Evidence map›Paper›PMID 32717983›Full record

ReviewBiosensors2020

Sniffing Out Urinary Tract Infection-Diagnosis Based on Volatile Organic Compounds and Smell Profile.

Valentin-Mihai Dospinescu, Akira Tiele, James A Covington

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. COVID Sniffer Dogs: Technical and Ethical Concerns.Frontiers in veterinary science · 2021
    Article
  18. Article
  19. Article
  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

3 authors at 1 institution in 1 country.

Valentin-Mihai DospinescuWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-5988-8409
Akira TieleSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0003-4303-6225
James A CovingtonSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0003-1307-6488
University of Warwick · GB

Funding

Medical Research Council MR/N014294/1
6 · The paper itself

Abstract

Current available methods for the clinical diagnosis of urinary tract infection (UTI) rely on a urine dipstick test or culturing of pathogens. The dipstick test is rapid (available in 1-2 min), but has a low positive predictive value, while culturing is time-consuming and delays diagnosis (24-72 h between sample collection and pathogen identification). Due to this delay, broad-spectrum antibiotics are often prescribed immediately. The over-prescription of antibiotics should be limited, in order to prevent the development of antimicrobial resistance. As a result, there is a growing need for alternative diagnostic tools. This paper reviews applications of chemical-analysis instruments, such as gas chromatography-mass spectrometry (GC-MS), selected ion flow tube mass spectrometry (SIFT-MS), ion mobility spectrometry (IMS), field asymmetric ion mobility spectrometry (FAIMS) and electronic noses (eNoses) used for the diagnosis of UTI. These methods analyse volatile organic compounds (VOCs) that emanate from the headspace of collected urine samples to identify the bacterial pathogen and even determine the causative agent's resistance to different antibiotics. There is great potential for these technologies to gain wide-spread and routine use in clinical settings, since the analysis can be automated, and test results can be available within minutes after sample collection. This could significantly reduce the necessity to prescribe broad-spectrum antibiotics and allow the faster and more effective use of narrow-spectrum antibiotics.

Indexed as

Electronic NoseBacteriaHumansIon Mobility SpectrometryPrincipal Component AnalysisUrinalysisUrinary Tract InfectionsUrine Specimen CollectionVolatile Organic CompoundsVolatile Organic Compoundselectronic nose (eNose)gas chromatography–mass spectrometry (GC-MS)ion mobility spectrometry (IMS)metabolite detectionpattern recognitionurinary tract infection (UTI)volatile organic compound (VOC)

Identifiers

PMID32717983
PMCPMC7460005
OpenAlexW3044171914

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.