Evidence map›Paper›PMID 26822454›Full record

ArticleScientific reports2016

A profile of volatile organic compounds in exhaled air as a potential non-invasive biomarker for liver cirrhosis.

Kirsten E Pijls, Agnieszka Smolinska, Daisy M A E Jonkers, Jan W Dallinga, Ad A M Masclee, Ger H Koek, Frederik-Jan van Schooten

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Breath volatile profiling reveals a diagnostic signature of MASLD in children.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Review
  4. Systematic comparison of methods for offline breath sampling.Analytical and bioanalytical chemistry · 2025
    Article
  5. Review
  6. Review
  7. Alteration of Plasma Indoles in Polycystic Ovary Syndrome.Reproductive sciences (Thousand Oaks, Calif.) · 2024
    Article
  8. Article
  9. Article
  10. Breath BiopsyJournal of clinical and translational hepatology · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

7 authors at 1 institution in 1 country.

Kirsten E PijlsDivision Gastroenterology-Hepatology, Department of Internal Medicine, School for Nutrition and Metabolism Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Agnieszka SmolinskaDepartment of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Daisy M A E JonkersDivision Gastroenterology-Hepatology, Department of Internal Medicine, School for Nutrition and Metabolism Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Jan W DallingaDepartment of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Ad A M MascleeDivision Gastroenterology-Hepatology, Department of Internal Medicine, School for Nutrition and Metabolism Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Ger H KoekDivision Gastroenterology-Hepatology, Department of Internal Medicine, School for Nutrition and Metabolism Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Frederik-Jan van SchootenDepartment of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Maastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of liver cirrhosis may prevent progression and development of complications. Liver biopsy is the current standard, but is invasive and associated with morbidity. We aimed to identify exhaled volatiles within a heterogeneous group of chronic liver disease (CLD) patients that discriminates those with compensated cirrhosis (CIR) from those without cirrhosis, and compare this with serological markers. Breath samples were collected from 87 CLD and 34 CIR patients. Volatiles in exhaled air were measured by gas chromatography mass spectrometry. Discriminant Analysis was performed to identify the optimal panel of serological markers and VOCs for classifying our patients using a random training set of 27 CIR and 27 CLD patients. Two randomly selected independent internal validation sets and permutation test were used to validate the model. 5 serological markers were found to distinguish CIR and CLD patients with a sensitivity of 0.71 and specificity of 0.84. A set of 11 volatiles discriminated CIR from CLD patients with sensitivity of 0.83 and specificity of 0.87. Combining both did not further improve accuracy. A specific exhaled volatile profile can predict the presence of compensated cirrhosis among CLD patients with a higher accuracy than serological markers and can aid in reducing liver biopsies.

Indexed as

ExhalationVolatile Organic CompoundsAdolescentAdultAgedBiomarkersCase-Control StudiesFemaleHumansLiver CirrhosisLiver DiseasesMaleMiddle AgedROC CurveYoung AdultBiomarkersVolatile Organic Compounds

Identifiers

PMID26822454
PMCPMC4731784
OpenAlexW2276212437

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.