Evidence map›Paper›PMID 35194967›Full record

ReviewDrug testing and analysis2022

Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues.

Bethany Keen, Adam Cawley, Brian Reedy, Shanlin Fu

Abstract readReview
In one paragraph

Review in Drug testing and analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Bethany KeenCentre for Forensic Science, University of Technology Sydney, Broadway, New South Wales, Australia.ORCID https://orcid.org/0000-0002-1955-2951
Adam CawleyAustralian Racing Forensic Laboratory, Racing NSW, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3442-8617
Brian ReedySchool of Mathematical and Physical Sciences, University of Technology Sydney, Broadway, New South Wales, Australia.
Shanlin FuCentre for Forensic Science, University of Technology Sydney, Broadway, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6238-3612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is a multidisciplinary field providing workflows for complementary approaches to conventional analytical determinations. It allows for the study of metabolically related groups of compounds or even the study of novel pathways within the biological system. The procedural stages of metabolomics; experimental design, sample preparation, analytical determinations, data processing and statistical analysis, compound identification and validation strategies are explored in this review. The selected approach will depend on the type of study being conducted. Experimental design influences the whole metabolomics workflow and thus needs to be properly assessed to ensure sufficient sample size, minimal introduced and biological variation and appropriate statistical power. Sample preparation needs to be simple, yet potentially global in order to detect as many compounds as possible. Analytical determinations need to be optimised either for the list of targeted compounds or a universal approach. Data processing and statistical analysis approaches vary widely and need to be better harmonised for review and interpretation. This includes validation strategies that are currently deficient in many presented workflows. Common compound identification approaches have been explored in this review. Metabolomics applications are discussed for clinical and forensic toxicology, human and equine sports anti-doping and veterinary residues.

Indexed as

Doping in SportsSportsAnimalsForensic ToxicologyHorsesMetabolomicsWorkflowanti-dopingequinemetabolomicstoxicologyveterinary residues

Identifiers

PMID35194967
PMCPMC9544538

What Socratic 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 Socratic graph.