Evidence map›Paper›PMID 40240795›Full record

ArticleScientific reports2025

Efficient detection of gastric cancer biomarkers on functionalized carbon nanoribbons using DFT analysis.

Ibrahim Alghoul, Tanveer Hussain, Shahid Nazir, Nacir Tit

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ibrahim AlghoulDepartment of Physics, College of Science, UAE University, P.O. Box 15551, Al-Ain, United Arab Emirates.
Tanveer HussainSchool of Science and Technology, University of New England, Armidale, NSW, 2351, Australia.
Shahid NazirSchool of Science and Technology, University of New England, Armidale, NSW, 2351, Australia.
Nacir TitDepartment of Physics, College of Science, UAE University, P.O. Box 15551, Al-Ain, United Arab Emirates. ntit@uaeu.ac.ae.

Funding

National Water Center, United Arab Emirates University 12R162
6 · The paper itself

Abstract

Early diagnosis of gastric cancer (GC) is crucially important to initiate a therapy plan aiming at rescue and cure. In this regard, the detection of volatile organic compounds (VOCs), related to GC in the patient's exhaled breath, is known to be an efficient and cost-effective technique for early diagnosis. The scope of the present study is to develop a nano-biosensor with great sensitivity and suitable selectivity towards specific VOCs related to GC, such as 2-pentanone, butanone, isoprene, methylglyoxal, N-decanal, N-pentanal, and pyridine. We employed van der Waals corrected density functional theory (DFT) to study the adsorption properties of the mentioned VOCs along with interfering air molecules (N

Indexed as

Biomarkers, TumorBiosensing TechniquesCarbonNanotubes, CarbonStomach NeoplasmsVolatile Organic CompoundsAdsorptionBreath TestsDensity Functional TheoryHumansBiomarkers, TumorCarbonNanotubes, CarbonVolatile Organic Compounds

Identifiers

PMID40240795
PMCPMC12003821

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.