ArticleACS sensors2016
Rapid Diagnosis of Tuberculosis from Analysis of Urine Volatile Organic Compounds.
Article in ACS sensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses 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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Urine-based diagnostic tests for tuberculosis: a scoping review highlighting unmet diagnostic needs.Frontiers in microbiology · 2026Pooled it
- A systematic review of biomarkers to detect active tuberculosis.Nature microbiology · 2019Pooled it
- Optical Contact Lenses Biosensors.ACS sensors · 2025Review
- Exploratory investigation of urinary alkanes and other volatile organic compounds in paediatric patients with tuberculous meningitis.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Nanotechnology improves the detection of bacteria: Recent advances and future perspectives.Heliyon · 2024Review
- Modern approaches for detection of volatile organic compounds in metabolic studies focusing on pathogenic bacteria: Current state of the art.Journal of pharmaceutical analysis · 2024Review
- Noninvasive Detection of Bacterial Infection in Children Using Piezoelectric E-Nose.Sensors (Basel, Switzerland) · 2022Article
- Emerging nanosensor platforms and machine learning strategies toward rapid, point-of-need small-molecule metabolite detection and monitoring.Chemical science · 2022Review
- Biodiagnostics in an era of global pandemics-From biosensing materials to data management.View (Beijing, China) · 2022Review
- Expert considerations and consensus for using dogs to detect human SARS-CoV-2-infections.Frontiers in medicine · 2022Article
- Wearable Smart Contact Lenses for Continual Glucose Monitoring: A Review.Frontiers in medicine · 2022Review
- LOX-1 and cancer: an indissoluble liaison.Cancer gene therapy · 2021Review
- Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Urine LOX-1 and Volatilome as Promising Tools towards the Early Detection of Renal Cancer.Cancers · 2021Article
- Ionogels Based on a Single Ionic Liquid for Electronic Nose Application.Chemosensors (Basel, Switzerland) · 2021Article
- Optical Gas Sensing with Liquid Crystal Droplets and Convolutional Neural Networks.Sensors (Basel, Switzerland) · 2021Article
- Breath Biopsy and Discovery of Exclusive Volatile Organic Compounds for Diagnosis of Infectious Diseases.Frontiers in cellular and infection microbiology · 2020Review
- Amphiphilic Oxygenated Amorphous Carbon-Graphite Buckypapers with Gas Sensitivity to Polar and Non-Polar VOCs.Nanomaterials (Basel, Switzerland) · 2019Article
- Distance-Based Paper Device Combined with Headspace Extraction for Determination of Cyanide.Sensors (Basel, Switzerland) · 2019Article
- Contact-Lens Biosensors.Sensors (Basel, Switzerland) · 2018Review
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
The World Health Organization has called for simple, sensitive, and non-sputum diagnostics for tuberculosis. We report development of a urine tuberculosis test using a colorimetric sensor array (CSA). The sensor comprised of 73 different indicators captures high-dimensional, spatiotemporal signatures of volatile chemicals emitted by human urine samples. The sensor responses to 63 urine samples collected from 22 tuberculosis cases and 41 symptomatic controls were measured under five different urine test conditions. Basified testing condition yielded the best accuracy with 85.5% sensitivity and 79.5% specificity. The CSA urine assay offers desired features needed for tuberculosis diagnosis in endemic settings.
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Identifiers
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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.