These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
234 related articles for article (PubMed ID: 27389173)
1. Melanoma-specific mortality and competing mortality in patients with non-metastatic malignant melanoma: a population-based analysis. Shen W; Sakamoto N; Yang L BMC Cancer; 2016 Jul; 16():413. PubMed ID: 27389173 [TBL] [Abstract][Full Text] [Related]
2. Nomogram to Predict Cause-Specific Mortality in Patients With Surgically Resected Stage I Non-Small-Cell Lung Cancer: A Competing Risk Analysis. Zhou H; Zhang Y; Qiu Z; Chen G; Hong S; Chen X; Zhang Z; Huang Y; Zhang L Clin Lung Cancer; 2018 Mar; 19(2):e195-e203. PubMed ID: 29153966 [TBL] [Abstract][Full Text] [Related]
3. A Competing-Risks Nomogram in Patients with Metastatic Pancreatic Duct Adenocarcinoma. Lu Y; Zhou Y; Cao Y; Shi Z; Meng Q Med Sci Monit; 2019 May; 25():3683-3691. PubMed ID: 31102397 [TBL] [Abstract][Full Text] [Related]
4. Model to Predict Cause-Specific Mortality in Patients with Head and Neck Adenoid Cystic Carcinoma: A Competing Risk Analysis. Shen W; Sakamoto N; Yang L Ann Surg Oncol; 2017 Aug; 24(8):2129-2136. PubMed ID: 28424937 [TBL] [Abstract][Full Text] [Related]
5. Cancer-specific mortality and competing mortality in patients with head and neck squamous cell carcinoma: a competing risk analysis. Shen W; Sakamoto N; Yang L Ann Surg Oncol; 2015 Jan; 22(1):264-71. PubMed ID: 25074664 [TBL] [Abstract][Full Text] [Related]
6. Model to predict cause-specific mortality in patients with olfactory neuroblastoma: a competing risk analysis. Liu L; Zhong Q; Zhao T; Chen D; Xu Y; Li G Radiat Oncol; 2021 Jun; 16(1):103. PubMed ID: 34112184 [TBL] [Abstract][Full Text] [Related]
7. Competing-risks nomograms for predicting cause-specific mortality in parotid-gland carcinoma: A population-based analysis. Xu F; Feng X; Zhao F; Huang Q; Han D; Li C; Zheng S; Lyu J Cancer Med; 2021 Jun; 10(11):3756-3769. PubMed ID: 33960711 [TBL] [Abstract][Full Text] [Related]
8. Nomograms for Estimating Cause-Specific Death Rates of Patients With Inflammatory Breast Cancer: A Competing-Risks Analysis. Xu F; Yang J; Han D; Huang Q; Li C; Zheng S; Wang H; Lyu J Technol Cancer Res Treat; 2021; 20():15330338211016371. PubMed ID: 34013802 [TBL] [Abstract][Full Text] [Related]
9. Nomogram for Predicting Breast Cancer-Specific Mortality of Elderly Women with Breast Cancer. Lu X; Li X; Ling H; Gong Y; Guo L; He M; Sun H; Hu X Med Sci Monit; 2020 Sep; 26():e925210. PubMed ID: 32920589 [TBL] [Abstract][Full Text] [Related]
10. Population-based study evaluating and predicting the probability of death resulting from thyroid cancer and other causes among patients with thyroid cancer. Yang L; Shen W; Sakamoto N J Clin Oncol; 2013 Feb; 31(4):468-74. PubMed ID: 23270002 [TBL] [Abstract][Full Text] [Related]
11. Nomogram to predict cause-specific mortality of patients with rectal adenocarcinoma undergoing surgery: a competing risk analysis. Zhang X; Xu F; Bin Y; Liu T; Li Z; Guo D; Li Y; Huang Q; Lyu J; He S BMC Gastroenterol; 2022 Feb; 22(1):57. PubMed ID: 35144545 [TBL] [Abstract][Full Text] [Related]
12. A competing risk nomogram predicting cause-specific mortality in patients with lung adenosquamous carcinoma. Wu X; Yu W; Petersen RH; Sheng H; Wang Y; Lv W; Hu J BMC Cancer; 2020 May; 20(1):429. PubMed ID: 32416716 [TBL] [Abstract][Full Text] [Related]
13. Competing-Risks Model for Predicting the Postoperative Prognosis of Patients with Papillary Thyroid Adenocarcinoma Based on The Surveillance, Epidemiology, and End Results (SEER) Database. Bian F; Li C; Han D; Xu F; Lyu J Med Sci Monit; 2020 Jul; 26():e924045. PubMed ID: 32710734 [TBL] [Abstract][Full Text] [Related]
14. A competing-risks nomogram and recursive partitioning analysis for cause-specific mortality in patients with esophageal neuroendocrine carcinoma. Zhang G; Wu B; Wang X; Li J Dis Esophagus; 2019 Dec; 32(11):. PubMed ID: 30715226 [TBL] [Abstract][Full Text] [Related]
15. Competing-Risk Nomograms for Predicting the Prognosis of Patients With Infiltrating Lobular Carcinoma of the Breast. Xu F; Li C; Li X; Huang Q; Han D; Wang H; Zheng S; Lyu J Clin Breast Cancer; 2021 Dec; 21(6):e704-e714. PubMed ID: 33846097 [TBL] [Abstract][Full Text] [Related]
16. Nomogram model for predicting cause-specific mortality in patients with stage I small-cell lung cancer: a competing risk analysis. Li J; Zheng Q; Zhao X; Zhao J; An T; Wu M; Wang Y; Zhuo M; Zhong J; Yang X; Jia B; Chen H; Dong Z; Wang J; Chi Y; Zhai X; Wang Z BMC Cancer; 2020 Aug; 20(1):793. PubMed ID: 32838776 [TBL] [Abstract][Full Text] [Related]
17. A Competing Risk Analysis Study of Prognosis in Patients with Esophageal Carcinoma 2006-2015 Using Data from the Surveillance, Epidemiology, and End Results (SEER) Database. Yu Z; Yang J; Gao L; Huang Q; Zi H; Li X Med Sci Monit; 2020 Jan; 26():e918686. PubMed ID: 31966000 [TBL] [Abstract][Full Text] [Related]
18. Cause-specific mortality prediction model for patients with basaloid squamous cell carcinomas of the head and neck: a competing risk analysis. Shen W; Sakamoto N; Yang L J Cancer; 2018; 9(21):4009-4017. PubMed ID: 30410606 [No Abstract] [Full Text] [Related]
19. A competing-risk nomogram to predict cause-specific death in elderly patients with colorectal cancer after surgery (especially for colon cancer). Wang Z; Wang Y; Yang Y; Luo Y; Liu J; Xu Y; Liu X World J Surg Oncol; 2020 Feb; 18(1):30. PubMed ID: 32019568 [TBL] [Abstract][Full Text] [Related]
20. Competing-risk nomogram for predicting survival in patients with advanced (stage III/IV) gallbladder cancer: A SEER population-based study. Wang J; Yang Y; Pan J; Qiu Y; Shen S; Wang W Jpn J Clin Oncol; 2022 Apr; 52(4):353-361. PubMed ID: 35137118 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]