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Updated: Sep 21, 2025

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis
Published on: April 5, 2017
Number needed to screen for TB in clinical, structural or occupational risk groups
F Naufal1, L H Chaisson2, K O Robsky3
1Department of Medicine, Johns Hopkins University, Baltimore, MD.
Active case-finding (ACF) for tuberculosis (TB) has a variable yield. The number needed to screen (NNS) varies significantly by risk group and screening strategy, indicating a need for tailored interventions.
Area of Science:
- Public Health
- Epidemiology
- Infectious Disease Control
Background:
- Active case-finding (ACF) aims to reduce tuberculosis (TB) incidence, prevalence, and mortality.
- The effectiveness of ACF interventions, measured by yield, varies considerably across different populations.
- Systematic review to calculate the number needed to screen (NNS) for TB in high-risk adult groups.
Purpose of the Study:
- To systematically review studies on ACF for active TB in adults.
- To calculate the number needed to screen (NNS) for various high-risk groups.
- To stratify NNS by screening strategy, risk group, and country-level TB incidence.
Main Methods:
- Literature search for ACF studies in adults (November 2010 - February 2020).
- Included 90 studies, analyzing active TB prevalence detected by different screening strategies.
- Calculated crude and weighted mean NNS, stratified by risk group, screening strategy, and TB incidence.
Main Results:
- NNS varied widely across and within different TB incidence settings.
- High-risk groups included inpatients, outpatients, people living with diabetes, migrants, prison inmates, persons experiencing homelessness, healthcare workers, and miners.
- Screening tools with higher sensitivity, such as Xpert MTB/RIF and chest X-ray, were associated with lower NNS.
Conclusions:
- The number needed to screen (NNS) for active TB using ACF strategies differs substantially among adult risk groups.
- Screening interventions should be customized based on local TB epidemiology and cost-effectiveness.
- Tailoring ACF strategies can optimize resource allocation and improve TB control outcomes.
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