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. 2022 Jun 15;13:3449. doi: 10.1038/s41467-022-30694-w

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — A Kaplan-Meier curves for analysis of TTP in patients (n = 87) belonging to the three genetic risk groups (Low: TL2, Intermediate: HL1, HL4, High: HL2, TL1, HL3); log-rank p value = 0.0005. B Multivariate cox regression analysis of the low, intermediate, and high-risk genetic subtypes and clinical risk stages according to the IMWG 20/2/20 model in the primary cohort (n = 87). C Multivariate cox regression analysis of the low, intermediate, and high-risk genetic subtypes and clinical risk stages according to the IMWG 20/2/20 model in the first validation cohort (n = 74). D Multivariate cox regression analysis of the genetic subtypes and clinical risk stages according to the IMWG 20/2/20 model in the two validation cohorts (n = 142). E Kaplan-Meier curves for analysis of TTP in patients from the six genetic subtypes in the combined cohort (n = 229); log-rank p value = 0.002. F Kaplan-Meier curves for analysis of TTP in patients belonging to the three genetic risk groups of the combined cohort (n = 229); log-rank p value = 0.0002. G Multivariate cox regression analysis of the low, intermediate, and high-risk genetic subtypes and clinical risk stages according to the IMWG 20/2/20 model in the combined cohorts (n = 229). Forest plots are used to visualize the multivariate analysis. IMWG International Myeloma Working Group, N number of patients with event and percentages from the total number of patients evaluable, HR hazards ratio, error bars indicate 95% CI. All p values are two-sided. Differences in survival curves and subsequent two-sided p values were calculated using the log-rank test.