A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer
Heli Yang,1 Xiangdong Li,2 Jialun Shi,2 Hao Fu,1 Hao Yang,2 Zhen Liang,1 Hongchao Xiong,1 Hui Wang3 1Department of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Haidian, Beijing, People&rs...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2018-12-01
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| Series: | Cancer Management and Research |
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| Online Access: | https://www.dovepress.com/a-nomogram-to-predict-prognosis-in-patients-undergoing-sublobar-resect-peer-reviewed-article-CMAR |
| _version_ | 1811331352088281088 |
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| author | Yang H Li X Shi J Fu H Yang H Liang Z Xiong H Wang H |
| author_facet | Yang H Li X Shi J Fu H Yang H Liang Z Xiong H Wang H |
| author_sort | Yang H |
| collection | DOAJ |
| description | Heli Yang,1 Xiangdong Li,2 Jialun Shi,2 Hao Fu,1 Hao Yang,2 Zhen Liang,1 Hongchao Xiong,1 Hui Wang3 1Department of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Haidian, Beijing, People’s Republic of China; 2Department of Cardiothoracic Surgery, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, People’s Republic of China; 3Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, People’s Republic of China Introduction: This study aimed to develop a practical nomogram to predict prognosis in patients who are undergoing sublobar resection for stage IA non-small-cell lung cancer (NSCLC). Data from Surveillance, Epidemiology, and End Results (SEER) databases were used to construct the nomogram. Methods: Data from patients undergoing sublobar resection for stage IA NSCLC diagnosed between 2004 and 2014 were extracted from the SEER database. Factors that may predict the outcome were identified using the Kaplan–Meier method and the Cox proportional-hazards model. A nomogram was constructed to predict the 3- and 5-year overall survival (OS) and lung cancer-specific survival (LCSS) rates of these patients. The predictive accuracy of the nomogram was measured using the concordance index (C-index) and calibration curve. Results: A total of 4,866 patients were selected for this study. Using univariate and multivariate analyses, eight independent prognostic factors associated with OS were identified, including sex (P<0.001), age (P<0.001), race (P=0.043), marital status (P=0.009), pathology (P=0.004), differentiation (P<0.001), tumor size (P<0.001), and surgery (P=0.001), and five independent prognostic factors associated with LCSS were also identified, including sex (P<0.001), age (P<0.001), differentiation (P<0.001), tumor size (P<0.001), and surgery (P=0.011). A nomogram was established based on these results and validated using the internal bootstrap resampling method. The C-index of the established nomogram for OS and LCSS was 0.649 (95% CI: 0.635–0.663) and 0.640 (95% CI: 0.622–0.658), respectively. The calibration curves for probability of 3-, and 5-year OS and LCSS rates demonstrated good agreement between the nomogram prediction and actual observation. Conclusion: This innovative nomogram delivered a relatively accurate individual prognostic prediction for patients undergoing sublobar resection for stage IA NSCLC. Keywords: sublobar resection, stage IA, non-small-cell lung cancer, prognostic factors, nomogram |
| first_indexed | 2024-04-13T16:18:56Z |
| format | Article |
| id | doaj.art-79c81569b8b84c1093309685fc535601 |
| institution | Directory Open Access Journal |
| issn | 1179-1322 |
| language | English |
| last_indexed | 2024-04-13T16:18:56Z |
| publishDate | 2018-12-01 |
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| series | Cancer Management and Research |
| spelling | doaj.art-79c81569b8b84c1093309685fc5356012022-12-22T02:39:59ZengDove Medical PressCancer Management and Research1179-13222018-12-01Volume 106611662642807A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancerYang HLi XShi JFu HYang HLiang ZXiong HWang HHeli Yang,1 Xiangdong Li,2 Jialun Shi,2 Hao Fu,1 Hao Yang,2 Zhen Liang,1 Hongchao Xiong,1 Hui Wang3 1Department of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Haidian, Beijing, People’s Republic of China; 2Department of Cardiothoracic Surgery, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, People’s Republic of China; 3Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, People’s Republic of China Introduction: This study aimed to develop a practical nomogram to predict prognosis in patients who are undergoing sublobar resection for stage IA non-small-cell lung cancer (NSCLC). Data from Surveillance, Epidemiology, and End Results (SEER) databases were used to construct the nomogram. Methods: Data from patients undergoing sublobar resection for stage IA NSCLC diagnosed between 2004 and 2014 were extracted from the SEER database. Factors that may predict the outcome were identified using the Kaplan–Meier method and the Cox proportional-hazards model. A nomogram was constructed to predict the 3- and 5-year overall survival (OS) and lung cancer-specific survival (LCSS) rates of these patients. The predictive accuracy of the nomogram was measured using the concordance index (C-index) and calibration curve. Results: A total of 4,866 patients were selected for this study. Using univariate and multivariate analyses, eight independent prognostic factors associated with OS were identified, including sex (P<0.001), age (P<0.001), race (P=0.043), marital status (P=0.009), pathology (P=0.004), differentiation (P<0.001), tumor size (P<0.001), and surgery (P=0.001), and five independent prognostic factors associated with LCSS were also identified, including sex (P<0.001), age (P<0.001), differentiation (P<0.001), tumor size (P<0.001), and surgery (P=0.011). A nomogram was established based on these results and validated using the internal bootstrap resampling method. The C-index of the established nomogram for OS and LCSS was 0.649 (95% CI: 0.635–0.663) and 0.640 (95% CI: 0.622–0.658), respectively. The calibration curves for probability of 3-, and 5-year OS and LCSS rates demonstrated good agreement between the nomogram prediction and actual observation. Conclusion: This innovative nomogram delivered a relatively accurate individual prognostic prediction for patients undergoing sublobar resection for stage IA NSCLC. Keywords: sublobar resection, stage IA, non-small-cell lung cancer, prognostic factors, nomogramhttps://www.dovepress.com/a-nomogram-to-predict-prognosis-in-patients-undergoing-sublobar-resect-peer-reviewed-article-CMARsublobar resectionstage IAnon-small cell lung cancerprognostic factorsnomogram |
| spellingShingle | Yang H Li X Shi J Fu H Yang H Liang Z Xiong H Wang H A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer Cancer Management and Research sublobar resection stage IA non-small cell lung cancer prognostic factors nomogram |
| title | A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer |
| title_full | A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer |
| title_fullStr | A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer |
| title_full_unstemmed | A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer |
| title_short | A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer |
| title_sort | nomogram to predict prognosis in patients undergoing sublobar resection for stage ia non small cell lung cancer |
| topic | sublobar resection stage IA non-small cell lung cancer prognostic factors nomogram |
| url | https://www.dovepress.com/a-nomogram-to-predict-prognosis-in-patients-undergoing-sublobar-resect-peer-reviewed-article-CMAR |
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