Evidence map›Paper›PMID 26819529›Full record

ReviewWorld journal of gastroenterology2016

Diagnosing gastrointestinal illnesses using fecal headspace volatile organic compounds.

Daniel K Chan, Cadman L Leggett, Kenneth K Wang

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Innovative use ofFrontiers in veterinary science · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. The epithelialProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Daniel K ChanDaniel K Chan, Cadman L Leggett, Kenneth K Wang, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, United States.
Cadman L LeggettDaniel K Chan, Cadman L Leggett, Kenneth K Wang, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, United States.
Kenneth K WangDaniel K Chan, Cadman L Leggett, Kenneth K Wang, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, United States.
Mayo Clinic in Arizona · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Keith L. Knutson · 1985 to 2026
$151.3M
Weight loss-induced Microbiome and Adipokine Changes in Barrett's EsophagusU54CA163004 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABRAMS, JULIAN, RUSTGI, ANIL K · 2011 to 2022
$12.5M
Esophageal Cancer from Cells to Population: A Multiscale ApproachU01CA182940 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HUR, CHIN, INADOMI, JOHN MATTHEW · 2013 to 2017
$3.3M
NCI NIH HHS P30 CA015083NCI NIH HHS U01 CA182940NCI NIH HHS U54 CA163004
6 · The paper itself

Abstract

Volatile organic compounds (VOCs) emitted from stool are the components of the smell of stool representing the end products of microbial activity and metabolism that can be used to diagnose disease. Despite the abundance of hydrogen, carbon dioxide, and methane that have already been identified in human flatus, the small portion of trace gases making up the VOCs emitted from stool include organic acids, alcohols, esters, heterocyclic compounds, aldehydes, ketones, and alkanes, among others. These are the gases that vary among individuals in sickness and in health, in dietary changes, and in gut microbial activity. Electronic nose devices are analytical and pattern recognition platforms that can utilize mass spectrometry or electrochemical sensors to detect these VOCs in gas samples. When paired with machine-learning and pattern recognition algorithms, this can identify patterns of VOCs, and thus patterns of smell, that can be used to identify disease states. In this review, we provide a clinical background of VOC identification, electronic nose development, and review gastroenterology applications toward diagnosing disease by the volatile headspace analysis of stool.

Indexed as

Electronic NoseOdorantsAlgorithmsBiomarkersBiosensing TechniquesElectrochemical TechniquesFecesGastrointestinal DiseasesHumansMachine LearningMass SpectrometryPattern Recognition, AutomatedPredictive Value of TestsReproducibility of ResultsVolatile Organic CompoundsBiomarkersVolatile Organic CompoundsElectronic noseFecesMass spectrometryOdorsVolatile organic compounds

Identifiers

PMID26819529
PMCPMC4721995
OpenAlexW2410645647

What OpenQuestion holds

Textmetadata
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.