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Cited by in F6Publishing
For: 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: 24] [Article Influence: 4.8] [Reference Citation Analysis]
Number Citing Articles
1 De Silva K, Enticott J, Barton C, Forbes A, Saha S, Nikam R. Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies. Digit Health 2021;7:20552076211047390. [PMID: 34868616 DOI: 10.1177/20552076211047390] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Chen YY, Canetto SS, Chien-Chang Wu K, Chen YL. Women's Suicide in the First-Year Postpartum: A Population-based Study. Soc Sci Med 2021;292:114594. [PMID: 34844078 DOI: 10.1016/j.socscimed.2021.114594] [Reference Citation Analysis]
3 Du K, Li L, Wang Q, Zou J, Yu Z, Li J, Zheng Y. Development and application of a dynamic prediction model for esophageal cancer. Ann Transl Med 2021;9:1546. [PMID: 34790752 DOI: 10.21037/atm-21-4964] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Islam MM, Poly TN, Walther BA, Lin MC, Li YJ. Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network. Cancers (Basel) 2021;13:5253. [PMID: 34771416 DOI: 10.3390/cancers13215253] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 D'Journo XB, Boulate D, Fourdrain A, Loundou A, van Berge Henegouwen MI, Gisbertz SS, O'Neill JR, Hoelscher A, Piessen G, van Lanschot J, Wijnhoven B, Jobe B, Davies A, Schneider PM, Pera M, Nilsson M, Nafteux P, Kitagawa Y, Morse CR, Hofstetter W, Molena D, So JB, Immanuel A, Parsons SL, Larsen MH, Dolan JP, Wood SG, Maynard N, Smithers M, Puig S, Law S, Wong I, Kennedy A, KangNing W, Reynolds JV, Pramesh CS, Ferguson M, Darling G, Schröder W, Bludau M, Underwood T, van Hillegersberg R, Chang A, Cecconello I, Ribeiro U Jr, de Manzoni G, Rosati R, Kuppusamy M, Thomas PA, Low DE; International Esodata Study Group. Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer. JAMA Surg 2021;156:836-45. [PMID: 34160587 DOI: 10.1001/jamasurg.2021.2376] [Cited by in F6Publishing: 7] [Reference Citation Analysis]
6 Li N, Wang X, Tang Y, Zhao D, Chi Y, Yang L, Jiang L, Jiang J, Shi J, Liu W, Ren H, Fang H, Tang Y, Chen B, Lu N, Jing H, Qi S, Wang S, Liu Y, Song Y, Li Y, Jin J. Down-staging depth score could be a survival predictor for locally advanced gastric cancer patients after preoperative chemoradiotherapy. Chin J Cancer Res 2021;33:447-56. [PMID: 34584370 DOI: 10.21147/j.issn.1000-9604.2021.04.02] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 van de Water LF, van den Boorn HG, Hoxha F, Henselmans I, Calff MM, Sprangers MAG, Abu-Hanna A, Smets EMA, van Laarhoven HWM. Informing Patients With Esophagogastric Cancer About Treatment Outcomes by Using a Web-Based Tool and Training: Development and Evaluation Study. J Med Internet Res 2021;23:e27824. [PMID: 34448703 DOI: 10.2196/27824] [Reference Citation Analysis]
8 Ma Y, Su X, Li X, Zhi X, Jiang K, Xia J, Li H, Yan C, Zhou L. Combined detection of peripheral blood VEGF and inflammation biomarkers to evaluate the clinical response and prognostic prediction of non-operative ESCC. Sci Rep 2021;11:15305. [PMID: 34315926 DOI: 10.1038/s41598-021-94329-8] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
9 Rahman SA, Maynard N, Trudgill N, Crosby T, Park M, Wahedally H, Underwood TJ, Cromwell DA; NOGCA Project Team and AUGIS. Prediction of long-term survival after gastrectomy using random survival forests. Br J Surg 2021:znab237. [PMID: 34297818 DOI: 10.1093/bjs/znab237] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
10 Bhuia MR, Islam MA, Nwaru BI, Weir CJ, Sheikh A. Models for estimating and projecting global, regional and national prevalence and disease burden of asthma: a systematic review. J Glob Health 2020;10:020409. [PMID: 33437461 DOI: 10.7189/jogh.10.020409] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Gironda DJ, Adams DL, He J, Xu T, Gao H, Qiao Y, Komaki R, Reuben JM, Liao Z, Blum-Murphy M, Hofstetter WL, Tang CM, Lin SH. Cancer associated macrophage-like cells and prognosis of esophageal cancer after chemoradiation therapy. J Transl Med 2020;18:413. [PMID: 33148307 DOI: 10.1186/s12967-020-02563-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 9] [Article Influence: 1.5] [Reference Citation Analysis]
