Evidence map›Paper›PMID 35534435›Full record

Trial reportInternational journal of urology : official journal of the Japanese Urological Association2022

Accuracy of a new electronic nose for prostate cancer diagnosis in urine samples.

Gianluigi Taverna, Fabio Grizzi, Lorenzo Tidu, Carmen Bax, Matteo Zanoni, Paolo Vota, Beatrice Julia Lotesoriere, Stefano Prudenza, Luca Magagnin, Giacomo Langfelder and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of urology : official journal of the Japanese Urological Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

13 authors.

Gianluigi TavernaDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Fabio GrizziDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.ORCID 0000-0003-0925-742X
Lorenzo TiduItalian Ministry of Defenses, "Vittorio Veneto" Division, Florence, Italy.
Carmen BaxDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Matteo ZanoniDepartment of Urology, Humanitas Mater Domini Hospital, Varese, Italy.
Paolo VotaDepartment of Urology, Humanitas Mater Domini Hospital, Varese, Italy.
Beatrice Julia LotesoriereDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Stefano PrudenzaDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Luca MagagninDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.ORCID 0000-0001-5553-6441
Giacomo LangfelderDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Nicolò BuffiDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Paolo CasaleDepartment of Urology, IRCCS Humanitas Research Hospital, Milan, Italy.
Laura CapelliDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the accuracy of a new electronic nose to recognize prostate cancer in urine samples.

methodsA blind, prospective study on consecutive patients was designed. Overall, 174 subjects were included in the study: 88 (50.6%) in prostate cancer group, and 86 (49.4%) in control group. Electronic nose performance for prostate cancer was assessed using sensitivity and specificity. The diagnostic accuracy of electronic nose was reported as area under the receiver operating characteristic curve.

resultsThe electronic nose in the study population reached a sensitivity 85.2% (95% confidence interval 76.1-91.9; 13 false negatives out of 88), a specificity 79.1% (95% confidence interval 69.0-87.1; 18 false positives out of 86). The accuracy of the electronic nose represented as area under the receiver operating characteristic curve 0.821 (95% confidence interval 0.764-0.879).

conclusionsThe diagnostic accuracy of electronic nose for recognizing prostate cancer in urine samples is high, promising and susceptible to supplemental improvement. Additionally, further studies will be necessary to design a clinical trial to validate electronic nose application in diagnostic prostate cancer nomograms.

Indexed as

Electronic NoseProstatic NeoplasmsHumansMaleProspective StudiesProstateROC CurvecancerdiagnosiseNoseprostateurinevolatile organic compounds

Identifiers

PMID35534435
PMCPMC9543199

What OpenQuestion holds

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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.