Evidence map›Paper›PMID 41563355›Full record

ArticleThe Analyst2026

Systematic evaluation of pre-analytical variables on synovial fluid metabolomic profiles using GC-ToF-MS and UHPLC-MS.

Yumna Ladha, Adam Burke, Nigel Gotts, Royston Goodacre, Karina Wright, Jade Perry, Charlotte H Hulme

Abstract read
In one paragraph

Article in The Analyst, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yumna LadhaOswestry Keele Orthopaedic Research Group (OsKOR), Robert Jones and Agnes Hunt Orthopaedic Hospital Foundation Trust, Oswestry, Shropshire, UK. c.hulme1@keele.ac.uk.ORCID http://orcid.org/0009-0005-3921-8909
Adam BurkeCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Nigel GottsCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Royston GoodacreCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0003-2230-645X
Karina WrightOswestry Keele Orthopaedic Research Group (OsKOR), Robert Jones and Agnes Hunt Orthopaedic Hospital Foundation Trust, Oswestry, Shropshire, UK. c.hulme1@keele.ac.uk.
Jade PerryOswestry Keele Orthopaedic Research Group (OsKOR), Robert Jones and Agnes Hunt Orthopaedic Hospital Foundation Trust, Oswestry, Shropshire, UK. c.hulme1@keele.ac.uk.
Charlotte H HulmeOswestry Keele Orthopaedic Research Group (OsKOR), Robert Jones and Agnes Hunt Orthopaedic Hospital Foundation Trust, Oswestry, Shropshire, UK. c.hulme1@keele.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synovial fluid is a clinically valuable biofluid for studying joint diseases through metabolomic analysis. However, given the viscoelastic nature of this biofluid its analysis is challenging. Indeed, the lack of standardised pre-analytical processing protocols for synovial fluid metabolomics potentially introduces significant variability that can compromise data reliability and hinder the application/interpretation of results. This study systematically assesses how common sample handling variables including sample dilution, freeze-thaw cycling, blood staining and viscosity reduction (

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomicsSynovial FluidAnimalsChromatography, High Pressure LiquidHumans

Identifiers

PMID41563355
PMCPMC12822660

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Registered trials

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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.