Evidence map›Paper›PMID 36456991›Full record

ReviewBiological procedures online2022

The untargeted urine volatilome for biomedical applications: methodology and volatilome database.

Maria Llambrich, Jesús Brezmes, Raquel Cumeras

Open access · goldAbstract readReview
In one paragraph

Review in Biological procedures online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 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.

Maria LlambrichDepartment of Electrical Electronic Engineering and Automation, Universitat Rovira I Virgili, 43007, Tarragona, Spain.
Jesús BrezmesDepartment of Electrical Electronic Engineering and Automation, Universitat Rovira I Virgili, 43007, Tarragona, Spain. jesus.brezmes@urv.cat.
Raquel CumerasDepartment of Electrical Electronic Engineering and Automation, Universitat Rovira I Virgili, 43007, Tarragona, Spain.
Institut de Recerca Biomèdica Catalunya Sud · ES

Funding

H2020 Marie Skłodowska-Curie Actions 798038Ministerio de Economía y Competitividad ref. RTI2018-098577-B-C21Programa Martí i Franques - Universitat Rovira i Virgili 2019PMF-PIPF-37
6 · The paper itself

Abstract

Chemically diverse in compounds, urine can give us an insight into metabolic breakdown products from foods, drinks, drugs, environmental contaminants, endogenous waste metabolites, and bacterial by-products. Hundreds of them are volatile compounds; however, their composition has never been provided in detail, nor has the methodology used for urine volatilome untargeted analysis. Here, we summarize key elements for the untargeted analysis of urine volatilome from a comprehensive compilation of literature, including the latest reports published. Current achievements and limitations on each process step are discussed and compared. 34 studies were found retrieving all information from the urine treatment to the final results obtained. In this report, we provide the first specific urine volatilome database, consisting of 841 compounds from 80 different chemical classes.

Indexed as

BiomedicalDatabaseMetabolomicsMethodologyUntargeted analysisUrineVolatilome

Identifiers

PMID36456991
PMCPMC9714113
OpenAlexW4310531194

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.