BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

250 related articles for article (PubMed ID: 31102397)

  • 1. 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]  

  • 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. 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]  

  • 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. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Development of a prognostic nomogram for metastatic pancreatic ductal adenocarcinoma integrating marital status.
    Ma X; Guo J; Zhang C; Bai J
    Sci Rep; 2022 May; 12(1):7124. PubMed ID: 35504988
    [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. Prognostic factors in patients with gastric adenocarcinoma using competing-risk analysis: a study of cases in the SEER database.
    Zhang X; Yang J; Huang Q; Lyu J
    Scand J Gastroenterol; 2019 Aug; 54(8):1015-1021. PubMed ID: 31382800
    [No Abstract]   [Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. The first competing risk survival nomogram in patients with papillary renal cell carcinoma.
    Su X; Hou NN; Yang LJ; Li PX; Yang XJ; Hou GD; Gao XL; Ma SJ; Guo F; Zhang R; Zhang WH; Qin WJ; Wang FL
    Sci Rep; 2021 Jun; 11(1):11835. PubMed ID: 34088935
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 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. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 13.