BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Asakawa Y, Ohtaka M, Maekawa S, Fukasawa M, Nakayama Y, Yamaguchi T, Inoue T, Uetake T, Sakamoto M, Sato T, Kawaguchi Y, Fujii H, Mochizuki K, Hada M, Oyama T, Yasumura T, Omata K, Nishiyama A, Naito K, Hata H, Haba Y, Miyata K, Saitoh H, Yamadera Y, Miura K, Kawaoi A, Abe T, Tsunoda H, Honda Y, Kurosaki M, Enomoto N. Stratifying the risk of lymph node metastasis in undifferentiated-type early gastric cancer. World J Gastroenterol 2015; 21(9): 2683-2692 [PMID: 25759537 DOI: 10.3748/wjg.v21.i9.2683] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.2] [Reference Citation Analysis]
Number Citing Articles
1 Liang XQ, Wang Z, Li HT, Ma G, Yu WW, Zhou HC, Liu HB. Indication for endoscopic treatment based on the risk of lymph node metastasis in patients with undifferentiated early gastric cancer. Asian J Surg. 2020;43:973-977. [PMID: 31964584 DOI: 10.1016/j.asjsur.2019.12.002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
2 Pyo JH, Shin CM, Lee H, Min BH, Lee JH, Kim SM, Choi MG, Lee JH, Sohn TS, Bae JM, Kim KM, Kim HS, Jung SH, Kim JJ, Kim S; JHP and CMS contributed equally as the first authors of this study. A Risk-prediction Model Based on Lymph-node Metastasis for Incorporation Into a Treatment Algorithm for Signet Ring Cell-type Intramucosal Gastric Cancer. Ann Surg 2016;264:1038-43. [PMID: 27828821 DOI: 10.1097/SLA.0000000000001602] [Cited by in Crossref: 22] [Cited by in F6Publishing: 18] [Article Influence: 5.5] [Reference Citation Analysis]
3 Park JC, Lee YK, Kim SY, Roh Y, Hahn KY, Shin SK, Lee SK, Lee YC, Kim HI, Cheong JH, Hyung WJ, Noh SH. Long-term outcomes of endoscopic submucosal dissection in comparison to surgery in undifferentiated-type intramucosal gastric cancer using propensity score analysis. Surg Endosc. 2018;32:2046-2057. [PMID: 29052072 DOI: 10.1007/s00464-017-5901-6] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 4.3] [Reference Citation Analysis]
4 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]
5 Ryu ES, Chang SJ, An J, Yang JY, Chung JW, Kim YJ, Kim KO, Park DK, Kwon KA, Nam S, Lee WK, Kim JH. Sex-specific differences in risk factors of lymph node metastasis in patients with early gastric cancer. PLoS One. 2019;14:e0224019. [PMID: 31626653 DOI: 10.1371/journal.pone.0224019] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
6 Pyo JH, Lee H, Min BH, Lee JH, Choi MG, Lee JH, Sohn TS, Bae JM, Kim KM, Ahn HS, Jung SH, Kim S, Kim JJ. A Risk Prediction Model Based on Lymph-Node Metastasis in Poorly Differentiated-Type Intramucosal Gastric Cancer. PLoS One 2016;11:e0156207. [PMID: 27228258 DOI: 10.1371/journal.pone.0156207] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.4] [Reference Citation Analysis]
7 Kim SM, Lee H, Min BH, Kim JJ, An JY, Choi MG, Bae JM, Kim S, Sohn TS, Lee JH. A prediction model for lymph node metastasis in early-stage gastric cancer: Toward tailored lymphadenectomy. J Surg Oncol 2019;120:670-5. [PMID: 31301150 DOI: 10.1002/jso.25628] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Zhao X, Cai A, Xi H, Song Y, Wang Y, Li H, Li P, Chen L. Predictive factors for lymph node metastasis in early gastric cancer with signet ring cell histology: a meta-analysis. ANZ J Surg 2017;87:981-6. [PMID: 28681963 DOI: 10.1111/ans.14089] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
9 Imai S, Yamada T, Kasashi K, Ishiguro N, Kobayashi M, Iseki K. Construction of a flow chart-like risk prediction model of ganciclovir-induced neutropaenia including severity grade: A data mining approach using decision tree. J Clin Pharm Ther. 2019;44:726-734. [PMID: 31148201 DOI: 10.1111/jcpt.12852] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
10 Imai S, Yamada T, Kasashi K, Niinuma Y, Kobayashi M, Iseki K. Construction of a risk prediction model of vancomycin-associated nephrotoxicity to be used at the time of initial therapeutic drug monitoring: A data mining analysis using a decision tree model. J Eval Clin Pract 2019;25:163-70. [DOI: 10.1111/jep.13039] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 3.3] [Reference Citation Analysis]
11 Imai S, Yamada T, Kasashi K, Kobayashi M, Iseki K. Usefulness of a decision tree model for the analysis of adverse drug reactions: Evaluation of a risk prediction model of vancomycin-associated nephrotoxicity constructed using a data mining procedure. J Eval Clin Pract 2017;23:1240-6. [DOI: 10.1111/jep.12767] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 2.8] [Reference Citation Analysis]
12 Zhao LY, Yin Y, Li X, Zhu CJ, Wang YG, Chen XL, Zhang WH, Chen XZ, Yang K, Liu K, Zhang B, Chen ZX, Chen JP, Zhou ZG, Hu JK. A nomogram composed of clinicopathologic features and preoperative serum tumor markers to predict lymph node metastasis in early gastric cancer patients. Oncotarget 2016;7:59630-9. [PMID: 27449100 DOI: 10.18632/oncotarget.10732] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
13 Zhao X, Cai A, Xi H, Chen L, Peng Z, Li P, Liu N, Cui J, Li H. Predictive Factors for Lymph Node Metastasis in Undifferentiated Early Gastric Cancer: a Systematic Review and Meta-analysis. J Gastrointest Surg. 2017;21:700-711. [PMID: 28120275 DOI: 10.1007/s11605-017-3364-7] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]