ReviewDrug testing and analysis2022
Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues.
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.
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.
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.
Who cites it
7 citing papers in PubMed.
- Integrating Advanced Metabolomics and Machine Learning for Anti-Doping in Human Athletes.Metabolites · 2025Review
- Administration Route Differentiation of Altrenogest via the Metabolomic LC-HRMS Analysis of Equine Urine.Molecules (Basel, Switzerland) · 2024Article
- COVID-19 and Comorbidities: What Has Been Unveiled by Metabolomics?Metabolites · 2024Review
- Advances in testing for sample manipulation in clinical and forensic toxicology - Part A: urine samples.Analytical and bioanalytical chemistry · 2023Review
- Comparison of muscle metabolomics between two Chinese horse breeds.Frontiers in veterinary science · 2023Article
- Metabolomic Profiles in Starved Light Breed Horses during the Refeeding Process.Animals : an open access journal from MDPI · 2022Article
- Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues.Drug testing and analysis · 2022Review
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What Socratic holds
Registered trials
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.