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For: Dasari BV, Roberts KJ, Hodson J, Stevens L, Smith AM, Hubscher SG, Isaac J, Muiesan P, Sutcliffe RP, Marudanayagam R, Mirza DF. A model to predict survival following pancreaticoduodenectomy for malignancy based on tumour site, stage and lymph node ratio. HPB (Oxford) 2016;18:332-8. [PMID: 27037202 DOI: 10.1016/j.hpb.2015.11.008] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Walczak S, Velanovich V. An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival. J Gastrointest Surg. 2017;21:1606-1612. [PMID: 28776157 DOI: 10.1007/s11605-017-3518-7] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 3.2] [Reference Citation Analysis]
2 He C, Sun S, Zhang Y, Lin X, Li S. Score for the Overall Survival Probability of Patients With Pancreatic Adenocarcinoma of the Body and Tail After Surgery: A Novel Nomogram-Based Risk Assessment. Front Oncol 2020;10:590. [PMID: 32426278 DOI: 10.3389/fonc.2020.00590] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
3 Moekotte AL, van Roessel S, Malleo G, Rajak R, Ecker BL, Fontana M, Han HS, Rabie M, Roberts KJ, Khalil K, White SA, Robinson S, Halimi A, Zarantonello L, Fusai GK, Gradinariu G, Alseidi A, Bonds M, Dreyer S, Jamieson NB, Mowbray N, Al-Sarireh B, Mavroeidis VK, Soonawalla Z, Napoli N, Boggi U, Kent TS, Fisher WE, Tang CN, Bolm L, House MG, Dillhoff ME, Behrman SW, Nakamura M, Ball CG, Berger AC, Christein JD, Zureikat AH, Salem RR, Vollmer CM, Salvia R, Besselink MG, Abu Hilal M, Aljarrah R, Barrows C, Cagigas MN, Lai ECH, Wellner U, Aversa J, Dickson PV, Ohtsuka T, Dixon E, Zheng R, Kowalski S, Freedman-Weiss M; International Study Group on Ampullary Cancer (ISGACA) Collaborators. Development and external validation of a prediction model for survival in patients with resected ampullary adenocarcinoma. Eur J Surg Oncol 2020;46:1717-26. [PMID: 32624291 DOI: 10.1016/j.ejso.2020.04.011] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 Han SH, Heo JS, Choi SH, Choi DW, Han IW, Han S, You YH. Actual long-term outcome of T1 and T2 pancreatic ductal adenocarcinoma after surgical resection. Int J Surg 2017;40:68-72. [PMID: 28232032 DOI: 10.1016/j.ijsu.2017.02.007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
5 Bradley A, Van Der Meer R, McKay CJ. A systematic review of methodological quality of model development studies predicting prognostic outcome for resectable pancreatic cancer. BMJ Open 2019;9:e027192. [PMID: 31439598 DOI: 10.1136/bmjopen-2018-027192] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
6 El Nakeeb A, El Sorogy M, Ezzat H, Said R, El Dosoky M, Abd El Gawad M, Elsabagh AM, El Hanafy E. Predictors of long-term survival after pancreaticoduodenectomy for peri-ampullary adenocarcinoma: A retrospective study of 5-year survivors. Hepatobiliary Pancreat Dis Int 2018;17:443-9. [PMID: 30126828 DOI: 10.1016/j.hbpd.2018.08.004] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
7 Chin KM, Di Martino M, Syn N, Ielpo B, Hilal MA, Goh BKP, Koh YX, Prieto M. Re-appraising the role of lymph node status in predicting survival in resected distal cholangiocarcinoma - A meta-analysis and systematic review. Eur J Surg Oncol 2021;47:1267-77. [PMID: 33549378 DOI: 10.1016/j.ejso.2021.01.004] [Reference Citation Analysis]
8 Serra N, Di Carlo P, Gulotta G, d' Arpa F, Giammanco A, Colomba C, Melfa G, Fasciana T, Sergi C. Bactibilia in women affected with diseases of the biliary tract and pancreas. A STROBE guidelines-adherent cross-sectional study in Southern Italy. J Med Microbiol. 2018;67:1090-1095. [PMID: 29975626 DOI: 10.1099/jmm.0.000787] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.5] [Reference Citation Analysis]
9 Kamarajah SK. Pancreaticoduodenectomy for periampullary tumours: a review article based on Surveillance, End Results and Epidemiology (SEER) database. Clin Transl Oncol. 2018;20:1153-1160. [PMID: 29335829 DOI: 10.1007/s12094-018-1832-5] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 4.5] [Reference Citation Analysis]
10 Hung YS, Chang SC, Liu KH, Hung CY, Kuo YC, Tsai CY, Hsu JT, Yeh TS, Chen JS, Chou WC. A prognostic model based on lymph node metastatic ratio for predicting survival outcome in gastric cancer patients with N3b subclassification. Asian J Surg 2019;42:85-92. [PMID: 29248301 DOI: 10.1016/j.asjsur.2017.10.001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
11 You H, Yang J, Liu Q, Tang L, Bu Q, Pan Z, Lyu J. The impact of the lymph node density on overall survival in patients with Wilms' tumor: a SEER analysis. Cancer Manag Res 2018;10:671-7. [PMID: 29670401 DOI: 10.2147/CMAR.S163514] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
12 Strijker M, Chen JW, Mungroop TH, Jamieson NB, van Eijck CH, Steyerberg EW, Wilmink JW, Groot Koerkamp B, van Laarhoven HW, Besselink MG. Systematic review of clinical prediction models for survival after surgery for resectable pancreatic cancer. Br J Surg 2019;106:342-54. [PMID: 30758855 DOI: 10.1002/bjs.11111] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 6.0] [Reference Citation Analysis]
13 Rubinstein JC, Dinauer C, Herrick-Reynolds K, Morotti R, Callender GG, Christison-Lagay ER. Lymph node ratio predicts recurrence in pediatric papillary thyroid cancer. J Pediatr Surg 2019;54:129-32. [PMID: 30361076 DOI: 10.1016/j.jpedsurg.2018.10.010] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
14 Tong Z, Liu Y, Ma H, Zhang J, Lin B, Bao X, Xu X, Gu C, Zheng Y, Liu L, Fang W, Deng S, Zhao P. Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer. Front Bioeng Biotechnol 2020;8:196. [PMID: 32232040 DOI: 10.3389/fbioe.2020.00196] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]