1
|
Li D, Li Z, Li S, Zhang H, Yao S, Li Y, Chen J. Development and Validation of a Prediction Model for Positive Findings of Preoperative Flexible Bronchoscopy in Patients with Peripheral Lung Cancer. Curr Oncol 2022; 30:315-325. [PMID: 36661674 PMCID: PMC9858296 DOI: 10.3390/curroncol30010025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/08/2022] [Accepted: 12/16/2022] [Indexed: 12/28/2022] Open
Abstract
(1) Background: It has yet to be determined whether preoperative flexible bronchoscopy (FB) should be routinely performed in patients with peripheral lung cancer. The aim of this study was to construct a model to predict the probability of positive FB findings, which would help assess the necessity of preoperative FB. (2) Methods: A total of 380 consecutive patients with peripheral lung cancer who underwent preoperative FB were recruited for this study. A prediction model was developed through univariate and multivariate logistic regression, with predictors including gender, age, body mass index (BMI), smoking, history of chronic lung diseases, respiratory symptoms, lesion size, lesion type, lesion location in the bronchi, and lesion location in the lobe. The predictive performance of the model was evaluated by validation using 1000 iterations of bootstrap resampling. Model discrimination was assessed using the area under the receiver operating characteristics curve (AUC), and calibration was assessed using the Brier score and calibration plots. (3) Results: The model suggested that male patients with respiratory symptoms, decreased BMI, solid lesions, and lesions located in lower-order bronchi were more likely to have positive FB findings. The AUC and Brier score of the model for internal validation were 0.784 and 0.162, respectively. The calibration curve for the probability of positive FB findings showed convincing concordance between the predicted and actual results. (4) Conclusions: Our prediction model estimated the pretest probability of positive FB findings in patients with peripheral lung cancers. Males and patients with lower BMI, the presence of respiratory symptoms, larger lesions, solid lesions, and lesions located in lower-order bronchi were associated with increased positive FB findings. The use of our model can be of assistance when making clinical decisions about preoperative FB.
Collapse
Affiliation(s)
- Dongyu Li
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
- Yuncheng Central Hospital, Yuncheng 044000, China
| | - Zaishan Li
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Shaolei Li
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Hongbing Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Siqing Yao
- Yuncheng Central Hospital, Yuncheng 044000, China
| | - Yi Li
- Yuncheng Central Hospital, Yuncheng 044000, China
| | - Jun Chen
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| |
Collapse
|
2
|
Zhang N, Wang Y, Yu H, Zhang Y, Xiang F, Jiang H, Zheng Y, Xiong Y, Wang Z, Chen Y, Jiang Q, Shao Y, Zhou Y. Distance to highway and factory density related to lung cancer death and associated spatial heterogeneity in effects in Jiading District, Shanghai. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:64536-64551. [PMID: 34312750 DOI: 10.1007/s11356-021-15438-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 07/09/2021] [Indexed: 06/13/2023]
Abstract
This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weibull distribution was used for spatial survival analysis. Shorter distance to highway (adjusted odds ratio (aOR) = 1.15, 95% confidence interval (CI): 1.03-1.30) and higher factory density (aOR = 1.20, 95% CI: 1.05-1.37) were significantly associated with an increased risk of LC death, and there was a spatial difference in the associations between northern and southern areas of Jiading District. The risk was high in suburbs as compared with urban areas. Traffic- and industrial-related pollution were significantly associated with an increased risk of LC death, which showed a spatial variation. Further studies are needed to better understand the current LC status in the suburbs and to reduce health disparities.
Collapse
Affiliation(s)
- Na Zhang
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Yingjian Wang
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Hongjie Yu
- The Jiading District Center for Disease Control and Prevention, Shanghai, 201800, China
| | - Yiying Zhang
- The Jiading District Center for Disease Control and Prevention, Shanghai, 201800, China
| | - Fang Xiang
- The Jiading District Center for Disease Control and Prevention, Shanghai, 201800, China
| | - Honglin Jiang
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Yingyan Zheng
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Ying Xiong
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Zhengzhong Wang
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Qingwu Jiang
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China
| | - Yueqin Shao
- The Jiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
| | - Yibiao Zhou
- Fudan University School of Public Health, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China.
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China.
- Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'An Road, Xuhui District, Shanghai, 200032, China.
| |
Collapse
|