248 related articles for article (PubMed ID: 34013802)
21. 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]
22. Prognostic factors in patients with gallbladder adenocarcinoma identified using competing-risks analysis: A study of cases in the SEER database.
Han D; Yang J; Xu F; Huang Q; Bai L; Wei YL; Kaaya RE; Wang S; Lyu J
Medicine (Baltimore); 2020 Jul; 99(31):e21322. PubMed ID: 32756116
[TBL] [Abstract][Full Text] [Related]
23. Nomograms for Differentiated Thyroid Carcinoma Patients Based on the Eighth AJCC Staging and Competing Risks Model.
Li C; Xu F; Huang Q; Han D; Zheng S; Wu W; Zhao F; Feng X; Lyu J
JNCI Cancer Spectr; 2021 Jun; 5(3):. PubMed ID: 34159295
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
26. Identifying the Prognosis Factors and Predicting the Survival Probability in Patients with Non-Metastatic Chondrosarcoma from the SEER Database.
Huang R; Sun Z; Zheng H; Yan P; Hu P; Yin H; Zhang J; Meng T; Huang Z
Orthop Surg; 2019 Oct; 11(5):801-810. PubMed ID: 31663279
[TBL] [Abstract][Full Text] [Related]
27. Research on Effectiveness of Prior Cancer on Survival Outcomes for Patients with Nonmetastatic Triple-Negative Breast Cancer: A Competing Risk Analysis and Propensity Score Matching Analysis of the SEER Database.
Chen H; Yan L; Pu S; Zhu L; Zhang H; Zhou C
J Oncol; 2021; 2021():9988624. PubMed ID: 34580591
[TBL] [Abstract][Full Text] [Related]
28. Prediction of death probability in adenocarcinoma of the transverse colon: competing-risk nomograms based on 21,469 patients.
Su H; Wang S; Xie S; Huang L; Pan Y; Lyu J
J Cancer Res Clin Oncol; 2023 Sep; 149(12):10435-10452. PubMed ID: 37278827
[TBL] [Abstract][Full Text] [Related]
29. Evaluating overall survival and competing risks of survival in patients with early-stage breast cancer using a comprehensive nomogram.
Xu YB; Liu H; Cao QH; Ji JL; Dong RR; Xu D
Cancer Med; 2020 Jun; 9(12):4095-4106. PubMed ID: 32314546
[TBL] [Abstract][Full Text] [Related]
30. Comparison of survival in non-metastatic inflammatory and other T4 breast cancers: a SEER population-based analysis.
Jiao D; Zhang J; Zhu J; Guo X; Yang Y; Xiao H; Liu Z
BMC Cancer; 2021 Feb; 21(1):138. PubMed ID: 33549037
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Conditional Cancer-Specific Survival for Inflammatory Breast Cancer: Analysis of SEER, 2010 to 2016.
Zhu S; Zheng Z; Hu W; Lei C
Clin Breast Cancer; 2023 Aug; 23(6):628-639.e2. PubMed ID: 37286434
[TBL] [Abstract][Full Text] [Related]
33. Real-world impact of non-breast cancer-specific death on overall survival in resectable breast cancer.
Fu J; Wu L; Jiang M; Li D; Jiang T; Fu W; Wang L; Du J
Cancer; 2017 Jul; 123(13):2432-2443. PubMed ID: 28267199
[TBL] [Abstract][Full Text] [Related]
34. Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer.
Li Y; Ma L
BMC Cancer; 2021 Aug; 21(1):965. PubMed ID: 34454451
[TBL] [Abstract][Full Text] [Related]
35. Causes of death and effect of non-cancer-specific death on rates of overall survival in adult classic Hodgkin lymphoma: a populated-based competing risk analysis.
Gao J; Chen Y; Wu P; Wang F; Tao H; Shen Q; Wang S; Gong S; Zhang X; Zhou Z; Song X; Jia Y
BMC Cancer; 2021 Aug; 21(1):955. PubMed ID: 34433456
[TBL] [Abstract][Full Text] [Related]
36. Dynamic nomograms combining N classification with ratio-based nodal classifications to predict long-term survival for patients with lung adenocarcinoma after surgery: a SEER population-based study.
Wang S; Yu Y; Xu W; Lv X; Zhang Y; Liu M
BMC Cancer; 2021 Aug; 21(1):653. PubMed ID: 34344326
[TBL] [Abstract][Full Text] [Related]
37. Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma: a competing risk nomogram analysis.
Jiang AG; Cai X
BMC Cancer; 2022 Jan; 22(1):4. PubMed ID: 34980030
[TBL] [Abstract][Full Text] [Related]
38. Nomograms to estimate long-term overall survival and breast cancer-specific survival of patients with luminal breast cancer.
Sun W; Jiang YZ; Liu YR; Ma D; Shao ZM
Oncotarget; 2016 Apr; 7(15):20496-506. PubMed ID: 26967253
[TBL] [Abstract][Full Text] [Related]
39. Development of CNS metastases and survival in patients with inflammatory breast cancer.
Uemura MI; French JT; Hess KR; Liu D; Raghav K; Hortobagyi GN; Arun BK; Valero V; Ueno NT; Alvarez RH; Woodward WA; Debeb BG; Moulder SL; Lim B; Tripathy D; Ibrahim NK
Cancer; 2018 Jun; 124(11):2299-2305. PubMed ID: 29579338
[TBL] [Abstract][Full Text] [Related]
40. Competing-risks analysis for evaluating the prognosis of patients with microinvasive cutaneous squamous cell carcinoma based on the SEER database.
Zheng S; Xie S; Yu H; Duan X; He Y; Ho C; Wan Y; Hang T; Chen W; Lyu J; Deng L
BMC Med Res Methodol; 2023 Dec; 23(1):286. PubMed ID: 38062392
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
