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Items: 1 to 20 of 111

1.

Nomograms for Predicting the Overall and Cancer-Specific Survival of Patients With High-Grade Glioma: A Surveillance, Epidemiology, and End Results Study.

Xia Y, Liao W, Huang S, Liu Z, Huang X, Yang C, Ye C, Jiang Y, Wang J.

Turk Neurosurg. 2019 May 17. doi: 10.5137/1019-5149.JTN.26131-19.2. [Epub ahead of print]

2.

Nomograms for predicting the overall and cancer-specific survival of patients with classical Hodgkin lymphoma: a SEER-based study.

Zhang Y, Zhang J, Zeng H, Zhou XH, Zhou HB.

Oncotarget. 2017 Oct 9;8(54):92978-92988. doi: 10.18632/oncotarget.21722. eCollection 2017 Nov 3.

3.

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 Oct 4;13:106-113. doi: 10.1016/j.jbo.2018.09.012. eCollection 2018 Nov.

4.

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 Apr 15;11:3215-3225. doi: 10.2147/CMAR.S195123. eCollection 2019.

5.

Application of nomograms in the prediction of overall survival and cancer-specific survival in patients with T1 high-grade bladder cancer.

Tang F, He Z, Lu Z, Wu W, Chen Y, Wei G, Liu Y.

Exp Ther Med. 2019 Nov;18(5):3405-3414. doi: 10.3892/etm.2019.7979. Epub 2019 Sep 6.

6.

Development and external validation of prognostic nomograms in hepatocellular carcinoma patients: a population based study.

Xiao Z, Yan Y, Zhou Q, Liu H, Huang P, Zhou Q, Lai C, Zhang J, Wang J, Mao K.

Cancer Manag Res. 2019 Apr 10;11:2691-2708. doi: 10.2147/CMAR.S191287. eCollection 2019.

7.

Prognostic Nomograms for Predicting Overall Survival and Cancer-Specific Survival of Patients with Major Salivary Gland Mucoepidermoid Carcinoma.

Hu JQ, Yu PC, Shi X, Liu WL, Zhang TT, Lei BW, Huang NS, Xu WB, Han LT, Ma B, Liao T, Wei WJ, Wang Y, Lu ZW, Wang YL, Ji QH.

J Cancer. 2019 Jul 22;10(18):4380-4388. doi: 10.7150/jca.27992. eCollection 2019.

8.

Nomograms for predicting overall survival and cancer-specific survival in patients with surgically resected intrahepatic cholangiocarcinoma.

Ma K, Dong B, Wang L, Zhao C, Fu Z, Che C, Liu W, Yang Z, Liang R.

Cancer Manag Res. 2019 Jul 24;11:6907-6929. doi: 10.2147/CMAR.S212149. eCollection 2019.

9.

Nomograms for predicting long-term overall survival and cancer-specific survival in patients with primary urethral carcinoma: a population-based study.

Zi H, Gao L, Yu Z, Wang C, Ren X, Lyu J, Li X.

Int Urol Nephrol. 2019 Oct 14. doi: 10.1007/s11255-019-02314-y. [Epub ahead of print]

PMID:
31612421
10.

Establishment and Verification of Prognostic Nomograms for Patients with Gastrointestinal Stromal Tumors: A SEER-Based Study.

Chen Z, Lin RM, Bai YK, Zhang Y.

Biomed Res Int. 2019 Mar 27;2019:8293261. doi: 10.1155/2019/8293261. eCollection 2019.

11.

Development and validation of a nomogram for predicting survival in patients with gastrointestinal stromal tumours.

Song W, Lv CG, Miao DL, Zhu ZG, Wu Q, Wang YG, Chen L.

Eur J Surg Oncol. 2018 Oct;44(10):1657-1665. doi: 10.1016/j.ejso.2018.07.004. Epub 2018 Jul 20.

PMID:
30082175
12.

Nomogram application to predict overall and cancer-specific survival in osteosarcoma.

Zheng W, Huang Y, Chen H, Wang N, Xiao W, Liang Y, Jiang X, Su W, Wen S.

Cancer Manag Res. 2018 Nov 8;10:5439-5450. doi: 10.2147/CMAR.S177945. eCollection 2018.

13.

Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery.

Sun W, Cheng M, Zhuang S, Chen H, Yang S, Qiu Z.

Medicine (Baltimore). 2019 Jun;98(26):e16206. doi: 10.1097/MD.0000000000016206.

14.

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 1;43(21):E1281-E1289. doi: 10.1097/BRS.0000000000002688.

PMID:
29664813
15.

A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Patients with Initially Diagnosed Metastatic Esophageal Cancer: A SEER-Based Study.

Tang X, Zhou X, Li Y, Tian X, Wang Y, Huang M, Ren L, Zhou L, Ding Z, Zhu J, Xu Y, Peng F, Wang J, Lu Y, Gong Y.

Ann Surg Oncol. 2019 Feb;26(2):321-328. doi: 10.1245/s10434-018-6929-0. Epub 2018 Oct 24.

PMID:
30357578
16.

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 19;16(1):658. doi: 10.1186/s12885-016-2684-4.

17.

Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma.

Li Y, Bian X, Ouyang J, Wei S, He M, Luo Z.

Cancer Manag Res. 2018 Dec 13;10:6949-6959. doi: 10.2147/CMAR.S187169. eCollection 2018.

18.

A novel nomogram based on LODDS to predict the prognosis of epithelial ovarian cancer.

Xu XL, Cheng H, Tang MS, Zhang HL, Wu RY, Yu Y, Li X, Wang XM, Mai J, Yang CL, Jiao L, Li ZL, Zhong ZM, Deng R, Li JD, Zhu XF.

Oncotarget. 2017 Jan 31;8(5):8120-8130. doi: 10.18632/oncotarget.14100.

19.

Prognostic nomogram for adult patients with acute myeloid leukemia: A SEER database analysis.

Chen C, Wang P, Wang C.

Medicine (Baltimore). 2019 May;98(21):e15804. doi: 10.1097/MD.0000000000015804.

20.

Development and validation of prognostic nomograms for medullary thyroid cancer.

Guan YJ, Fang SY, Chen LL, Li ZD.

Onco Targets Ther. 2019 Mar 27;12:2299-2309. doi: 10.2147/OTT.S196205. eCollection 2019.

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