Evidence map›Paper›PMID 39996984›Full record

ArticleBiosensors2025

Development of Electronic Nose as a Complementary Screening Tool for Breath Testing in Colorectal Cancer.

Chih-Dao Chen, Yong-Xiang Zheng, Heng-Fu Lin, Hsiao-Yu Yang

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Chih-Dao ChenDepartment of Family Medicine, Far Eastern Memorial Hospital, New Taipei City 220, Taiwan.
Yong-Xiang ZhengDepartment of Public Health, National Taiwan University College of Public Health, Taipei 100, Taiwan.ORCID 0009-0006-7278-6438
Heng-Fu LinDivision of Trauma, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City 220, Taiwan.ORCID 0000-0002-5466-9231
Hsiao-Yu YangInstitute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei 100, Taiwan.ORCID 0000-0001-5298-2462

Funding

Far Eastern Memorial Hospital FEMH-2020-C-044Ministry of Education in Taiwan NTU-114L9004National Science and Technology Council of Taiwan NSTC 113-2813-C-002 -168 -B and 113-2314-B-002-187-MY3
6 · The paper itself

Abstract

(1) Background: Colorectal cancer is one of the leading causes of cancer-related death, while early detection decreases incidence and mortality. Current screening programs involving fecal immunological testing and colonoscopy commonly bring about unnecessary colonoscopies, which adds burden to healthcare systems. The objective of this study was to provide an assessment of the diagnostic performance of an electronic nose serving as a complementary screening tool to improve current screening programs in clinical settings. (2) Methods: We conducted a case-control study that included patients from a medical center with colorectal cancer and non-colorectal cancer controls. We analyzed the composition of volatile organic compounds in their exhaled breath using the electronic nose. We then used machine learning algorithms to develop predictive models and provided the estimated accuracy and reliability of the breath testing. (3) Results: We enrolled 77 patients, with 40 cases and 37 controls. The area under the curve, Kappa coefficient, sensitivity, and specificity of the selected model were 0.87 (95% CI 0.76-0.95), 0.66 (95% CI 0.49-0.83), 0.81, and 0.85. For subjects at an early stage of disease, the sensitivity and specificity were 0.90 and 0.85. Excluding smokers, the sensitivity and specificity were 0.88 and 0.92. (4) Conclusions: This study highlights the promising potential of breath testing using an electronic nose for enabling early detection and reducing unnecessary treatments. However, more independent data for external validation are required to ensure applicability and generalizability.

Indexed as

Colorectal NeoplasmsElectronic NoseAgedBreath TestsCase-Control StudiesEarly Detection of CancerFemaleHumansMaleMiddle AgedVolatile Organic CompoundsVolatile Organic Compoundsbreathomicsbreath testingcolorectal cancerelectronic nosemachine learningvolatile organic compounds

Identifiers

PMID39996984
PMCPMC11852643

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.