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©The Author(s) 2022.
World J Clin Cases. Aug 6, 2022; 10(22): 7760-7771
Published online Aug 6, 2022. doi: 10.12998/wjcc.v10.i22.7760
Published online Aug 6, 2022. doi: 10.12998/wjcc.v10.i22.7760
Table 1 The performance of metagenomic next-generation sequencing and the conventional methods in the diagnosis of central nervous system virus infections
Sensitivity | Specificity | Accuracy | Positive predictive value | Negative predictive value | |
Conventional methods+ | 53.5% (42.7%, 64.2%) | 85.7% (69.0%, 94.6%) | 62.8% (53.5%, 71.3%) | 90.2% (77.8%, 96.3%) | 42.9% (31.3%, 55.2%) |
mNGS+ | 66.3% (55.2%, 75.9%) | 88.6% (72.3%, 96.3%) | 72.7% (63.7%, 80.2%) | 93.4% (83.3%, 97.9%) | 51.7% (38.5%, 64.6%) |
P value | 0.087 | 1.000 | 0.099 | 0.779 | 0.316 |
- Citation: Chen YY, Guo Y, Xue XH, Pang F. Application of metagenomic next-generation sequencing in the diagnosis of infectious diseases of the central nervous system after empirical treatment. World J Clin Cases 2022; 10(22): 7760-7771
- URL: https://www.wjgnet.com/2307-8960/full/v10/i22/7760.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i22.7760