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Rory Dunbar

As seen in: PLOS Medicine, The Lancet
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Articles

Diagnostic accuracy of the WHO tuberculosis treatment decision algorithms for children with presumptive tuberculosis: An individual participant data meta-analysis

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By Laura Olbrich, Leyla Sophie Larsson, Rory Dunbar, Cape Town
| PLOS Medicine Verified
Loading metrics Open Access Peer-reviewed Research Article Citation: Olbrich L, Larsson L, Dunbar R, Dodd PJ, Palmer M, Huyen Ton Nu Nguyet M, et al. (2025) Diagnostic accuracy of the WHO tuberculosis treatment decision algorithms for children with presumptive tuberculosis: An individual participant data meta-analysis. PLoS Med 22(11): e1004610.
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Complementary surveillance strategies are needed to better characterise the epidemiology, care pathways and treatment outcomes of tuberculosis in children

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By H. Simon Schaaf, Rory Dunbar, Karen du Preez, Elisabetta Walters
| Biomed Central (BMC)
In this TB-endemic setting, our study identified a very large burden of childhood TB managed at referral hospital level, with almost 400 children during a one-year period at a single hospital. Clinical surveillance identified 237 (60%) children in addition to the existing laboratory surveillance. Despite the majority of children being young (74.9% < 5 years of age), the diagnosis was bacteriologically (culture) confirmed in 40% of children.
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Has universal screening with Xpert® MTB/RIF increased the proportion of multidrug-resistant tuberculosis cases diagnosed in a routine operational setting?

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By Judy Caldwell, Cape Town, Pren Naidoo, Rory Dunbar
| PLOS
Primary health services in Cape Town, South Africa where the introduction of Xpert® MTB/RIF (Xpert) enabled simultaneous screening for tuberculosis (TB) and drug susceptibility in all presumptive cases. To compare the proportion of TB cases with drug susceptibility tests undertaken and multidrug-resistant tuberculosis (MDR-TB) diagnosed pre-treatment and during the course of 1st line treatment in the previous smear/culture and the newly introduced Xpert-based algorithms.
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