Why the study?
Patients frequently die from cardiac causes after radiotherapy for esophageal cancer, making early detection of cardiac death risk crucial to improve clinical decision-making and prognosis.
Can a clinical nomogram accurately predict the 5- and 10-year risk of cardiac death in patients undergoing radiotherapy for esophageal cancer?
Can a clinical nomogram accurately predict the 5- and 10-year risk of cardiac death in patients undergoing radiotherapy for esophageal cancer?
A newly developed nomogram incorporating clinical and treatment factors can moderately predict the 5- and 10-year risk of cardiac death in patients receiving radiotherapy for esophageal cancer, potentially aiding in early risk detection.
Answers are grounded in this paper and cite their sources.
Model supports cardiac risk stratification after esophageal radiotherapy; leaves open prospective validation before clinical adoption.
Background: Patients frequently die from cardiac causes after radiotherapy for esophageal cancer. Early detection of cardiac death risk in these patients is crucial to improve clinical decision-making and prognosis. Thus, we modeled the risk of cardiac death after irradiation for esophageal cancer. Methods: = 11,279) at a ratio of 7:3. We identified the risk factors most commonly associated with cardiac death by least absolute shrinkage and selection operator regression analysis (LASSO). The endpoints for model development and validation were 5- and 10-year survival rates. The net clinical benefit of the models was evaluated by decision curve analysis (DCA) and concordance index (C-index). The performance of the models was further assessed by creating a receiver operating characteristic curve (ROC) and calculating the area under the curve (AUC). Kaplan-Meier (K-M) survival analysis was performed on the probability of death. Patients were classified according to death probability thresholds. Five- and ten-year survival rates for the two groups were shown using K-M curves. Results: The major risk factors for cardiac death were age, surgery, year of diagnosis, sequence of surgery and radiotherapy, chemotherapy and a number of tumors, which were used to create the nomogram. The C-indexes of the nomograms were 0.708 and 0.679 for the development and validation groups, respectively. DCA showed the good net clinical benefit of nomograms in predicting 5- and 10-year risk of cardiac death. The model exhibited moderate predictive power for 5- and 10-year cardiac mortality (AUC: 0.833 and 0.854, respectively), and for the development and validation cohorts (AUC: 0.76 and 0.813, respectively). Conclusions: Our nomogram may assist clinicians in making clinical decisions about patients undergoing radiotherapy for esophageal cancer based on early detection of cardiac death risk.
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Lv et al. (2023) studied this question.
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