Evidence map›Paper›PMID 32380781›Full record

ArticleBiosensors2020

Smell - Adding a New Dimension to Urinalysis.

Eva H Visser, Daan J C Berkhout, Jiwanjot Singh, Annemieke Vermeulen, Niloufar Ashtiani, Nanne K de Boer, Joanna A E van Wijk, Tim G de Meij, Arend Bökenkamp

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors at 3 institutions in 1 country.

Eva H VisserDepartment of Pediatric Gastro-Enterology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Daan J C BerkhoutDepartment of Pediatric Gastro-Enterology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Jiwanjot SinghDepartment of Pediatric Gastro-Enterology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Annemieke VermeulenDepartment of Pediatrics, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Niloufar AshtianiDepartment of Pediatrics, OLVG Oost, 1091 AC Amsterdam, The Netherlands.
Nanne K de BoerDepartment of Gastroenterology and Hepatology, Amsterdam Gastroenterology and Metabolism Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Joanna A E van WijkDepartment of Pediatric Nephrology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Tim G de MeijDepartment of Pediatric Gastro-Enterology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Arend BökenkampDepartment of Pediatric Nephrology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Emma Kinderziekenhuis · NLAmsterdam University Medical Centers · NLGGZ Oost Brabant · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infections (UTI) are among the most common infections in children. The primary tool to detect UTI is dipstick urinalysis; however, this has limited sensitivity and specificity. Therefore, urine culture has to be performed to confirm a UTI. Urinary volatile organic compounds (VOC) may serve as potential biomarker for diagnosing UTI. Previous studies on urinary VOCs focused on detection of UTI in a general population; therefore, this proof-of-principle study was set up in a clinical high-risk pediatric population.

methodsThis study was performed at a tertiary nephro-urological clinic. Patients included were 0-18 years, clinically suspected of a UTI, and had abnormal urinalysis. Urine samples were divided into four groups, i.e., urine without bacterial growth, contamination, colonization, and UTI. VOC analysis was performed using an electronic nose (eNose) (Cyranose 320

resultsUrinary VOC analysis discriminated between UTI and non-UTI samples (AUC 0.70;

conclusionsIn an intention-to-diagnose high-risk pediatric population, UTI could be discriminated from non-UTI by VOC profiling, using an eNose. Since eNose can be used as bed-side test, these results suggest that urinary VOC analysis may serve as an adjuvant in the diagnostic work-up of UTI in children.

Indexed as

Electronic NoseUrinalysisAdolescentBiomarkersChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleProspective StudiesSensitivity and SpecificityUrinary Tract InfectionsVolatile Organic CompoundsBiomarkersVolatile Organic Compoundsbacterial growth cultureelectronic noseurinary tract infectionvolatile organic compounds

Identifiers

PMID32380781
PMCPMC7277101
OpenAlexW3023079820

What OpenQuestion holds

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LicenceCC BY
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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.