ArticleBMC microbiology2025
Validation of mNGS results using extensive lab and clinical data.
Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A rare case of long-standing lupus vulgaris with psoriasiform manifestations diagnosed by mNGS: a case report.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Microbial cell-free DNA for rapid pathogen identification in clinical diagnostics: a proof of concept study.Genome medicine · 2026Article
- Case Report: Beyond conventional diagnostics: mNGS support in a complex immunocompromised patient diagnosis.Frontiers in medicine · 2026Article
- From urinary tract infection to deafness: community-acquired meningitis in an adult caused by hypervirulent Klebsiella pneumoniae-a case report.BMC infectious diseases · 2025Article
- Application of metagenomic next-generation sequencing technology in hematologic malignancy patients with sepsis following antibiotic use.BMC infectious diseases · 2025Article
- Clinical value of metagenomic next-generation sequencing in patients with connective tissue diseases co-infections: a single-center study from southern hospital in China.Clinical rheumatology · 2025Article
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Abstract
purposeInterpreting the results of metagenomic next-generation sequencing (mNGS) presents a significant challenge in both clinical and laboratory contexts.
methodsA retrospective analysis was conducted to validate mNGS findings, with a particular emphasis on Mycobacterium tuberculosis, Mycoplasma pneumoniae, and Pneumocystis jirovecii as representative pathogens, examined from both clinical and laboratory perspectives.
resultsBased on a comprehensive clinical analysis, the mNGS demonstrated detection accuracies for M. tuberculosis, M. pneumoniae, and P. jirovecii of 87.0% (60 out of 69; 95% confidence interval [CI], 77.04%-92.99%), 97.6% (81 out of 83; 95% CI, 91.63%-99.34%), and 78.9% (45 out of 57; 95% CI, 66.72%-87.53%), respectively. Conversely, when incorporating laboratory confirmation from a variety of detection methodologies, the accuracy rates for mNGS in identifying M. tuberculosis, M. pneumoniae, and P. jirovecii were 92.7% (51 out of 55; 95% CI, 82.74%-97.14%), 82.3% (51 out of 62; 95% CI, 70.96%-89.80%), and 83.9% (26 out of 31; 95% CI, 67.36%-92.91%), respectively. Additionally, our analysis revealed no statistically significant difference in read counts and relative abundances between mNGS results deemed clinically as false positives and those considered true positives (P < 0.05).
conclusionIn contemporary clinical practice, the detection of positive results from mNGS is notably high from both laboratory and clinical standpoints. Nonetheless, the interpretation of results with low read counts presents significant challenges for both clinical and laboratory environments under current conditions.
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