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- W2909416023 abstract "Background and objective Currently, there are no competing risk analyses of cause-specific mortality in patients with pancreatic neuroendocrine tumors. Materials and methods We estimated a cumulative incidence function for cause-specific mortality. The first nomogram for predicting cause-specific mortality was constructed using a proportional subdistribution hazard model, validated using bootstrap cross-validation, and evaluated with decision curve analysis. Results Sex, age, positive lymph node status, metastasis, surveillance, epidemiology, and end results historic stage, grade, and surgery strongly predicted cause-specific mortality. The discrimination performance of Fine–Gray models was evaluated using the c-index, which was 0.864. In addition, the calibration plot of the developed nomogram demonstrated good concordance between the predicted and actual outcomes. Decision curve analysis yielded a range of threshold probabilities (0.014–0.779) at which the clinical net benefit of the risk model was greater than that in hypothetical all-screening or no-screening scenarios. Conclusion Our nomogram allows selection of a patient population at high risk for cancer-specific mortality and thus facilitates the design of prevention trials for the affected population." @default.
- W2909416023 created "2019-01-25" @default.
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- W2909416023 date "2019-07-01" @default.
- W2909416023 modified "2023-10-14" @default.
- W2909416023 title "Competing risks and cause-specific mortality in patients with pancreatic neuroendocrine tumors" @default.
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- W2909416023 doi "https://doi.org/10.1097/meg.0000000000001350" @default.
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