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Cited by in F6Publishing
For: Yin L, Lin X, Liu J, Li N, He X, Zhang M, Guo J, Yang J, Deng L, Wang Y, Liang T, Wang C, Jiang H, Fu Z, Li S, Wang K, Guo Z, Ba Y, Li W, Song C, Cui J, Shi H, Xu H; Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group. Classification Tree-Based Machine Learning to Visualize and Validate a Decision Tool for Identifying Malnutrition in Cancer Patients. JPEN J Parenter Enteral Nutr 2021. [PMID: 33415743 DOI: 10.1002/jpen.2070] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Correia MIT, Tappenden KA, Malone A, Prado CM, Evans DC, Sauer AC, Hegazi R, Gramlich L. Utilization and validation of the Global Leadership Initiative on Malnutrition (GLIM): A scoping review. Clinical Nutrition 2022. [DOI: 10.1016/j.clnu.2022.01.018] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
2 Yin L, Song C, Cui J, Lin X, Li N, Fan Y, Zhang L, Liu J, Chong F, Wang C, Liang T, Liu X, Deng L, Li W, Yang M, Yu J, Wang X, Liu X, Yang S, Zuo Z, Yuan K, Yu M, Cong M, Li Z, Jia P, Li S, Guo Z, Shi H, Xu H; Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group. A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data. Clin Nutr 2021;40:4958-70. [PMID: 34358843 DOI: 10.1016/j.clnu.2021.06.028] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Barazzoni R, Jensen GL, Correia MITD, Gonzalez MC, Higashiguchi T, Shi HP, Bischoff SC, Boirie Y, Carrasco F, Cruz-Jentoft A, Fuchs-Tarlovsky V, Fukushima R, Heymsfield S, Mourtzakis M, Muscaritoli M, Norman K, Nyulasi I, Pisprasert V, Prado C, de van der Schuren M, Yoshida S, Yu Y, Cederholm T, Compher C. Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition. Clin Nutr 2022:S0261-5614(22)00044-9. [PMID: 35450768 DOI: 10.1016/j.clnu.2022.02.001] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Compher C, Cederholm T, Correia MITD, Gonzalez MC, Higashiguch T, Shi HP, Bischoff SC, Boirie Y, Carrasco F, Cruz-Jentoft A, Fuchs-Tarlovsky V, Fukushima R, Heymsfield S, Mourtzakis M, Muscaritoli M, Norman K, Nyulasi I, Pisprasert V, Prado C, de van der Schuren M, Yoshida S, Yu Y, Jensen G, Barazzoni R. Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition diagnosis of malnutrition. JPEN J Parenter Enteral Nutr 2022. [PMID: 35437785 DOI: 10.1002/jpen.2366] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Dong S, Zhu Y, Yang H, Tang N, Huang G, Li J, Tian K. Evaluation of the Predictors for Unfavorable Clinical Outcomes of Degenerative Lumbar Spondylolisthesis After Lumbar Interbody Fusion Using Machine Learning. Front Public Health 2022;10:835938. [DOI: 10.3389/fpubh.2022.835938] [Reference Citation Analysis]
6 Yin L, Zhang L, Li N, Guo J, Liu L, Lin X, Fan Y, Liu J, Zhang M, Chong F, Chen X, Wang C, Wang X, Liang T, Liu X, Deng L, Li W, Yang M, Yu J, Wang X, Liu X, Yang S, Zuo Z, Yuan K, Yu M, Song C, Cui J, Li S, Guo Z, Shi H, Xu H. Several anthropometric measurements and cancer mortality: predictor screening, threshold determination, and joint analysis in a multicenter cohort of 12138 adults. Eur J Clin Nutr 2021. [PMID: 34584226 DOI: 10.1038/s41430-021-01009-x] [Reference Citation Analysis]
7 Yin L, Song C, Cui J, Lin X, Li N, Fan Y, Zhang L, Liu J, Chong F, Wang C, Liang T, Liu X, Deng L, Yang M, Yu J, Wang X, Liu X, Yang S, Zuo Z, Yuan K, Yu M, Cong M, Li Z, Weng M, Yao Q, Jia P, Li S, Guo Z, Li W, Shi H, Xu H. De novo Creation and Assessment of a Prognostic Fat-Age-Inflammation Index “FAIN” in Patients With Cancer: A Multicenter Cohort Study. Front Nutr 2022;9:860285. [DOI: 10.3389/fnut.2022.860285] [Reference Citation Analysis]
8 Zhang KP, Tang M, Fu ZM, Zhang Q, Zhang X, Guo ZQ, Xu HX, Song CH, Braga M, Cederholm T, Li W, Barazzoni R, Shi HP *. Global Leadership Initiative on Malnutrition criteria as a nutrition assessment tool for patients with cancer. Nutrition 2021;91-92:111379. [PMID: 34303957 DOI: 10.1016/j.nut.2021.111379] [Reference Citation Analysis]
9 Yin L, Fan Y, Lin X, Zhang L, Li N, Liu J, Guo J, Zhang M, He X, Liu L, Zhang H, Shi M, Chong F, Chen X, Wang C, Wang X, Liang T, Liu X, Deng L, Li W, Song C, Cui J, Shi H, Xu H; Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group. Fat mass assessment using the triceps skinfold thickness enhances the prognostic value of the Global Leadership Initiative on Malnutrition criteria in patients with lung cancer. Br J Nutr 2021;:1-11. [PMID: 34218831 DOI: 10.1017/S0007114521002531] [Reference Citation Analysis]
10 Yin L, Cheng N, Chen P, Zhang M, Li N, Lin X, He X, Wang Y, Xu H, Guo W, Liu J. Association of Malnutrition, as Defined by the PG-SGA, ESPEN 2015, and GLIM Criteria, With Complications in Esophageal Cancer Patients After Esophagectomy. Front Nutr 2021;8:632546. [PMID: 33981719 DOI: 10.3389/fnut.2021.632546] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]