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. 2022 Jun 17;12:10269. doi: 10.1038/s41598-022-14379-4

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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ROC analysis for the prediction of GC metastasis. AUC indicates the diagnostic power of CEA, CA19-9, CA72-4, NLR and prediction probability for total (a), peritoneal (b), hepatic (d), osseous (c) and multisite metastasis (e). Cases of control group and different sites of metastases (f). PRE, prediction probability that was obtained by binary logistic regression of CEA, CA199, CA724 and NLR.