ArticleJournal of internal medicine2021
The electronic nose as a rule-out test for tuberculosis in an indigenous population.
Article in Journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Diagnostic Accuracy of Breath Tests to Detect Pulmonary Tuberculosis: A Systematic Review.Lung · 2025Pooled it
- A Systematic Review and Meta-analysis on Innovative Approaches in Tuberculosis Diagnosis: Challenges and Future Directions.International journal of MCH and AIDS · 2026Review
- Article
- Exhaled Breath Analysis Using a Novel Electronic Nose for Different Respiratory Disease Entities.Lung · 2025Article
- Harnessing the host response for precision infectious disease diagnosis.Clinical microbiology reviews · 2024Review
- Non-Invasive Blood Pressure Tracking of Spontaneous Hypertension Rats Using an Electronic Nose.Sensors (Basel, Switzerland) · 2023Article
- The accuracy of an electronic nose to diagnose tuberculosis in patients referred to an expert centre.PloS one · 2023Article
- The electronic nose as a rule-out test for tuberculosis in an indigenous population.Journal of internal medicine · 2021Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTo end the tuberculosis (TB) epidemic, efficient diagnostic tools are needed. In a previous calibration study, a portable 'point of care' electronic nose device (Aeonose
methodsA total of 131 participants were enrolled. eNose results were compared with anamnesis, physical examinations, chest radiography and mycobacterial cultures in individuals with signs and symptoms compatible with TB. The eNose analysis was performed in two stages: first, the training with a combination of a previous study population plus 47 participants from the new cohort (total n = 153), and second, the 'blind prediction' of 84 participants.
results21% of all participants (n = 131) showed symptoms and/or chest radiography abnormalities suspicious of TB. No sputum samples resulted culture positive for Mycobacterium tuberculosis complex. Only one patient had a positive smell print analysis. In the training model, the specificity was 92% (95% confidence interval (CI): 85%-96%) and the negative predictive value (NPV) was 95%. In the blind prediction model, the specificity and the NPV were 99% (95% CI: 93%-99%) and 100%, respectively. Although the sensitivity and positive predictive value of the eNose could not be assessed in this cohort due to the small sample size, no active TB cases were found during a one year of follow-up period.
conclusionThe eNose showed promising specificity and negative predictive value and might therefore be developed as a rule-out test for TB in vulnerable populations.
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