Evidence map›Paper›PMID 23212621›Full record

ArticleThe British journal of surgery2013

Exhaled volatile organic compounds identify patients with colorectal cancer.

D F Altomare, M Di Lena, F Porcelli, L Trizio, E Travaglio, M Tutino, S Dragonieri, V Memeo, G de Gennaro

2 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in The British journal of surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 121 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 11 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.

NCT04217083 unknown statusnot on this mapstarted 2019, after this paper: background citation

Volatile Organic Compounds (VOCs) Could Discriminate Patients With Colorectal Cancer From Healthy Controls.

Typeobservational_patient_registrySponsorSocieta Italiana di Chirurgia ColoRettaleRan2019 to 2021Enrolled90ConditionsColorectal Cancer, Colon PolypArmsBreath sampling
NCT04407416 naunknown statusnot on this mapstarted 2020, after this paper: background citation

The Effectiveness of Breath Analysis Versus FIT for Colorectal Cancer Screening

TypeinterventionalSponsorSocieta Italiana di Chirurgia ColoRettaleRan2020 to 2022Enrolled150ConditionsColorectal Cancer, Colorectal PolypArmsBreath sampling
3 · Its place in the literature

Who cites it

121 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  8. Exhaled Breath Analysis in Diagnosis of Malignant Pleural Mesothelioma: Systematic Review.International journal of environmental research and public health · 2020
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61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

D F AltomareDepartment of Emergency and Organ Transplantation, University Aldo Moro of Bari, Bari, Italy. donatofrancesco.altomare@uniba.it
M Di Lena
F Porcelli
L Trizio
E Travaglio
M Tutino
S Dragonieri
V Memeo
G de Gennaro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn effective screening tool for colorectal cancer is still lacking. Analysis of the volatile organic compounds (VOCs) linked to cancer is a new frontier in cancer screening, as tumour growth involves several metabolic changes leading to the production of specific compounds that can be detected in exhaled breath. This study investigated whether patients with colorectal cancer have a specific VOC pattern compared with the healthy population.

methodsExhaled breath was collected in an inert bag (Tedlar(®) ) from patients with colorectal cancer and healthy controls (negative at colonoscopy), and processed offline by thermal-desorber gas chromatography-mass spectrometry to evaluate the VOC profile. During the trial phase VOCs of interest were identified and selected, and VOC patterns able to discriminate patients from controls were set up; in the validation phase their discriminant performance was tested on blinded samples. A probabilistic neural network (PNN) validated by the leave-one-out method was used to identify the pattern of VOCs that better discriminated between the two groups.

resultsSome 37 patients and 41 controls were included in the trial phase. Application of a PNN to a pattern of 15 compounds showed a discriminant performance with a sensitivity of 86 per cent, a specificity of 83 per cent and an accuracy of 85 per cent (area under the receiver operating characteristic (ROC) curve 0·852). The accuracy of PNN analysis was confirmed in the validation phase on a further 25 subjects; the model correctly assigned 19 patients, giving an overall accuracy of 76 per cent.

conclusionThe pattern of VOCs in patients with colorectal cancer was different from that in healthy controls. The PNN in this study was able to discriminate patients with colorectal cancer with an accuracy of over 75 per cent. Breath VOC analysis appears to have potential clinical application in colorectal cancer screening, although further studies are required to confirm its reliability in heterogeneous clinical settings.

Identifiers

PMID23212621

What OpenQuestion holds

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Registered trials

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.