Evidence map›Paper›PMID 34450881›Full record

ArticleSensors (Basel, Switzerland)2021

Non-Invasive Detection and Staging of Colorectal Cancer Using a Portable Electronic Nose.

Heena Tyagi, Emma Daulton, Ayman S Bannaga, Ramesh P Arasaradnam, James A Covington

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Heena TyagiSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Emma DaultonSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Ayman S BannagaDepartment of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry CV2 2DX, UK.ORCID 0000-0003-4814-7864
Ramesh P ArasaradnamDepartment of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry CV2 2DX, UK.ORCID 0000-0002-2231-3062
James A CovingtonSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0003-1307-6488
University of Warwick · GBUniversity Hospital Coventry · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic noses (e-nose) offer potential for the detection of cancer in its early stages. The ability to analyse samples in real time, at a low cost, applying easy-to-use and portable equipment, gives e-noses advantages over other technologies, such as Gas Chromatography-Mass Spectrometry (GC-MS). For diseases such as cancer with a high mortality, a technology that can provide fast results for use in routine clinical applications is important. Colorectal cancer (CRC) is among the highest occurring cancers and has high mortality rates, if diagnosed late. In our study, we investigated the use of portable electronic nose (PEN3), with further analysis using GC-TOF-MS, for the analysis of gases and volatile organic compounds (VOCs) to profile the urinary metabolome of colorectal cancer. We also compared the different cancer stages with non-cancers using the PEN3 and GC-TOF-MS. Results obtained from PEN3, and GC-TOF-MS demonstrated high accuracy for the separation of CRC and non-cancer. PEN3 separated CRC from non-cancerous group with 0.81 AUC (Area Under the Curve). We used data from GC-TOF-MS to obtain a VOC profile for CRC, which identified 23 potential biomarker VOCs for CRC. Thus, the PEN3 and GC-TOF-MS were found to successfully separate the cancer group from the non-cancer group.

Indexed as

Colorectal NeoplasmsVolatile Organic CompoundsElectronic NoseGas Chromatography-Mass SpectrometryHumansMetabolomeVolatile Organic Compoundscolorectal cancerelectronic noseGC-TOF-MSPEN3VOCs

Identifiers

PMID34450881
PMCPMC8398649
OpenAlexW3189545366

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.