261 related articles for article (PubMed ID: 35796258)
1. A novel clinical tool to predict cancer-specific survival in patients with primary pelvic sarcomas: A large population-based retrospective cohort study.
Huang C; Su Q; Ding Z; Zeng W; Zhou Z
Cancer Med; 2023 Jan; 12(2):1279-1292. PubMed ID: 35796258
[TBL] [Abstract][Full Text] [Related]
2. The clinical characteristics, novel predictive tool, and risk classification system for primary Ewing sarcoma patients that underwent chemotherapy: A large population-based retrospective cohort study.
Huang C; Yu QP; Ding Z; Zhou Z; Shi X
Cancer Med; 2023 Mar; 12(5):6244-6259. PubMed ID: 36271609
[TBL] [Abstract][Full Text] [Related]
3. A Novel Clinical Tool to Predict Cancer-specific Survival in Postoperative Patients With Primary Spinal and Pelvic Sarcomas: A Large Population-Based Retrospective Cohort Study.
Huang C; Huang Z; Ding Z; Zhou Z
Global Spine J; 2024 Apr; 14(3):776-788. PubMed ID: 36003041
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a prognostic nomogram for adult patients with renal sarcoma: A retrospective study based on the SEER database.
Zhu Y; Mao W; Zhang G; Sun S; Tao S; Jiang T; Wang Q; Meng Y; Wu J; Chen M
Front Public Health; 2022; 10():942608. PubMed ID: 36187680
[TBL] [Abstract][Full Text] [Related]
5. Construction of web
Zhan G; Cao P; Peng H
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 Oct; 48(10):1546-1560. PubMed ID: 38432884
[TBL] [Abstract][Full Text] [Related]
6. Establishment and validation of nomogram models for overall survival and cancer-specific survival in spindle cell sarcoma patients.
Qi W; Ren Y; Wang H; Wan Y; Wang D; Yao J; Pan H
Sci Rep; 2023 Dec; 13(1):23018. PubMed ID: 38155261
[TBL] [Abstract][Full Text] [Related]
7. Construction of novel predictive tools for post-surgical cancer-specific survival probability in patients with primary chondrosarcoma and external validation in Chinese cohorts: a large population-based retrospective study.
Jiang L; Gong Y; Jiang J; Zhao D
J Cancer Res Clin Oncol; 2023 Nov; 149(14):13027-13042. PubMed ID: 37466790
[TBL] [Abstract][Full Text] [Related]
8. Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study.
Shao Z; Li J; Liu Z; Bi S
Cancer Med; 2023 Apr; 12(8):9589-9603. PubMed ID: 36992547
[TBL] [Abstract][Full Text] [Related]
9. Nomograms predicting the overall survival and cancer-specific survival of patients with stage IIIC1 cervical cancer.
Feng Y; Wang Y; Xie Y; Wu S; Li Y; Li M
BMC Cancer; 2021 Apr; 21(1):450. PubMed ID: 33892663
[TBL] [Abstract][Full Text] [Related]
10. A SEER-based nomogram accurately predicts prognosis in Ewing's sarcoma.
Zhan H; Mo F; Zhu M; Xu X; Zhang B; Liu H; Dai M
Sci Rep; 2021 Nov; 11(1):22723. PubMed ID: 34811459
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Risk stratification system and web-based nomogram constructed for predicting the overall survival of primary osteosarcoma patients after surgical resection.
Gao B; Wang MD; Li Y; Huang F
Front Public Health; 2022; 10():949500. PubMed ID: 35991065
[TBL] [Abstract][Full Text] [Related]
14. A web-based prognostic nomogram for the cancer specific survival of elderly patients with T1-T3N0M0 renal pelvic transitional cell carcinoma based on the surveillance, epidemiology, and end results database.
Wang J; Tang J; Liu X; He D
BMC Urol; 2022 May; 22(1):78. PubMed ID: 35610606
[TBL] [Abstract][Full Text] [Related]
15. A Nomogram and a Risk Classification System Predicting the Cancer-Specific Survival of Patients With Initially-Diagnosed Osseous Spinal and Pelvic Tumors.
Zhou Q; Li AB; Lin ZQ; Zhang HZ
Spine (Phila Pa 1976); 2020 Jun; 45(12):E713-E720. PubMed ID: 32039945
[TBL] [Abstract][Full Text] [Related]
16. A novel nomogram model to predict the overall survival of patients with retroperitoneal leiomyosarcoma: a large cohort retrospective study.
Huang C; Yu QP; Li H; Ding Z; Zhou Z; Shi X
Sci Rep; 2022 Jul; 12(1):11851. PubMed ID: 35831450
[TBL] [Abstract][Full Text] [Related]
17. A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children: A SEER Database Analysis.
Wang J; Zhanghuang C; Tan X; Mi T; Liu J; Jin L; Li M; Zhang Z; He D
Front Public Health; 2022; 10():837506. PubMed ID: 35178367
[TBL] [Abstract][Full Text] [Related]
18. Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases.
Gao B; Ou XL; Li MF; Wang MD; Huang F
Front Endocrinol (Lausanne); 2022; 13():1013338. PubMed ID: 36440188
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a risk stratification nomogram for predicting prognosis in bone metastatic breast cancer: A population-based study.
Hou N; Yi J; Wang Z; Yang L; Wu Y; Huang M; Hou G; Ling R
Medicine (Baltimore); 2021 Feb; 100(6):e24751. PubMed ID: 33578627
[TBL] [Abstract][Full Text] [Related]
20. Prognostic nomogram for colorectal cancer patients with multi-organ metastases: a Surveillance, Epidemiology, and End Results program database analysis.
Tang X; Hu N; Huang S; Jiang J; Rao H; Yang X; Yuan Y; Zhang Y; Xia G
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12131-12143. PubMed ID: 37428251
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
