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This is a Quantitative Study study.

Transforming tuberculosis diagnosis with clinical metagenomics: progress and roadblocks

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Clinical studies show metagenomic next-generation sequencing improves tuberculosis detection, suggesting further optimization is needed.

Metagenomic next-generation sequencing improves tuberculosis diagnosis but faces challenges in specificity and interpretation.
Clinical studies indicate mNGS can achieve moderate to high sensitivity in diagnosing tuberculosis, highlighting its potential in difficult cases.
Challenges for mNGS include interference from host DNA and limitations in distinguishing active from latent tuberculosis infections.
The adoption of mNGS is hindered by practical barriers like cost, complexity in workflows, and the need for standardization in clinical settings.

Chen et al. (2025) studied this question.

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View Full Paper

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Authors

Clinical studies show metagenomic next-generation sequencing improves tuberculosis detection, suggesting further optimization is needed.

Metagenomic next-generation sequencing improves tuberculosis diagnosis but faces challenges in specificity and interpretation.
Clinical studies indicate mNGS can achieve moderate to high sensitivity in diagnosing tuberculosis, highlighting its potential in difficult cases.
Challenges for mNGS include interference from host DNA and limitations in distinguishing active from latent tuberculosis infections.
The adoption of mNGS is hindered by practical barriers like cost, complexity in workflows, and the need for standardization in clinical settings.

Chen et al. (2025) studied this question.

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