Evidence map›Paper›PMID 39702481›Full record

ArticleBMC research notes2024

'QuickDASH' to find unique genes and biological processes associated with shoulder osteoarthritis: a prospective case-control study.

Samuel J Lynskey, Stephen D Gill, Sean L McGee, Mark Ziemann, Richard S Page

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Shoulder and genetics: what orthopedic surgeons need to know.JSES reviews, reports, and techniques · 2026
    Review
  2. 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

5 authors.

Samuel J Lynskey *Department of Orthopaedic Surgery, Geelong University Hospital, Geelong, Australia. Samuel.lynskey@svha.org.au.
Stephen D Gill *Department of Orthopaedic Surgery, Geelong University Hospital, Geelong, Australia.
Sean L McGee *School of Medicine, Faculty of Health, Deakin University, Waurn Ponds, Geelong, VIC, Australia.
Mark Ziemann *School of Medicine, Faculty of Health, Deakin University, Waurn Ponds, Geelong, VIC, Australia.
Richard S Page *Department of Orthopaedic Surgery, Geelong University Hospital, Geelong, Australia.

Funding

Australian Orthopaedic Association 25-REG
6 · The paper itself

Abstract

objectiveOsteoarthritis (OA) is a disease impacting the synovial joint complex, yet transcriptional changes specific to shoulder OA remain underexplored. This study aims to profile transcriptomic changes in periarticular tissues from patients undergoing shoulder replacement for OA. By correlating these profiles with QuickDASH scores-a validated measure of worsening shoulder function-this research seeks to understand the gene expression changes associated with clinical decline. Capsular tissue biopsies from shoulder OA patients were compared with those from a control group undergoing shoulder stabilization for recurrent instability. This investigation forms part of a larger transcriptomic analysis of painful shoulder conditions which will address the current gap in knowledge regarding the molecular and genetic underpinnings of shoulder OA, rotator cuff tears and cuff-tear arthropathy.

resultsThe analysis revealed that genes most strongly associated with increasing QuickDASH scores across tissues were linked to inflammation and stress response. Key pathways involved interleukins, chemokines, complement components, nuclear response factors, and immediate early response genes, reflecting a balance between pro- and anti-inflammatory signalling. Additionally, this study identified unique gene expression patterns in shoulder OA not previously observed in hip and knee OA, along with novel genes implicated in shoulder OA, highlighting areas for future targeted investigation. Trial registration This investigation has been registered with the Australian New Zealand Clinical Trials Registry (ANZCTR), registered on the 26th of March 2018, registration number: 12618000431224, accessible from: https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374665&isReview=true.

Indexed as

OsteoarthritisAgedCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedProspective StudiesShoulder JointTranscriptomeGene expressionOsteoarthritisShoulderTranscriptomeTranscriptomics

Identifiers

PMID39702481
PMCPMC11657115

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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.