ArticleEClinicalMedicine2022
Clinical predictors of pulmonary tuberculosis among South African adults with HIV.
Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Subclinical tuberculosis: a meta-analysis of prevalence and scoping review of definitions, prevalence and clinical characteristics.European respiratory review : an official journal of the European Respiratory Society · 2024Pooled it
- Performance of Human and Computer-aided Evaluation of Digital Chest Radiography for Community-based Screening of Asymptomatic Tuberculosis.medRxiv : the preprint server for health sciences · 2026Article
- Optimizing drug-resistant tuberculosis diagnosis: cost-effectiveness of rapid molecular and phenotypic assays in South Africa.BMC medicine · 2026Article
- Machine Learning-based Prediction of Active Tuberculosis in People With HIV Using Clinical Data.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- Diagnostic Modality Influences Tuberculosis Detection in People Living with HIV: Eight Years of Data from a Thai Referral Center.Diagnostics (Basel, Switzerland) · 2025Article
- Blood transcriptomic signatures for symptomatic tuberculosis in an African multicohort study.The European respiratory journal · 2024Article
- Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment.BMC public health · 2024Article
- Serum cytokine biosignatures for identification of tuberculosis among HIV-positive inpatients.Thorax · 2024Article
- The epidemiological situation of tuberculosis in Spain according to surveillance and hospitalization data, 2012-2020.PloS one · 2024Article
- Machine learning algorithms using national registry data to predict loss to follow- up during tuberculosis treatment.Research square · 2023Article
- Host factors associated with false negative results in an interferon-γ release assay in adults with active tuberculosis.Heliyon · 2023Article
- Yield of Facility-based Targeted Universal Testing for Tuberculosis With Xpert and Mycobacterial Culture in High-Risk Groups Attending Primary Care Facilities in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
Background: Tuberculosis (TB) clinical prediction rules rely on presence of symptoms, however many undiagnosed cases in the community are asymptomatic. This study aimed to explore the utility of clinical factors in predicting TB among people with HIV not seeking care. Methods: Baseline data were analysed from an observational cohort of ambulant adults with HIV in South Africa. Participants were tested for Findings: Between March 22, 2017, and May 15, 2018, 861 participants were enrolled; Among 851 participants included in the analysis, 94·5% were asymptomatic and 45·9% sensitised to Mtb. TB prevalence was 2·0% at baseline and incidence 2·3/100 person-years through 15 months follow-up. Study site was associated with baseline Mtb sensitisation ( Interpretation: CD4 count and antiretroviral initiation, proxies for immune status and HIV stage, were associated with Mtb sensitisation and TB disease. Inadequate performance of clinical prediction models may reflect predominantly subclinical disease diagnosed in this setting and unmeasured local site factors affecting transmission and progression. Funding: The CORTIS-HR study was funded by the Bill & Melinda Gates Foundation (OPP1151915) and by the Strategic Health Innovation Partnerships Unit of the South African Medical Research Council with funds received from the South African Department of Science and Technology. The regulatory sponsor was the University of Cape Town.
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Registered trials
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