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Cited by in F6Publishing
For: Zhao LY, Chen XL, Wang YG, Xin Y, Zhang WH, Wang YS, Chen XZ, Yang K, Liu K, Xue L, Zhang B, Chen ZX, Chen JP, Zhou ZG, Hu JK. A new predictive model combined of tumor size, lymph nodes count and lymphovascular invasion for survival prognosis in patients with lymph node-negative gastric cancer. Oncotarget. 2016;7:72300-72310. [PMID: 27509175 DOI: 10.18632/oncotarget.11035] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 4.7] [Reference Citation Analysis]
Number Citing Articles
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2 van den Boorn HG, Engelhardt EG, van Kleef J, Sprangers MAG, van Oijen MGH, Abu-Hanna A, Zwinderman AH, Coupé VMH, van Laarhoven HWM. Prediction models for patients with esophageal or gastric cancer: A systematic review and meta-analysis. PLoS One 2018;13:e0192310. [PMID: 29420636 DOI: 10.1371/journal.pone.0192310] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 6.3] [Reference Citation Analysis]
3 Haga Y, Hato S, Ikenaga M, Yamamoto K, Tsuburaya A, Doi K, Ikejiri K, Hirata T, Yamamoto M, Ishikawa S, Takeuchi H. Validation of an assessment tool: Estimation of Postoperative Overall Survival for Gastric Cancer. Eur J Surg Oncol 2018;44:515-23. [PMID: 29422249 DOI: 10.1016/j.ejso.2018.01.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
4 Liang Y, Li Q, He D, Chen Y, Li J. Tumor size improves the accuracy of the prognostic prediction of T4a stage colon cancer. Sci Rep 2021;11:16264. [PMID: 34381141 DOI: 10.1038/s41598-021-95828-4] [Reference Citation Analysis]
5 Huang L, Wei ZJ, Li TJ, Jiang YM, Xu AM. A prospective appraisal of preoperative body mass index in D2-resected patients with non-metastatic gastric carcinoma and Siewert type II/III adenocarcinoma of esophagogastric junction: results from a large-scale cohort. Oncotarget 2017;8:68165-79. [PMID: 28978106 DOI: 10.18632/oncotarget.19251] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
6 Liang Y, Liu L, Xie X, Xia L, Meng J, Xu R, He D. Tumor Size Improves the Accuracy of the Prognostic Prediction of Lymph Node-Negative Gastric Cancer. J Surg Res. 2019;240:89-96. [PMID: 30913463 DOI: 10.1016/j.jss.2019.02.037] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
7 Li Q, Qi L, Feng QX, Liu C, Sun SW, Zhang J, Yang G, Ge YQ, Zhang YD, Liu XS. Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer. Clin Transl Gastroenterol. 2019;10:e00079. [PMID: 31577560 DOI: 10.14309/ctg.0000000000000079] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
8 Zhai Z, Zhu ZY, Zhang Y, Yin X, Han BL, Gao JL, Lou SH, Fang TY, Wang YM, Li CF, Yu XF, Ma Y, Xue YW. Prognostic significance of Borrmann type combined with vessel invasion status in advanced gastric cancer. World J Gastrointest Oncol 2020; 12(9): 992-1004 [PMID: 33005293 DOI: 10.4251/wjgo.v12.i9.992] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Yu Y, Wang W, Li Q, Zhao F, Zhou Y, Xu J, Huang C. Prognostic value of lymph node count on survival in pathologically node-negative oesophageal squamous cell cancer. Interactive CardioVascular and Thoracic Surgery 2018;26:407-12. [DOI: 10.1093/icvts/ivx363] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
10 Jiao X, Wang Y, Qu X, Qu J, Wang X. Effects of Preoperative Pyloric Stenosis on Outcomes and Nutritional Status in 73 Patients Following Curative Gastrectomy for Gastric Cancer: A Retrospective Study from a Single Center. Med Sci Monit 2021;27:e930974. [PMID: 34315845 DOI: 10.12659/MSM.930974] [Reference Citation Analysis]
11 Yuan SQ, Wu WJ, Qiu MZ, Wang ZX, Yang LP, Jin Y, Yun JP, Gao YH, Li YH, Zhou ZW, Wang F, Xu RH. Development and Validation of a Nomogram to Predict the Benefit of Adjuvant Radiotherapy for Patients with Resected Gastric Cancer. J Cancer 2017;8:3498-505. [PMID: 29151934 DOI: 10.7150/jca.19879] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 0.8] [Reference Citation Analysis]
12 Blumenthaler AN, Newhook TE, Ikoma N, Estrella JS, Blum Murphy M, Das P, Minsky BD, Ajani JA, Mansfield PF, Badgwell BD. Concurrent lymphovascular and perineural invasion after preoperative therapy for gastric adenocarcinoma is associated with decreased survival. J Surg Oncol 2021;123:911-22. [PMID: 33400838 DOI: 10.1002/jso.26367] [Reference Citation Analysis]
13 Yang C, Zhang N, Wang S, Shi D, Zhang C, Liu K, Xiong B. Wedge-shaped microfluidic chip for circulating tumor cells isolation and its clinical significance in gastric cancer. J Transl Med 2018;16:139. [PMID: 29792200 DOI: 10.1186/s12967-018-1521-8] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 7.0] [Reference Citation Analysis]
14 Nobre KEL, Pereira MA, Ramos MFKP, Ribeiro U, Zilberstein B, Cecconello I, Dias AR. RECURRENCE IN PN0 GASTRIC CANCER: RISK FACTORS IN THE OCCIDENT. Arq Bras Cir Dig 2021;34:e1562. [PMID: 34008706 DOI: 10.1590/0102-672020210001e1562] [Reference Citation Analysis]