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]
