250 related articles for article (PubMed ID: 32089629)
1. Nomograms predicting long-term survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas: A population-based study.
Wu JY; Wang YF; Ma H; Li SS; Miao HL
World J Gastroenterol; 2020 Feb; 26(5):535-549. PubMed ID: 32089629
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a nomogram for predicting long-term overall survival in nasopharyngeal carcinoma: A population-based study.
Wu J; Zhou Q; Pan Z; Wang Y; Hu L; Chen G; Wang S; Lyu J
Medicine (Baltimore); 2020 Jan; 99(4):e18974. PubMed ID: 31977914
[TBL] [Abstract][Full Text] [Related]
3. Analyzing and predicting the LNM rate and prognosis of patients with intraductal papillary mucinous neoplasm of the pancreas.
Tang CT; Liu BX; Chen Y; Zeng C
Cancer Med; 2021 Mar; 10(6):1925-1935. PubMed ID: 33641255
[TBL] [Abstract][Full Text] [Related]
4. Development and Validation of a Multi-institutional Preoperative Nomogram for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasms (IPMNs) of the Pancreas: A Report from The Pancreatic Surgery Consortium.
Attiyeh MA; Fernández-Del Castillo C; Al Efishat M; Eaton AA; Gönen M; Batts R; Pergolini I; Rezaee N; Lillemoe KD; Ferrone CR; Mino-Kenudson M; Weiss MJ; Cameron JL; Hruban RH; D'Angelica MI; DeMatteo RP; Kingham TP; Jarnagin WR; Wolfgang CL; Allen PJ
Ann Surg; 2018 Jan; 267(1):157-163. PubMed ID: 28079542
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A convenient clinical nomogram for predicting the cancer-specific survival of individual patients with small-intestine adenocarcinoma.
Wang N; Yang J; Lyu J; Liu Q; He H; Liu J; Li L; Ren X; Li Z
BMC Cancer; 2020 Jun; 20(1):505. PubMed ID: 32487033
[TBL] [Abstract][Full Text] [Related]
7. A prognostic model of patients with ovarian mucinous adenocarcinoma: a population-based analysis.
Yang L; Yu J; Zhang S; Shan Y; Li Y; Xu L; Zhang J; Zhang J
J Ovarian Res; 2022 Feb; 15(1):26. PubMed ID: 35168642
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of novel nomograms for predicting the survival of patients after surgical resection of pancreatic ductal adenocarcinoma.
Li G; Chen JZ; Chen S; Lin SZ; Pan W; Meng ZW; Cai XR; Chen YL
Cancer Med; 2020 May; 9(10):3353-3370. PubMed ID: 32181599
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A novel staging system and clinical predictive nomogram for more accurate staging and prognosis of malignant pancreatic intraductal papillary mucinous neoplasms: a population-based study.
Zhang H; Gao C; Chen J; Wu S; Bai J; Yin T
J Transl Med; 2021 Dec; 19(1):525. PubMed ID: 34952605
[TBL] [Abstract][Full Text] [Related]
11. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
[TBL] [Abstract][Full Text] [Related]
12. Nomograms for predicting cancer-specific and overall survival in patients with invasive extramammary Paget's disease.
Gao X; Zhong X; Chen HN; Singh D; Yang L; Huang LB; Wang C; Zhou ZG
Future Oncol; 2021 Jul; 17(21):2785-2801. PubMed ID: 33988031
[TBL] [Abstract][Full Text] [Related]
13. A new nomogram and risk classification system for predicting survival in small cell lung cancer patients diagnosed with brain metastasis: a large population-based study.
Shan Q; Shi J; Wang X; Guo J; Han X; Wang Z; Wang H
BMC Cancer; 2021 May; 21(1):640. PubMed ID: 34051733
[TBL] [Abstract][Full Text] [Related]
14. Nomogram for Predicting the Overall Survival of Patients With Breast Cancer With Pathologic Nodal Status N3.
Wang J; Chen L; Nie Y; Wu W; Yao Y
Clin Breast Cancer; 2020 Dec; 20(6):e778-e785. PubMed ID: 32636150
[TBL] [Abstract][Full Text] [Related]
15. Proposed Nomogram Predicting the Individual Risk of Malignancy in the Patients With Branch Duct Type Intraductal Papillary Mucinous Neoplasms of the Pancreas.
Jang JY; Park T; Lee S; Kim Y; Lee SY; Kim SW; Kim SC; Song KB; Yamamoto M; Hatori T; Hirono S; Satoi S; Fujii T; Hirano S; Hashimoto Y; Shimizu Y; Choi DW; Choi SH; Heo JS; Motoi F; Matsumoto I; Lee WJ; Kang CM; Han HS; Yoon YS; Sho M; Nagano H; Honda G; Kim SG; Yu HC; Chung JC; Nagakawa Y; Seo HI; Yamaue H
Ann Surg; 2017 Dec; 266(6):1062-1068. PubMed ID: 27607098
[TBL] [Abstract][Full Text] [Related]
16. Intraductal Papillary Mucinous Neoplasms of The Pancreas: A Nationwide Registry-Based Study.
Aronsson L; Andersson B; Andersson R; Tingstedt B; Bratlie SO; Ansari D
Scand J Surg; 2018 Dec; 107(4):302-307. PubMed ID: 29637834
[TBL] [Abstract][Full Text] [Related]
17. Develop Nomogram to Predict Malignancy of Intraductal Papillary Mucinous Neoplasm.
Kim Y; Park T
Methods Mol Biol; 2019; 1882():23-32. PubMed ID: 30378041
[TBL] [Abstract][Full Text] [Related]
18. Surgical outcome of intraductal papillary mucinous neoplasms of the pancreas.
Nakagohri T; Kinoshita T; Konishi M; Takahashi S; Gotohda N
Ann Surg Oncol; 2007 Nov; 14(11):3174-80. PubMed ID: 17694416
[TBL] [Abstract][Full Text] [Related]
19. AJCC 7th edition staging classification is more applicable than AJCC 8th edition staging classification for invasive IPMN.
Fan Z; Cheng H; Jin K; Gong Y; Huang Q; Xu J; Ni Q; Yu X; Liu C; Luo G
World J Surg Oncol; 2019 Aug; 17(1):137. PubMed ID: 31387646
[TBL] [Abstract][Full Text] [Related]
20. A nomogram predicting overall survival in patients with non-metastatic pancreatic head adenocarcinoma after surgery: a population-based study.
Zou W; Wang Z; Wang F; Zhang G; Liu R
BMC Cancer; 2021 May; 21(1):524. PubMed ID: 33964898
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
