Evidence map›Paper›PMID 34686703›Full record

ArticleScientific reports2021

Optimization of training and measurement protocol for eNose analysis of urine headspace aimed at prostate cancer diagnosis.

Laura Capelli, Carmen Bax, Fabio Grizzi, Gianluigi Taverna

Abstract read
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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 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Accuracy of a new electronic nose for prostate cancer diagnosis in urine samples.International journal of urology : official journal of the Japanese Urological Association · 2022
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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

4 authors.

Laura CapelliDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico Di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Carmen BaxDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico Di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy. carmen.bax@polimi.it.
Fabio GrizziDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy.
Gianluigi TavernaDepartment of Urology, Humanitas Mater Domini Hospital, Via Gerenzano, 2, 21053, Castellanza, Varese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than one million new cases of prostate cancer (PCa) were reported worldwide in 2020, and a significant increase of PCa incidence up to 2040 is estimated. Despite potential treatability in early stages, PCa diagnosis is challenging because of late symptoms' onset and limits of current screening procedures. It has been now accepted that cell transformation leads to release of volatile organic compounds in biologic fluids, including urine. Thus, several studies proposed the possibility to develop new diagnostic tools based on urine analysis. Among these, electronic noses (eNoses) represent one of the most promising devices, because of their potential to provide a non-invasive diagnosis. Here we describe the approach aimed at defining the experimental protocol for eNose application for PCa diagnosis. Our research investigates effects of sample preparation and analysis on eNose responses and repeatability. The dependence of eNose diagnostic performance on urine portion analysed, techniques involved for extracting urine volatiles and conditioning temperature were analysed. 192 subjects (132 PCa patients and 60 controls) were involved. The developed experimental protocol has resulted in accuracy, sensitivity and specificity of 83% (CI

Indexed as

AgedAged, 80 and overElectronic NoseHumansMaleMiddle AgedProstateProstatic NeoplasmsSensitivity and SpecificityUrineVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID34686703
PMCPMC8536694

What Socratic holds

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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 Socratic graph.