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.
125 related articles for article (PubMed ID: 34311753)
1. Incidence trends and survival prediction of urothelial cancer of the bladder: a population-based study. He H; Liu T; Han D; Li C; Xu F; Lyu J; Gao Y World J Surg Oncol; 2021 Jul; 19(1):221. PubMed ID: 34311753 [TBL] [Abstract][Full Text] [Related]
2. Development and validation of a prognostic nomogram for predicting cancer-specific survival after radical cystectomy in patients with bladder cancer:A population-based study. Yang Z; Bai Y; Liu M; Hu X; Han P Cancer Med; 2020 Dec; 9(24):9303-9314. PubMed ID: 33063464 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Trends of incidence and prognosis of upper tract urothelial carcinoma. Wu J; Chen S; Wu X; Mao W; Wang Y; Xu B; Zheng D; Chen M Bosn J Basic Med Sci; 2021 Oct; 21(5):607-619. PubMed ID: 33357210 [TBL] [Abstract][Full Text] [Related]
5. Prediction of cancer-specific survival after radical cystectomy in pT4a urothelial carcinoma of the bladder: development of a tool for clinical decision-making. Aziz A; Shariat SF; Roghmann F; Brookman-May S; Stief CG; Rink M; Chun FK; Fisch M; Novotny V; Froehner M; Wirth MP; Schnabel MJ; Fritsche HM; Burger M; Pycha A; Brisuda A; Babjuk M; Vallo S; Haferkamp A; Roigas J; Noldus J; Stredele R; Volkmer B; Bastian PJ; Xylinas E; May M BJU Int; 2016 Feb; 117(2):272-9. PubMed ID: 25381844 [TBL] [Abstract][Full Text] [Related]
6. A convenient clinical nomogram for predicting the cancer-specific survival of individual patients with small-intestine adenocarcinoma. Wang N; Yang J; Lyu J; Liu Q; He H; Liu J; Li L; Ren X; Li Z BMC Cancer; 2020 Jun; 20(1):505. PubMed ID: 32487033 [TBL] [Abstract][Full Text] [Related]
7. A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study. Li YJ; Lyu J; Li C; He HR; Wang JF; Wang YL; Fang J; Ji J BMC Womens Health; 2022 May; 22(1):175. PubMed ID: 35568940 [TBL] [Abstract][Full Text] [Related]
8. Development and validation of a nomogram to predict overall survival for patients with metastatic renal cell carcinoma. Zheng W; Zhu W; Yu S; Li K; Ding Y; Wu Q; Tang Q; Zhao Q; Lu C; Guo C BMC Cancer; 2020 Nov; 20(1):1066. PubMed ID: 33148204 [TBL] [Abstract][Full Text] [Related]
9. The Cancer of the Bladder Risk Assessment (COBRA) score for predicting cancer-specific survival after radical cystectomy for urothelial carcinoma of the bladder: External validation in a cohort of Korean patients. Kim HS; Kwak C; Kim HH; Ku JH Urol Oncol; 2019 Jul; 37(7):470-477. PubMed ID: 30935845 [TBL] [Abstract][Full Text] [Related]
10. Incidence and Survival of urothelial carcinoma of the urinary bladder in Norway 1981-2014. Andreassen BK; Aagnes B; Gislefoss R; Andreassen M; Wahlqvist R BMC Cancer; 2016 Oct; 16(1):799. PubMed ID: 27737647 [TBL] [Abstract][Full Text] [Related]
11. Development and validation of a novel prognostic model for long-term overall survival in liposarcoma patients: a population-based study. Cao S; Li J; Yang K; Zhang J; Xu J; Feng C; Li H J Int Med Res; 2020 Dec; 48(12):300060520975882. PubMed ID: 33296604 [TBL] [Abstract][Full Text] [Related]
12. Establishment and Validation of a Nomogram for Tonsil Squamous Cell Carcinoma: A Retrospective Study Based on the SEER Database. Li C; Yang J; Zheng S; Xu F; Han D; Bai L; Wei YL; Wang S; Lyu J Cancer Control; 2020; 27(1):1073274820960481. PubMed ID: 32951460 [TBL] [Abstract][Full Text] [Related]
13. Nomograms to predict individual prognosis of patients with squamous cell carcinoma of the urinary bladder. Zhang G; Li Z; Song D; Fang Z BMC Cancer; 2019 Dec; 19(1):1200. PubMed ID: 31818271 [TBL] [Abstract][Full Text] [Related]
14. Prognostic nomograms and Aggtrmmns scoring system for predicting overall survival and cancer-specific survival of patients with kidney cancer. Zhou Y; Zhang R; Ding Y; Wang Z; Yang C; Tao S; Liang C Cancer Med; 2020 Apr; 9(8):2710-2722. PubMed ID: 32087609 [TBL] [Abstract][Full Text] [Related]
15. Development and validation of a nomogram containing the prognostic determinants of chondrosarcoma based on the Surveillance, Epidemiology, and End Results database. Zhang J; Pan Z; Zhao F; Feng X; Huang Y; Hu C; Li Y; Lyu J Int J Clin Oncol; 2019 Nov; 24(11):1459-1467. PubMed ID: 31243629 [TBL] [Abstract][Full Text] [Related]
16. Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy. Wang CY; Yang J; Zi H; Zheng ZL; Li BH; Wang Y; Ge Z; Jian GX; Lyu J; Li XD; Ren XQ BMC Cancer; 2020 Jan; 20(1):10. PubMed ID: 31906882 [TBL] [Abstract][Full Text] [Related]
17. Nomogram predicting cancer-specific survival in elderly patients with stages I-III colon cancer. Zheng P; Lai C; Yang W; Guo J; Xiao S; Chen Z Scand J Gastroenterol; 2020 Feb; 55(2):202-208. PubMed ID: 32008420 [No Abstract] [Full Text] [Related]
18. A prognostic model for elderly patients with squamous non-small cell lung cancer: a population-based study. Chen S; Gao C; Du Q; Tang L; You H; Dong Y J Transl Med; 2020 Nov; 18(1):436. PubMed ID: 33198777 [TBL] [Abstract][Full Text] [Related]
19. Construction of a Nomogram for Predicting Survival in Elderly Patients With Lung Adenocarcinoma: A Retrospective Cohort Study. You H; Teng M; Gao CX; Yang B; Hu S; Wang T; Dong Y; Chen S Front Med (Lausanne); 2021; 8():680679. PubMed ID: 34336886 [TBL] [Abstract][Full Text] [Related]
20. Nomogram prediction of overall survival based on log odds of positive lymph nodes for patients with penile squamous cell carcinoma. Zheng W; Li K; Zhu W; Ding Y; Wu Q; Tang Q; Lu C; Zhao Q; Yu S; Guo C Cancer Med; 2020 Aug; 9(15):5425-5435. PubMed ID: 32519819 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]