ArticleBMC infectious diseases2017
Why being an expert - despite xpert -remains crucial for children in high TB burden settings.
Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Xpert MTB/RIF and Xpert MTB/RIF Ultra assays for active tuberculosis and rifampicin resistance in children.The Cochrane database of systematic reviews · 2020Pooled it
- Article
- Performance of a Novel Stool Quantitative Polymerase Chain Reaction Assay for Pediatric Tuberculosis Detection in Sub-Saharan Africa.Journal of the Pediatric Infectious Diseases Society · 2025Article
- Pediatric Tuberculosis: A Review of Evidence-Based Best Practices for Clinicians and Health Care Providers.Pathogens (Basel, Switzerland) · 2024Review
- Performance of a stool-based quantitative PCR assay for the diagnosis of tuberculosis in adolescents and adults: a multinational, prospective diagnostic accuracy study.The Lancet. Microbe · 2024Article
- Two Clinical Prediction Tools to Inform Rapid Tuberculosis Treatment Decision-making in Children.Open forum infectious diseases · 2023Article
- Diagnostic Challenges in Childhood Pulmonary Tuberculosis-Optimizing the Clinical Approach.Pathogens (Basel, Switzerland) · 2022Review
- Diagnostic Advances in Childhood Tuberculosis-Improving Specimen Collection and Yield of Microbiological Diagnosis for Intrathoracic Tuberculosis.Pathogens (Basel, Switzerland) · 2022Review
- A Prospective Evaluation of Xpert MTB/RIF Ultra for Childhood Pulmonary Tuberculosis in Uganda.Journal of the Pediatric Infectious Diseases Society · 2021Article
- Distinct Risk Factors for Clinical and Bacteriologically Confirmed Tuberculosis among Child Household Contacts in a High-Burden Setting.The American journal of tropical medicine and hygiene · 2020Article
- Diagnosis of Osteoarticular Tuberculosis: Perceptions, Protocols, Practices, and Priorities in the Endemic and Non-Endemic Areas of the World-A WAIOT View.Microorganisms · 2020Review
- A three-marker protein biosignature distinguishes tuberculosis from other respiratory diseases in Gambian children.EBioMedicine · 2020Article
- Rapid detection of Mycobacterium tuberculosis in children using blood and urine specimens.Revista da Sociedade Brasileira de Medicina Tropical · 2020Article
- Quality matters: Redefining child TB care with an emphasis on quality.Journal of clinical tuberculosis and other mycobacterial diseases · 2019Article
- Pediatric tropical medicine: The neglected diseases of children.PLoS neglected tropical diseases · 2019Article
- Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey.BMC infectious diseases · 2018Article
- Alternative Quantiferon cytokines for diagnosis of children with active tuberculosis and HIV co-infection in Ghana.Medical microbiology and immunology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundAs access to Xpert expands in high TB-burden settings, its performance against clinically diagnosed TB as a reference standard provides important insight as the majority of childhood TB is bacteriologically unconfirmed. We aim to describe the characteristics and outcomes of children with presumptive TB and TB disease, and assess performance of Xpert under programmatic conditions against a clinical diagnosis of TB as a reference standard.
methodsRetrospective review of children evaluated for presumptive TB in Mbeya, Tanzania. Baseline characteristics were compared by TB disease status and, for patients diagnosed with TB, by TB confirmation status using Wilcoxon rank sum test for continuous variables and the Chi-square test for categorical variables. Sensitivity and specificity were calculated to assess the performance of Xpert, smear, and culture against clinical TB. Kappa statistics were calculated to assess agreement between Xpert and smear to culture.
resultsAmong children (N = 455) evaluated for presumptive TB, 70.3% (320/455) had Xpert and 62.8% (286/455) had culture performed on sputa. 34.5% (157/455) were diagnosed with TB: 80.3% (126/157) pulmonary TB, 13.4% (21/157) bacteriologically confirmed, 53.5% (84/157) HIV positive, and 48.4% (76/157) inpatients. Compared to the reference standard of clinical diagnosis, sensitivity of Xpert was 8% (95% CI 4-15), smear 6% (95% CI 3-12) and culture 16% (95% CI 9-24), and did not differ based on patient disposition, nutrition or HIV status.
conclusionDespite access to Xpert, the majority of children with presumptive TB were treated based on clinical diagnosis. Reflecting the reality of clinical practice in resource limited settings, new diagnostics such as Xpert serve as important adjunctive tests but will not obviate the need for astute clinicians and comprehensive diagnostic algorithms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.