Evidence map›Paper›PMID 30394364›Full record

ArticleJournal of breath research2018

Exhaled human breath analysis in active pulmonary tuberculosis diagnostics by comprehensive gas chromatography-mass spectrometry and chemometric techniques.

Marco Beccaria, Carly Bobak, Boitumelo Maitshotlo, Theodore R Mellors, Giorgia Purcaro, Flavio A Franchina, Christiaan A Rees, Mavra Nasir, Andrew Black, Jane E Hill

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Journal of breath research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Profiling of Volatile Metabolites ofInternational journal of molecular sciences · 2025
    Article
  8. Article
  9. Article
  10. Analysis ofMetabolites · 2024
    Article
  11. Review
  12. Review
  13. Review
  14. Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024
    Review
  15. Article
  16. Article
  17. Biomarker discovery for tuberculosis using metabolomics.Frontiers in molecular biosciences · 2023
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Marco BeccariaThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States of America.ORCID 0000-0001-6539-5531
Carly BobakGeisel School of Medicine, Dartmouth College, Hanover, NH, 03755, United States of America.
Boitumelo MaitshotloWits Reproductive Health and HIV Institute, Hillbrow, Johannesburg, 2001, South Africa.
Theodore R MellorsThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States of America.
Giorgia PurcaroThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States of America.ORCID 0000-0002-8235-9409
Flavio A FranchinaThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States of America.ORCID 0000-0001-7236-4266
Christiaan A ReesGeisel School of Medicine, Dartmouth College, Hanover, NH, 03755, United States of America.ORCID 0000-0003-1896-5348
Mavra NasirGeisel School of Medicine, Dartmouth College, Hanover, NH, 03755, United States of America.ORCID 0000-0002-0969-5967
Andrew BlackWits Reproductive Health and HIV Institute University of the Witwatersrand, Johannesburg, 2000, South Africa.
Jane E HillThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States of America.ORCID 0000-0003-3725-3266
Dartmouth College · USPerinatal HIV Research Unit · ZAUniversity of the Witwatersrand · ZA

Funding

Quantitative Biomedical Sciences at DartmouthT32LM012204 · NLM · DARTMOUTH COLLEGE · PI TOSTESON, TOR D · 2016 to 2020
$876k
NLM NIH HHS T32 LM012204
6 · The paper itself

Abstract

Tuberculosis (TB) is the deadliest infectious disease, and yet accurate diagnostics for the disease are unavailable for many subpopulations. In this study, we investigate the possibility of using human breath for the diagnosis of active TB among TB suspect patients, considering also several risk factors for TB for smokers and those with human immunodeficiency virus (HIV). The analysis of exhaled breath, as an alternative to sputum-dependent tests, has the potential to provide a simple, fast, non-invasive, and readily available diagnostic service that could positively change TB detection. A total of 50 individuals from a clinic in South Africa were included in this pilot study. Human breath has been investigated in the setting of active TB using the thermal desorption-comprehensive two-dimensional gas chromatography-time of flight mass spectrometry methodology and chemometric techniques. From the entire spectrum of volatile metabolites in breath, three machine learning algorithms (support vector machines, partial least squares discriminant analysis, and random forest) to select discriminatory volatile molecules that could potentially be useful for active TB diagnosis were employed. Random forest showed the best overall performance, with sensitivities of 0.82 and 1.00 and specificities of 0.92 and 0.60 in the training and test data respectively. Unsupervised analysis of the compounds implicated by these algorithms suggests that they provide important information to cluster active TB from other patients. These results suggest that developing a non-invasive diagnostic for active TB using patient breath is a potentially rich avenue of research, including among patients with HIV comorbidities.

Indexed as

ExhalationAdultBreath TestsDiscriminant AnalysisFemaleGas Chromatography-Mass SpectrometryHumansLeast-Squares AnalysisMachine LearningMalePilot ProjectsPrincipal Component AnalysisROC CurveSensitivity and SpecificitySupport Vector MachineTuberculosis

Identifiers

PMID30394364
PMCPMC6537098
OpenAlexW2896513355

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.