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For: Liu Z, Guo C, He Y, Chen Y, Ji P, Fang Z, Li F, Tang Y, Chen X, Xiao P, Wang C, Yin W, Guo H, Liu M, Pan Y, Liu F, Liu Y, He Z, Ke Y. A clinical model predicting the risk of esophageal high-grade lesions in opportunistic screening: a multicenter real-world study in China. Gastrointest Endosc 2020;91:1253-1260.e3. [PMID: 31911077 DOI: 10.1016/j.gie.2019.12.038] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 He Z, Ke Y. Response. Gastrointest Endosc 2020;92:1137-8. [PMID: 33160494 DOI: 10.1016/j.gie.2020.06.071] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
2 Etemadi A, Dawsey SM, Abnet CC, Mwachiro MM. Predicting the risk of esophageal high-grade lesions in opportunistic screening. Gastrointest Endosc 2020;92:1136-7. [PMID: 33160493 DOI: 10.1016/j.gie.2020.05.051] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Zhao D, Gu S, Gong X, Li Y, Sun X, Chen Y, Deng Z, Zhang Y. Web-based calculator for biliary atresia screening in neonates and infants with cholestasis. Transl Pediatr 2021;10:225-35. [PMID: 33708508 DOI: 10.21037/tp-20-170] [Reference Citation Analysis]
4 Chen R, Zheng R, Zhou J, Li M, Shao D, Li X, Wang S, Wei W. Risk Prediction Model for Esophageal Cancer Among General Population: A Systematic Review. Front Public Health 2021;9:680967. [PMID: 34926362 DOI: 10.3389/fpubh.2021.680967] [Reference Citation Analysis]
5 Hu N, Wang K, Zhang L, Liu ZJ, Jin Z, Cui RL, Zhang HJ, He ZH, Ke Y, Duan LP. Epidemiological and clinical features of functional dyspepsia in a region with a high incidence of esophageal cancer in China. Chin Med J (Engl) 2021;134:1422-30. [PMID: 34091519 DOI: 10.1097/CM9.0000000000001584] [Reference Citation Analysis]
6 Liu YQ, Chu LY, Yang T, Zhang B, Zheng ZT, Xie JJ, Xu YW, Fang WK. Serum DSG2 as a potential biomarker for diagnosis of esophageal squamous cell carcinoma and esophagogastric junction adenocarcinoma. Biosci Rep 2022;42:BSR20212612. [PMID: 35521959 DOI: 10.1042/BSR20212612] [Reference Citation Analysis]
7 Gao Y, Xin L, Feng YD, Yao B, Lin H, Sun C, An W, Li ZS, Shi RH, Wang LW. Feasibility and Accuracy of Artificial Intelligence-Assisted Sponge Cytology for Community-Based Esophageal Squamous Cell Carcinoma Screening in China. Am J Gastroenterol 2021;116:2207-15. [PMID: 34546186 DOI: 10.14309/ajg.0000000000001499] [Reference Citation Analysis]
8 Perbtani Y, Qumseya BJ. A prediction model for detection of esophageal squamous cell cancer: A new beginning or more of the same? Gastrointest Endosc 2020;91:1261-3. [PMID: 32439097 DOI: 10.1016/j.gie.2020.02.039] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Mwachiro MM, Dawsey SM. The use of questionnaire-based risk-stratification tools in screening for esophageal squamous cell carcinoma. Gastrointest Endosc 2021;93:119-21. [PMID: 33353612 DOI: 10.1016/j.gie.2020.07.023] [Reference Citation Analysis]
10 He Z, Ke Y. Precision screening for esophageal squamous cell carcinoma in China. Chin J Cancer Res 2020;32:673-82. [PMID: 33446991 DOI: 10.21147/j.issn.1000-9604.2020.06.01] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]