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.
152 related articles for article (PubMed ID: 30977539)
1. Nomograms Predict Cancer-Specific and Overall Survival of Patients With Primary Limb Leiomyosarcoma. Wang W; Hong J; Meng J; Wu H; Shi M; Yan S; Huang Y J Orthop Res; 2019 Jul; 37(7):1649-1657. PubMed ID: 30977539 [TBL] [Abstract][Full Text] [Related]
2. Development and Validation of Nomograms Predicting Overall and Cancer-Specific Survival of Spinal Chondrosarcoma Patients. Song K; Song J; Shi X; Wang H; Ma X; Xia X; Liang X; Lin K; Jiang J Spine (Phila Pa 1976); 2018 Nov; 43(21):E1281-E1289. PubMed ID: 29664813 [TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a Prognostic Nomogram for Extremity Soft Tissue Leiomyosarcoma. Xue M; Chen G; Dai J; Hu J Front Oncol; 2019; 9():346. PubMed ID: 31119101 [No Abstract] [Full Text] [Related]
4. Nomograms and risk classification systems predicting overall and cancer-specific survival in primary malignant cardiac tumor. Guan T; Li Y; Qiu Z; Zhang Y; Lin W; Lai Y; Wang K; Shen Y; Du L; Liu C J Card Surg; 2019 Dec; 34(12):1540-1549. PubMed ID: 31794125 [TBL] [Abstract][Full Text] [Related]
5. Construction and Validation of Nomograms for Predicting the Prognosis of Uterine Leiomyosarcoma: A Population-Based Study. Meng Y; Yang Y; Zhang Y; Li X Med Sci Monit; 2020 Apr; 26():e922739. PubMed ID: 32270788 [TBL] [Abstract][Full Text] [Related]
6. Web-based nomograms for predicting overall survival and cancer-specific survival in retroperitoneal leiomyosarcoma: a population-based analysis. Feng Z; Li Y J Cancer Res Clin Oncol; 2023 Oct; 149(13):11735-11748. PubMed ID: 37405479 [TBL] [Abstract][Full Text] [Related]
7. A Clinical Model of Bone Angiosarcoma Patients: A Population-based Analysis of Epidemiology, Prognosis, and Treatment. Wang B; Chen LJ; Wang XY Orthop Surg; 2020 Dec; 12(6):1652-1662. PubMed ID: 32914587 [TBL] [Abstract][Full Text] [Related]
8. Construction, validation and, visualization of a web-based nomogram for predicting the overall survival and cancer-specific survival of leiomyosarcoma patients with lung metastasis. Li Z; Wei J; Gan X; Song M; Zhang Y; Cao H; Jin Y; Yang J J Thorac Dis; 2021 May; 13(5):3076-3092. PubMed ID: 34164199 [TBL] [Abstract][Full Text] [Related]
9. Can a Nomogram Help to Predict the Overall and Cancer-specific Survival of Patients With Chondrosarcoma? Song K; Shi X; Wang H; Zou F; Lu F; Ma X; Xia X; Jiang J Clin Orthop Relat Res; 2018 May; 476(5):987-996. PubMed ID: 29470233 [TBL] [Abstract][Full Text] [Related]
10. A novel nomogram and recursive partitioning analysis for predicting cancer-specific survival of patients with subcutaneous leiomyosarcoma. Ji Q; Hu H; Li S; Tang J Sci Rep; 2024 Feb; 14(1):2861. PubMed ID: 38311615 [TBL] [Abstract][Full Text] [Related]
11. Novel nomograms individually predict the survival of patients with soft tissue sarcomas after surgery. Zhang SL; Wang ZM; Wang WR; Wang X; Zhou YH Cancer Manag Res; 2019; 11():3215-3225. PubMed ID: 31114361 [No Abstract] [Full Text] [Related]
12. Nomograms for predicting the overall and cause-specific survival in patients with malignant peripheral nerve sheath tumor: a population-based study. Yan P; Huang R; Hu P; Liu F; Zhu X; Hu P; Yin H; Zhang J; Meng T; Huang Z J Neurooncol; 2019 Jul; 143(3):495-503. PubMed ID: 31089923 [TBL] [Abstract][Full Text] [Related]
13. Prognostic nomograms for predicting overall and cancer-specific survival of high-grade osteosarcoma patients. Song K; Song J; Chen F; Lin K; Ma X; Jiang J J Bone Oncol; 2018 Nov; 13():106-113. PubMed ID: 30591864 [TBL] [Abstract][Full Text] [Related]
14. Nomograms for predicting overall survival and cancer-specific survival of chondroblastic osteosarcoma patients. Gao Z; Zhou S; Song H; Wang Y; He X J Surg Oncol; 2020 Dec; 122(8):1676-1684. PubMed ID: 32862456 [TBL] [Abstract][Full Text] [Related]
15. Prognostic nomograms based on log odds of positive lymph nodes for patients with renal cell carcinoma: A retrospective cohort study. Zhou W; Huang C; Yuan N Int J Surg; 2018 Dec; 60():28-40. PubMed ID: 30389534 [TBL] [Abstract][Full Text] [Related]
16. Establishment and validation of prognostic nomograms to predict overall survival and cancer-specific survival for patients with osteosarcoma. Yang QK; Lai QY; Wang Y; Wang Y; Yao ZX; Zhang XJ Neoplasma; 2021 Mar; 68(2):434-446. PubMed ID: 33118831 [TBL] [Abstract][Full Text] [Related]
17. Prognosticators and Prognostic Nomograms for Leiomyosarcoma Patients With Metastasis. Zou Y; Yang Q; Wu Y; Ai H; Yao Z; Zhang C; Luo F Front Oncol; 2022; 12():840962. PubMed ID: 35372053 [TBL] [Abstract][Full Text] [Related]
18. Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study. Li Y; Ju J; Liu X; Gao T; Wang Z; Ni Q; Ma C; Zhao Z; Ren Y; Sun M Oncotarget; 2017 Apr; 8(15):24469-24482. PubMed ID: 28160551 [TBL] [Abstract][Full Text] [Related]
19. Development and validation of prognostic nomograms for patients with metastatic prostate cancer. Jiang WD; Yuan PC Int Urol Nephrol; 2019 Oct; 51(10):1743-1753. PubMed ID: 31289983 [TBL] [Abstract][Full Text] [Related]
20. Prognostic nomograms to predict overall survival and cancer-specific survival in patients with pelvic chondrosarcoma. Chen L; Long C; Liu J; Duan X; Xiang Z Cancer Med; 2019 Sep; 8(12):5438-5449. PubMed ID: 31353800 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]