12 Silva K, Lee WK, Forbes A, Demmer RT, Barton C, Enticott J. Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis. Int J Med Inform 2020;143:104268. [PMID: 32950874 DOI: 10.1016/j.ijmedinf.2020.104268] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
13 Shi XJ, Wei Y, Ji B. Systems Biology of Gastric Cancer: Perspectives on the Omics-Based Diagnosis and Treatment.Front Mol Biosci. 2020;7:203. [PMID: 33005629 DOI: 10.3389/fmolb.2020.00203] [Cited by in Crossref: 3] [Cited by in F6Publishing: 10] [Article Influence: 1.5] [Reference Citation Analysis]
14 Li Z, Wu X, Gao X, Shan F, Ying X, Zhang Y, Ji J. Development and validation of an artificial neural network prognostic model after gastrectomy for gastric carcinoma: An international multicenter cohort study. Cancer Med. 2020;9:6205-6215. [PMID: 32666682 DOI: 10.1002/cam4.3245] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
15 van Kleef JJ, van den Boorn HG, Verhoeven RHA, Vanschoenbeek K, Abu-Hanna A, Zwinderman AH, Sprangers MAG, van Oijen MGH, De Schutter H, van Laarhoven HWM. External Validation of the Dutch SOURCE Survival Prediction Model in Belgian Metastatic Oesophageal and Gastric Cancer Patients. Cancers (Basel) 2020;12:E834. [PMID: 32244310 DOI: 10.3390/cancers12040834] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
16 Hagens ERC, Feenstra ML, Eshuis WJ, Hulshof MCCM, van Laarhoven HWM, van Berge Henegouwen MI, Gisbertz SS. Conditional survival after neoadjuvant chemoradiotherapy and surgery for oesophageal cancer. Br J Surg 2020;107:1053-61. [PMID: 32017047 DOI: 10.1002/bjs.11476] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
17 Feng Q, May MT, Ingle S, Lu M, Yang Z, Tang J. Prognostic Models for Predicting Overall Survival in Patients with Primary Gastric Cancer: A Systematic Review. Biomed Res Int 2019;2019:5634598. [PMID: 31641669 DOI: 10.1155/2019/5634598] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
18 Ter Veer E, van Oijen MGH, van Laarhoven HWM. The Use of (Network) Meta-Analysis in Clinical Oncology. Front Oncol 2019;9:822. [PMID: 31508373 DOI: 10.3389/fonc.2019.00822] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 5.7] [Reference Citation Analysis]
19 Takeuchi M, Ajani JA, Fang X, Pfeiffer P, Takeuchi M, van Laarhoven HWM. Meta-Enrichment Analyses to Identify Advanced Gastric Cancer Patients Who Achieve a Higher Response to S-1/Cisplatin. Cancers (Basel) 2019;11:E871. [PMID: 31234436 DOI: 10.3390/cancers11060871] [Reference Citation Analysis]
20 van den Ende T, Ter Veer E, Mali RMA, van Berge Henegouwen MI, Hulshof MCCM, van Oijen MGH, van Laarhoven HWM. Prognostic and Predictive Factors for the Curative Treatment of Esophageal and Gastric Cancer in Randomized Controlled Trials: A Systematic Review and Meta-Analysis. Cancers (Basel) 2019;11:E530. [PMID: 31013858 DOI: 10.3390/cancers11040530] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
21 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: 22] [Article Influence: 6.0] [Reference Citation Analysis]
22 van den Boorn HG, Abu-Hanna A, Ter Veer E, van Kleef JJ, Lordick F, Stahl M, Ajani JA, Guimbaud R, Park SH, Dutton SJ, Bang YJ, Boku N, Mohammad NH, Sprangers MAG, Verhoeven RHA, Zwinderman AH, van Oijen MGH, van Laarhoven HWM. SOURCE: A Registry-Based Prediction Model for Overall Survival in Patients with Metastatic Oesophageal or Gastric Cancer. Cancers (Basel) 2019;11:E187. [PMID: 30764578 DOI: 10.3390/cancers11020187] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 3.3] [Reference Citation Analysis]
23 Tang X, Zhou X, Li Y, Tian X, Wang Y, Huang M, Ren L, Zhou L, Ding Z, Zhu J, Xu Y, Peng F, Wang J, Lu Y, Gong Y. A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Patients with Initially Diagnosed Metastatic Esophageal Cancer: A SEER-Based Study. Ann Surg Oncol 2019;26:321-8. [DOI: 10.1245/s10434-018-6929-0] [Cited by in Crossref: 18] [Cited by in F6Publishing: 33] [Article Influence: 4.5] [Reference Citation Analysis]
24 Ter Veer E, van Kleef JJ, Schokker S, van der Woude SO, Laarman M, Haj Mohammad N, Sprangers MAG, van Oijen MGH, van Laarhoven HWM. Prognostic and predictive factors for overall survival in metastatic oesophagogastric cancer: A systematic review and meta-analysis. Eur J Cancer 2018;103:214-26. [PMID: 30268922 DOI: 10.1016/j.ejca.2018.07.132] [Cited by in Crossref: 14] [Cited by in F6Publishing: 18] [Article Influence: 3.5] [Reference Citation Analysis]