دورية أكاديمية
A New Metastatic Lymph Node Classification-based Survival Predicting Model in Patients With Small Bowel Adenocarcinoma: A Derivation and Validation Study
| العنوان: | A New Metastatic Lymph Node Classification-based Survival Predicting Model in Patients With Small Bowel Adenocarcinoma: A Derivation and Validation Study |
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| المؤلفون: | Shan Wu, Jin-Nan Chen, Qing-Wei Zhang, Chao-Tao Tang, Xin-Tian Zhang, Ming-Yu Tang, Xiao-Bo Li, Zhi-Zheng Ge |
| المصدر: | EBioMedicine, Vol 32, Iss , Pp 134-141 (2018) |
| بيانات النشر: | Elsevier, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Medicine LCC:Medicine (General) |
| مصطلحات موضوعية: | Medicine, Medicine (General), R5-920 |
| الوصف: | Background: Current methods of lymph node (LN) staging are controversial in predicting the survival of SBA. We aimed to develop an alternative LN-classification-based nomogram to individualize SBA prognosis. Methods: Based on the data from the Surveillance, Epidemiology, and End Results (SEER) database of patients diagnosed with SBA between 2004 and 2014, we identified the cut-off points for the number of LNs examined and the number found to be metastatic using the K-adaptive partitioning (KAPS) algorithm. Using metastatic LNs, a nomogram predicting the survival of SBA was derived, internally and externally validated, and measured by calibration curve, C-index, and decision curve analysis (DCA), and compared to the 8th TNM stage. Results: A total of 1516 patients were included. The cut-off of 17 was the optimal examined LN number. For metastatic LN numbers, the cut-off points were 0, 2, and 8. The C-index for the nomogram was higher than the 8th TNM staging (internal: 0.734; 95% CI, 0.693 to 0.775 vs. 0.677; 95% CI, 0.652 to 0.702, P 8 metastatic LNs and set the least examined LN number to 17. A nomogram based on this staging showed great clinical usability than TNM staging for predicting the survival of SBA patients. Keywords: Small bowel carcinoma, Metastatic lymph node, Survival predicting model, TNM staging |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3964 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352396418301865; https://doaj.org/toc/2352-3964 |
| DOI: | 10.1016/j.ebiom.2018.05.022 |
| URL الوصول: | https://doaj.org/article/f988133e4bf64fdf84924d306f35b968 |
| رقم الأكسشن: | edsdoj.f988133e4bf64fdf84924d306f35b968 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 23523964 |
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| DOI: | 10.1016/j.ebiom.2018.05.022 |