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July 29, 2026Journal of Clinical MicrobiologyOpen Access

Open-access genomic drug resistance prediction tools for Mycobacterium tuberculosis : a systematic review and meta-analysis

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Authors

KDKlaas DewaeleCJChristelle JouegoAAAdina Asim

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Overview

Systematic review and meta-analysis evaluate performance of genomic drug resistance predictive tools, informing clinical adoption.

Key Points

  • This paper aims to systematically evaluate the performance of open-access genomic tools for predicting drug resistance in Mycobacterium tuberculosis.
  • Conducted a systematic review of 39 studies encompassing 144,623 genomes.
  • Performed bivariate random-effects meta-analysis for six genomic tools (e.g., TBProfiler, Mykrobe).
  • Used meta-regression to identify factors contributing to performance variability.
  • TBProfiler and Mykrobe showed pooled rifampicin sensitivity of 95.4% and 93.7%, with specificity of 97.3% and 97.0%.
  • Isoniazid sensitivity was 92.0% and 88.2%, with specificity of 97.3% and 97.5%.
  • Meta-regression indicated rifampicin resistance prevalence significantly influences specificity across first-line drugs (β −1.5 to −3.6, FDR q < 0.05).

Cite This Study

Dewaele et al. (2026) studied this question.

synapsesocial.com/papers/6a69a2d4c8da07d9defa6bc0https://doi.org/10.1128/jcm.00321-26
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