Evidence map›Paper›PMID 39497175›Full record

SynthesisArthritis research & therapy2024

Associations between biomarkers and skeletal muscle function in individuals with osteoarthritis: a systematic review and meta-analysis.

Stephanie L Smith, Lorna Paul, Martijn P M Steultjens, Rebecca L Jones

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Arthritis research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Stephanie L SmithPain Centre Versus Arthritis, Advanced Pain Discovery Platform, University of Nottingham, Nottingham, UK. stephanie.smith2@nottingham.ac.uk.ORCID 0000-0002-3365-0144
Lorna PaulResearch Centre for Health (ReaCH), School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.ORCID 0000-0003-2869-0309
Martijn P M SteultjensResearch Centre for Health (ReaCH), School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.ORCID 0000-0002-9243-170X
Rebecca L JonesHealth Advancement Research Team (HART), School of Sport and Exercise Science, University of Lincoln, Lincoln, UK.ORCID 0000-0001-9657-9448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSkeletal muscle dysfunction is the primary cause of functional limitations in osteoarthritis, associated biomarkers have the potential as targets for early disease identification, diagnosis, and prevention of osteoarthritis disability. This review aimed to identify associations between biomarkers and lower limb skeletal muscle function in individuals with osteoarthritis.

methodsA systematic literature review and meta-analysis conducted in PubMed, MEDLINE, CINAHL, EMBASE, Scopus, SPORTDiscus and Web of Science databases from inception to 8

resultsTwenty-four studies with 4101 participants with osteoarthritis were included (females: 78%; age range; 49 to 71 years). One study reported muscle-specific biomarkers (n = 3), whilst six studies reported osteoarthritis-specific markers (n = 5). Overall, 93 biomarkers were reported, predominately characterised as inflammatory (n = 35), metabolic (n = 15), and hormones (n = 10). Muscle strength and vitamin D reported a significant association (Hedge's g: 0.58 (Standard Error (SE): 0.27; P = 0.03), k = 3 studies). Walking speed and high-sensitivity C-reactive protein reported no significant associations (Hedge's g: -0.02 (SE: 0.05; P = 0.73), k = 3 studies).

conclusionAssociations between biomarkers and lower limb skeletal muscle function in individuals with osteoarthritis was limited, the few studies exploring lower limb muscle measures were mainly secondary outcomes. Furthermore, biomarkers were largely related to overall health, with a lack of muscle specific biomarkers. As such, the mechanistic pathways through which these associations occur are less evident, and difficult to draw clear conclusions on these relationships.

trial registrationRegistered on PROSPERO (CRD42022359405).

Indexed as

BiomarkersMuscle, SkeletalOsteoarthritisAgedFemaleHumansMaleMiddle AgedMuscle StrengthBiomarkersBiochemical markersBiological markersDisabilityFunctionGeneticsInflammationLower limbMetabolicMuscle strength

Identifiers

PMID39497175
PMCPMC11536556

What OpenQuestion holds

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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.