Prediction of Surgical Outcome by Modeling Based on Risk Factors of Morbidity After Pulmonary Resection for Lung Cancer in Older Adults Yuzhao Wang, MD, Nan Wu, MD, Qingfeng Zheng, MD, Jia Wang, MD, Shi Yan, MD, Shaolei Li, MD, Yinan Liu, MD, Jinfeng Chen, MD, Yue Yang, MD The Annals of Thoracic Surgery Volume 102, Issue 3, Pages 971-978 (September 2016) DOI: 10.1016/j.athoracsur.2016.03.116 Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions
Fig 1 The observed proportion of surgical outcome categories in the development cohort stratified according to the risk score (RS). The Annals of Thoracic Surgery 2016 102, 971-978DOI: (10.1016/j.athoracsur.2016.03.116) Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions
Fig 2 Calibration plots of the model in (A) the development cohort and (B) the test cohort. The dotted line represents an optimal prediction. The Annals of Thoracic Surgery 2016 102, 971-978DOI: (10.1016/j.athoracsur.2016.03.116) Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions