Evidence map›Paper›PMID 32990407›Full record

ArticleBJS open2020

Chemical signature of colorectal cancer: case-control study for profiling the breath print.

D F Altomare, A Picciariello, M T Rotelli, M De Fazio, A Aresta, C G Zambonin, L Vincenti, P Trerotoli, N De Vietro

Open access · goldAbstract read
In one paragraph

Article in BJS open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 5 pooled it
3.7field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 5 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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  7. Systematic comparison of methods for offline breath sampling.Analytical and bioanalytical chemistry · 2025
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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

9 authors at 3 institutions in 1 country.

D F AltomareSurgical Unit 'M. Rubino', Department of Emergency and Organ Transplantation, Bari, Italy.ORCID https://orcid.org/0000-0001-8980-2752
A PicciarielloSurgical Unit 'M. Rubino', Department of Emergency and Organ Transplantation, Bari, Italy.ORCID https://orcid.org/0000-0002-6361-1111
M T RotelliSurgical Unit 'M. Rubino', Department of Emergency and Organ Transplantation, Bari, Italy.
M De FazioSurgical Unit 'M. Rubino', Department of Emergency and Organ Transplantation, Bari, Italy.
A ArestaDepartment of Chemistry, University Aldo Moro of Bari, Bari, Italy.
C G ZamboninDepartment of Chemistry, University Aldo Moro of Bari, Bari, Italy.
L VincentiSurgical Unit, Azienda Ospedaliero-Universitaria Policlinico Bari, Bari, Italy.
P TrerotoliStatistical Unit, Department of Biomedical Sciences and Human Oncology, Bari, Italy.
N De VietroDepartment of Chemistry, University Aldo Moro of Bari, Bari, Italy.
University of Bari Aldo Moro · ITAzienda Universitaria Ospedaliera Consorziale - Policlinico Bari · ITIstituto Tumori Bari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective screening for colorectal cancer can reduce mortality by early detection of tumours and colonic polyps. An altered pattern of volatile organic compounds (VOCs) in exhaled breath has been proposed as a potential non-invasive diagnostic tool for detection of cancer. The aim of this study was to evaluate the reliability of breath-testing for colorectal cancer screening and early diagnosis using an advanced breath sampler.

methodsThe exhaled breath of patients with colorectal cancer and non-cancer controls with negative findings on colonoscopy was collected using the ReCIVA® Breath Sampler. This portable device is able to capture the alveolar breath fraction without environmental contamination. VOCs were desorbed thermally and analysed by gas chromatography-mass spectrometry. The discriminatory ability of VOCs in detecting colorectal cancer was evaluated by receiver operating characteristic (ROC) curve analysis for each VOC, followed by cross-validation by the leave-one-out method, and by applying stepwise logistic regression analysis.

resultsThe study included 83 patients with colorectal cancer and 90 non-cancer controls. Fourteen VOCs were found to have significant discriminatory ability in detecting patients with colorectal cancer. The model with the diagnosis of cancer versus no cancer resulted in a statistically significant likelihood of discrimination of 173·45 (P < 0·001), with an area under the ROC curve of 0·979. Cross-validation of the model resulted in a true predictive value for colorectal cancer of 93 per cent overall. Reliability of the breath analysis was maintained irrespective of cancer stage.

conclusionThis study demonstrated that analysis of exhaled VOCs can discriminate patients with colorectal cancer from those without. This finding may eventually lead to the creation of a smart online sensory device, capable of providing a binary answer (cancer/no cancer) and directing to further screening.

Identifiers

PMID32990407
PMCPMC8444279
OpenAlexW3091665740

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.