Evidence map›Paper›PMID 29572531›Full record

Trial reportScientific reports2018

Cross-platform mass spectrometry annotation in breathomics of oesophageal-gastric cancer.

Sung-Tong Chin, Andrea Romano, Sophie L F Doran, George B Hanna

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Metabolomics and Biomarker Discovery.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
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  10. Article
  11. Review
  12. Article
  13. Observational
  14. Biological Applications for LC-MS-Based Proteomics.Advances in experimental medicine and biology · 2021
    Article
  15. Review
  16. 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.

Sung-Tong ChinDepartment of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom.
Andrea RomanoDepartment of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom.
Sophie L F DoranDepartment of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom.
George B HannaDepartment of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom. g.hanna@imperial.ac.uk.ORCID 0000-0003-2897-0140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease breathomics is gaining importance nowadays due to its usefulness as non-invasive early cancer detection. Mass spectrometry (MS) technique is often used for analysis of volatile organic compounds (VOCs) associated with cancer in the exhaled breath but a long-standing challenge is the uncertainty in mass peak annotation for potential volatile biomarkers. This work describes a cross-platform MS strategy employing selected-ion flow tube mass spectrometry (SIFT-MS), high resolution gas chromatography-mass spectrometry (GC-MS) retrofitted with electron ionisation (EI) and GC-MS retrofitted with positive chemical ionisation (PCI) as orthogonal analytical approaches in order to provide facile identification of the oxygenated VOCs from breath of cancer patients. In addition, water infusion was applied as novel efficient PCI reagent in breathomics analysis, depicting unique diagnostic ions M

Indexed as

Esophageal NeoplasmsGas Chromatography-Mass SpectrometryModels, BiologicalStomach NeoplasmsAdultBreath TestsFemaleHumansMaleMiddle AgedVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID29572531
PMCPMC5865157

What OpenQuestion holds

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LicenceCC BY
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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.