158 related articles for article (PubMed ID: 34159295)
1. 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]
2. A prognostic nomogram for the cancer-specific survival of patients with upper-tract urothelial carcinoma based on the Surveillance, Epidemiology, and End Results Database.
Li C; Yang J; Xu F; Han D; Zheng S; Kaaya RE; Wang S; Lyu J
BMC Cancer; 2020 Jun; 20(1):534. PubMed ID: 32513124
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and validation of a nomogram model for cancer-specific survival of patients with poorly differentiated thyroid carcinoma: A SEER database analysis.
Jin S; Liu H; Yang J; Zhou J; Peng D; Liu X; Zhang H; Zeng Z; Ye YN
Front Endocrinol (Lausanne); 2022; 13():882279. PubMed ID: 36176465
[TBL] [Abstract][Full Text] [Related]
5. A novel model to predict cancer-specific survival in patients with early-stage uterine papillary serous carcinoma (UPSC).
Chen L; Liu X; Li M; Wang S; Zhou H; Liu L; Cheng X
Cancer Med; 2020 Feb; 9(3):988-998. PubMed ID: 31846222
[TBL] [Abstract][Full Text] [Related]
6. Nomogram predicting overall survival of rectal squamous cell carcinomas patients based on the SEER database: A population-based STROBE cohort study.
Diao JD; Wu CJ; Cui HX; Bu MW; Yue D; Wang X; Liu YL; Yang YJ
Medicine (Baltimore); 2019 Nov; 98(46):e17916. PubMed ID: 31725640
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Competing-risks nomogram for predicting cancer-specific death in upper tract urothelial carcinoma: a population-based analysis.
Li C; Han D; Huang Q; Xu F; Zheng S; Li X; Zhao F; Feng X; Lyu J
BMJ Open; 2021 Jul; 11(7):e048243. PubMed ID: 34281927
[TBL] [Abstract][Full Text] [Related]
9. Nomograms for predicting long-term overall survival and cancer-specific survival in patients with primary urethral carcinoma: a population-based study.
Zi H; Gao L; Yu Z; Wang C; Ren X; Lyu J; Li X
Int Urol Nephrol; 2020 Feb; 52(2):287-300. PubMed ID: 31612421
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. 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]
14. A Competing Risk Nomogram for Prediction of Prognosis in Patients With Primary Squamous Cell Thyroid Carcinoma.
Tian Y; He L; Zhang B; Deng L; Wang J
Technol Cancer Res Treat; 2024; 23():15330338241254059. PubMed ID: 38725285
[No Abstract] [Full Text] [Related]
15. 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]
16. 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]
17. Development and validation of survival nomograms for patients with differentiated thyroid cancer with distant metastases: a SEER Program-based study.
Ma Q; Chen Z; Fang Y; Wei X; Wang N; Zhou X; Li S; Ying C
J Endocrinol Invest; 2024 Jan; 47(1):115-129. PubMed ID: 37294407
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Developing and validating a novel nomogram used a competing-risks model for predicting the prognosis of primary fallopian tube carcinoma: a retrospective study based on the SEER database.
Li C; Li J; Huang Q; Feng X; Zhao F; Xu F; Han D; Lyu J
Ann Transl Med; 2021 Mar; 9(5):378. PubMed ID: 33842599
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
