Evidence map›Paper›PMID 33526828›Full record

ArticleScientific reports2021

Breath can discriminate tuberculosis from other lower respiratory illness in children.

Carly A Bobak, Lili Kang, Lesley Workman, Lindy Bateman, Mohammad S Khan, Margaretha Prins, Lloyd May, Flavio A Franchina, Cynthia Baard, Mark P Nicol and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Effect of TMEM18 rs7561317 on metabolome in context of obesity.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. A study of 9 common breath VOCs in 504 healthy subjects using PTR-TOF-MS.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Pediatric Tuberculosis Diagnostics: Present and Future.Journal of the Pediatric Infectious Diseases Society · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Carly A BobakThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Lili Kang *Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Lesley Workman *Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children's Hospital, Cape Town, South Africa.
Lindy BatemanDepartment of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children's Hospital, Cape Town, South Africa.
Mohammad S KhanThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Margaretha PrinsDepartment of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children's Hospital, Cape Town, South Africa.
Lloyd MayThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Flavio A FranchinaThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Cynthia BaardDepartment of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children's Hospital, Cape Town, South Africa.
Mark P NicolDivision of Medical Microbiology and Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Heather J Zar *Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children's Hospital, Cape Town, South Africa.
Jane E Hill *Thayer School of Engineering, Dartmouth College, Hanover, NH, USA. jane.hill@ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric tuberculosis (TB) remains a global health crisis. Despite progress, pediatric patients remain difficult to diagnose, with approximately half of all childhood TB patients lacking bacterial confirmation. In this pilot study (n = 31), we identify a 4-compound breathprint and subsequent machine learning model that accurately classifies children with confirmed TB (n = 10) from children with another lower respiratory tract infection (LRTI) (n = 10) with a sensitivity of 80% and specificity of 100% observed across cross validation folds. Importantly, we demonstrate that the breathprint identified an additional nine of eleven patients who had unconfirmed clinical TB and whose symptoms improved while treated for TB. While more work is necessary to validate the utility of using patient breath to diagnose pediatric TB, it shows promise as a triage instrument or paired as part of an aggregate diagnostic scheme.

Indexed as

Breath TestsChildChild, PreschoolDiagnosis, DifferentialFemaleHumansMaleRespiratory Tract InfectionsSensitivity and SpecificityTuberculosis

Identifiers

PMID33526828
PMCPMC7851130

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.