specific mortality. External validation is advised for application in other populations. Patient summary: Prognostication is a cornerstone in the clinical management of prostate cancer. In this study, we adapted the best preforming risk classification system, the pre- and postoperative Memorial Sloan Kettering Cancer Center nomograms, for the prediction of prostate cancer-specific death in Swedish setting. The adapted models perform well and can be applied directly to Swedish men with prostate cancer.
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Zelić et al. (2025) conducted a cohort in Prostate cancer (n=31,106). Memorial Sloan Kettering Cancer Center (MSKCC) nomograms was evaluated on 10-yr prostate cancer-specific mortality. The updated pre- and postoperative MSKCC nomograms showed high discrimination for predicting prostate cancer-specific death in Swedish men, with optimism-corrected C-indices of 0.81 and 0.87.
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