Evidence map›Paper›PMID 37185502›Full record

ArticleBiosensors2023

Human Urinary Volatilome Analysis in Renal Cancer by Electronic Nose.

Manuela Costantini, Alessio Filianoti, Umberto Anceschi, Alfredo Maria Bove, Aldo Brassetti, Mariaconsiglia Ferriero, Riccardo Mastroianni, Leonardo Misuraca, Gabriele Tuderti, Gennaro Ciliberto and 2 more

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
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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

12 authors.

Manuela CostantiniDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0003-1638-0987
Alessio FilianotiDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0002-7288-9115
Umberto AnceschiDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Alfredo Maria BoveDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0002-5139-9993
Aldo BrassettiDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Mariaconsiglia FerrieroDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Riccardo MastroianniDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Leonardo MisuracaDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Gabriele TudertiDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0003-4480-9090
Gennaro CilibertoScientific Direction, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Giuseppe SimoneDepartment of Urology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0002-4868-9025
Giulia TorregianiDepartment of Anesthesiology and Intensive Care Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0001-9236-8379

Funding

Italian Ministry of Health Ricerca Corrente 2022
6 · The paper itself

Abstract

Currently, in clinical practice there are still no useful markers available that are able to diagnose renal cancer in the early stages in the context of population screening. This translates into very high costs for healthcare systems around the world. Analysing urine using an electronic nose (EN) provides volatile organic compounds that can be easily used in the diagnosis of urological diseases. Although no convincing results have been published, some previous studies suggest that dogs trained to sniff urine can recognize different types of tumours (bladder, lung, breast cancer) with different success rates. We therefore hypothesized that urinary volatilome profiling may be able to distinguish patients with renal cancer from healthy controls. A total of 252 individuals, 110 renal patients and 142 healthy controls, were enrolled in this pilot monocentric study. For each participant, we collected, stabilized (at 37 °C) and analysed urine samples using a commercially available electronic nose (Cyranose 320

Indexed as

Kidney NeoplasmsVolatile Organic CompoundsAnimalsDogsElectronic NoseHumansLungROC CurveUrinalysisVolatile Organic Compoundscancer screeningelectronic noserenal cancertumour biomarkersvolatilome

Identifiers

PMID37185502
PMCPMC10136259

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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.