Evidence map›Paper›PMID 36673067›Full record

ArticleDiagnostics (Basel, Switzerland)2023

VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma.

Thanikan Sukaram, Terapap Apiparakoon, Thodsawit Tiyarattanachai, Darlene Ariyaskul, Kittipat Kulkraisri, Sanparith Marukatat, Rungsun Rerknimitr, Roongruedee Chaiteerakij

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Integrative geno-metabolomics of tenasserim turmeric (Computational and structural biotechnology journal · 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

8 authors.

Thanikan SukaramProgram in Medical Sciences, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Terapap ApiparakoonDepartment of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
Thodsawit TiyarattanachaiFaculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0001-5888-170X
Darlene AriyaskulFaculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Kittipat KulkraisriFaculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Sanparith MarukatatImage Processing and Understanding Team, Artificial Intelligence Research Group, National Electronics and Computer Technology Center (NECTEC), Pathum Thani 12120, Thailand.
Rungsun RerknimitrDivision of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Roongruedee ChaiteerakijDivision of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

Funding

National Research Council of Thailand (NRCT) N42A640330The Second Century Fund (C2F), Chulalongkorn University
6 · The paper itself

Abstract

backgroundVolatile organic compound (VOC) profiles as biomarkers for hepatocellular carcinoma (HCC) are understudied. We aimed to identify VOCs from the exhaled breath for HCC diagnosis and compare the performance of VOCs to alpha-fetoprotein (AFP). The performance of VOCs for predicting treatment response and the association between VOCs level and survival of HCC patients were also determined.

methodsVOCs from 124 HCC patients and 219 controls were identified using the XGBoost algorithm. ROC analysis was used to determine VOCs performance in differentiating HCC patients from controls and in discriminating treatment responders from non-responders. The association between VOCs and the survival of HCC patients was analyzed using Cox proportional hazard analysis.

resultsThe combination of 9 VOCs yielded 70.0% sensitivity, 88.6% specificity, and 75.0% accuracy for HCC diagnosis. When differentiating early HCC from cirrhotic patients, acetone dimer had a significantly higher AUC than AFP, i.e., 0.775 vs. 0.714, respectively,

conclusionsAnalysis of VOCs is a feasible noninvasive test for diagnosing and monitoring HCC treatment response.

Indexed as

biomarkersbreath samplescancer diagnosisField Asymmetric Ion Mobility Spectrometry (FAIMS)machine learningvolatile organic compounds (VOCs)

Identifiers

PMID36673067
PMCPMC9858163

What OpenQuestion holds

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LicenceCC BY
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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.