161 related articles for article (PubMed ID: 32508027)
1. Nomograms for predicting specific distant metastatic sites and overall survival of colorectal cancer patients: A large population-based real-world study.
Mo S; Cai X; Zhou Z; Li Y; Hu X; Ma X; Zhang L; Cai S; Peng J
Clin Transl Med; 2020 Jan; 10(1):169-181. PubMed ID: 32508027
[TBL] [Abstract][Full Text] [Related]
2. Development and Validation of Novel Nomograms for Predicting Specific Distant Metastatic Sites and Overall Survival of Patients With Soft Tissue Sarcoma.
Tu Q; Hu C; Zhang H; Kong M; Peng C; Song M; Zhao C; Wang Y; Ma X
Technol Cancer Res Treat; 2021; 20():1533033821997828. PubMed ID: 33706618
[TBL] [Abstract][Full Text] [Related]
3. Prognostic nomograms for predicting cause-specific survival and overall survival of stage I-III colon cancer patients: a large population-based study.
Zhou Z; Mo S; Dai W; Xiang W; Han L; Li Q; Wang R; Liu L; Zhang L; Cai S; Cai G
Cancer Cell Int; 2019; 19():355. PubMed ID: 31889907
[TBL] [Abstract][Full Text] [Related]
4. Nomograms for Predicting Specific Distant Metastatic Sites and Overall Survival of Breast Invasive Ductal Carcinoma Patients After Surgery: A Large Population-Based Study.
Feng Y; Zhang Y; Xiang Y; Guo K; Jin H; Ruan S; Guan Z
Front Surg; 2022; 9():779220. PubMed ID: 35402478
[TBL] [Abstract][Full Text] [Related]
5. Nomograms for predicting overall survival in colorectal cancer patients with metastasis to the liver, lung, bone, and brain.
Wang H; Shan X; Zhang M; Qian K; Shen Z; Zhou W
Cancer Causes Control; 2023 Dec; 34(12):1059-1072. PubMed ID: 37486401
[TBL] [Abstract][Full Text] [Related]
6. Prognostic nomograms for predicting overall survival and cause-specific survival of signet ring cell carcinoma in colorectal cancer patients.
Kou FR; Zhang YZ; Xu WR
World J Clin Cases; 2021 Apr; 9(11):2503-2518. PubMed ID: 33889615
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer.
Fu J; Du F; Tian T; Huang H; Zhang L; Li D; Liu Y; Zhang D; Gao L; Zheng T; Liu Y; Zhao Y
BMC Cancer; 2023 Jul; 23(1):620. PubMed ID: 37400788
[TBL] [Abstract][Full Text] [Related]
8. Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis.
Wu J; Lu L; Chen H; Lin Y; Zhang H; Chen E; Lin W; Li J; Chen X
Int J Colorectal Dis; 2021 Sep; 36(9):1981-1993. PubMed ID: 34322745
[TBL] [Abstract][Full Text] [Related]
9. A nomogram model for predicting distant metastasis of newly diagnosed colorectal cancer based on clinical features.
He JH; Cao C; Ding Y; Yi Y; Lv YQ; Wang C; Chang Y
Front Oncol; 2023; 13():1186298. PubMed ID: 37397373
[TBL] [Abstract][Full Text] [Related]
10. Pattern of distant metastases and predictive nomograms in colorectal mucinous adenocarcinoma: a SEER analysis.
Lian L; Xu XF; Shen XM; Huang TA; Li XM; Han SG; Zhou C; Xia YY
J Gastrointest Oncol; 2021 Dec; 12(6):2906-2918. PubMed ID: 35070417
[TBL] [Abstract][Full Text] [Related]
11. Prognostic nomograms integrating preoperative serum lipid derivative and systemic inflammatory marker of patients with non-metastatic colorectal cancer undergoing curative resection.
Huang D; Zheng S; Huang F; Chen J; Zhang Y; Chen Y; Li B
Front Oncol; 2023; 13():1100820. PubMed ID: 36969019
[TBL] [Abstract][Full Text] [Related]
12. A Nomogram for Predicting Multiple Metastases in Metastatic Colorectal Cancer Patients: A Large Population-Based Study.
Ge Y; Xiang R; Ren J; Song W; Lu W; Fu T
Front Oncol; 2021; 11():633995. PubMed ID: 34055605
[TBL] [Abstract][Full Text] [Related]
13. Nomograms predicting Overall Survival and Cancer-specific Survival for Synchronous Colorectal Liver-limited Metastasis.
Li Y; Liu W; Zhao L; Güngör C; Xu Y; Song X; Wang D; Zhou Z; Zhou Y; Li C; Pei Q; Tan F; Pei H
J Cancer; 2020; 11(21):6213-6225. PubMed ID: 33033504
[No Abstract] [Full Text] [Related]
14. Development and validation of nomograms for predicting survival in patients with non-metastatic colorectal cancer.
Jiang H; Tang E; Xu D; Chen Y; Zhang Y; Tang M; Xiao Y; Zhang Z; Deng X; Li H; Lin M
Oncotarget; 2017 May; 8(18):29857-29864. PubMed ID: 28415740
[TBL] [Abstract][Full Text] [Related]
15. Nomograms to predict survival after colorectal cancer resection without preoperative therapy.
Zhang ZY; Luo QF; Yin XW; Dai ZL; Basnet S; Ge HY
BMC Cancer; 2016 Aug; 16(1):658. PubMed ID: 27553083
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of nomograms for prediction of overall survival and cancer-specific survival of patients with Stage IV colorectal cancer.
Zhang J; Gong Z; Gong Y; Guo W
Jpn J Clin Oncol; 2019 May; 49(5):438-446. PubMed ID: 30924498
[TBL] [Abstract][Full Text] [Related]
17. Nomogram based on homogeneous and heterogeneous associated factors for predicting distant metastases in patients with colorectal cancer.
Luo T; Wang Y; Shan X; Bai Y; Huang C; Li G; Wang H
World J Surg Oncol; 2021 Jan; 19(1):30. PubMed ID: 33504354
[TBL] [Abstract][Full Text] [Related]
18. Establishment and validation of a novel nomogram incorporating clinicopathological parameters into the TNM staging system to predict prognosis for stage II colorectal cancer.
Mo S; Zhou Z; Li Y; Hu X; Ma X; Zhang L; Cai S; Peng J
Cancer Cell Int; 2020; 20():285. PubMed ID: 32655317
[TBL] [Abstract][Full Text] [Related]
19. Risk factors and predictors of lymph nodes metastasis and distant metastasis in newly diagnosed T1 colorectal cancer.
Guo K; Feng Y; Yuan L; Wasan HS; Sun L; Shen M; Ruan S
Cancer Med; 2020 Jul; 9(14):5095-5113. PubMed ID: 32469151
[TBL] [Abstract][Full Text] [Related]
20. Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: a retrospective analysis.
Callegaro D; Miceli R; Bonvalot S; Ferguson P; Strauss DC; Levy A; Griffin A; Hayes AJ; Stacchiotti S; Pechoux CL; Smith MJ; Fiore M; Dei Tos AP; Smith HG; Mariani L; Wunder JS; Pollock RE; Casali PG; Gronchi A
Lancet Oncol; 2016 May; 17(5):671-80. PubMed ID: 27068860
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]