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. 2023 Oct 12;23:683. doi: 10.1186/s12879-023-08672-4

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© The Author(s) 2023

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — a Summary of pathogens detected by 3 methods in 63 patients. The abscissa represents the number of cases, the ordinate represents the type of pathogens detected, the red part indicates that the detection results are inconsistent with the clinical diagnosis (All four false-positive pathogens were detected by NGS), and the blue part indicates that the detection results are consistent with the clinical diagnosis. b Pie chart of pathogenic bacteria detected in 63 patients. Others include Staphylococcus aureus (2 cases), Streptococcus suis (2 cases), Nocardia brasiliensis (1 case), Candida glabrata (1 cases) and Corynebacterium striatum (1 case)