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. 2021 Mar 9;11:5459. doi: 10.1038/s41598-021-84493-2

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© The Author(s) 2021

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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The multiple correspondence analysis (MCA) data for predictive factors for eltrombopag. Variables used in this analysis were anemia, white blood cells (WBCs) counts, bone marrow features, protopathy. For clarity, only the most discriminant variables are represented. AA aplastic anemia, MAS macrophage activation syndrome, SLE systemic lupus erythematosus, SS Sjogren's syndrome, UCTD undifferentiated connective tissue disease, ITP idiopathic thrombocytopenic purpura.