Evidence map›Paper›PMID 38238803›Full record

ArticleArthritis research & therapy2024

Association of biochemical markers with bone marrow lesion changes on imaging-data from the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium.

Shirley P Yu, Leticia A Deveza, Virginia B Kraus, Morten Karsdal, Anne-Christine Bay-Jensen, Jamie E Collins, Ali Guermazi, Frank W Roemer, Christoph Ladel, Venkatesha Bhagavath and 1 more

Open access · goldAbstract read
In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Shirley P YuDepartment of Rheumatology, Royal North Shore Hospital, Reserve Road, St Leonards, Sydney, NSW, 2065, Australia. shirleyyu@uni.sydney.edu.au.ORCID 0000-0002-2223-2182
Leticia A DevezaDepartment of Rheumatology, Royal North Shore Hospital, Reserve Road, St Leonards, Sydney, NSW, 2065, Australia.
Virginia B KrausDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.
Morten KarsdalNordic Bioscience A/S, Herlev, Denmark.
Anne-Christine Bay-JensenNordic Bioscience A/S, Herlev, Denmark.
Jamie E CollinsOrthopaedic and Arthritis Centre for Outcomes Research, Brigham and Women's Hospital, Boston, MA, USA.
Ali GuermaziChobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.
Frank W RoemerChobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.
Christoph LadelCHL4special Consulting, Darmstadt, Germany.
Venkatesha BhagavathSydney Musculoskeletal Health, The Kolling Institute, School of Medicine, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
David J HunterDepartment of Rheumatology, Royal North Shore Hospital, Reserve Road, St Leonards, Sydney, NSW, 2065, Australia.
The University of Sydney · AUBoston University · USNordic Bioscience (Denmark) · DKBrigham and Women's Hospital · USDuke University · USRoyal North Shore Hospital · AU

Funding

Data-driven approaches in defining knee osteoarthritis phenotypes and factorsassociated with fast progressionK01AR075879 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COLLINS, JAMIE E. · 2020 to 2023
$524k
NIAMS NIH HHS K01 AR075879NIH HHS NIAMS K01AR075879
6 · The paper itself

Abstract

backgroundTo assess the prognostic value of short-term change in biochemical markers as it relates to bone marrow lesions (BMLs) on MRI in knee osteoarthritis (OA) over 24 months and, furthermore, to assess the relationship between biochemical markers involved with tissue turnover and inflammation and BMLs on MRI.

methodsData from the Foundation for the National Institutes of Health OA Biomarkers Consortium within the Osteoarthritis Initiative (n = 600) was analyzed. BMLs were measured according to the MRI Osteoarthritis Knee Score (MOAKS) system (0-3), in 15 knee subregions. Serum and urinary biochemical markers assessed were as follows: serum C-terminal crosslinked telopeptide of type I collagen (CTX-I), serum crosslinked N-telopeptide of type I collagen (NTX-I), urinary CTX-Iα and CTX-Iβ, urinary NTX-I, urinary C-terminal cross-linked telopeptide of type II collagen (CTX-II), serum matrix metalloproteinase (MMP)-degraded type I, II, and III collagen (C1M, C2M, C3M), serum high sensitivity propeptide of type IIb collagen (hsPRO-C2), and matrix metalloproteinase-generated neoepitope of C-reactive protein (CRPM). The association between change in biochemical markers over 12 months and BMLs over 24 months was examined using regression models adjusted for covariates. The relationship between C1M, C2M, C3M, hsPRO-C2, and CRPM and BMLs at baseline and over 24 months was examined.

resultsIncreases in serum CTX-I and urinary CTX-Iβ over 12 months were associated with increased odds of changes in the number of subregions affected by any BML at 24 months. Increase in hsPRO-C2 was associated with decreased odds of worsening in the number of subregions affected by any BML over 24 months. C1M and C3M were associated with BMLs affected at baseline.

conclusionsShort-term changes in serum CTX-I, hsPRO-C2, and urinary CTX-Iβ hold the potential to be prognostic of BML progression on MRI. The association of C1M and C3M with baseline BMLs on MRI warrants further investigation.

Indexed as

Bone DiseasesOsteoarthritis, KneeBiomarkersBone MarrowCollagenCollagen Type IC-Reactive ProteinHumansMagnetic Resonance ImagingMatrix MetalloproteinasesBiomarkersCollagenCollagen Type IC-Reactive ProteinMatrix MetalloproteinasesBiomarkersBone marrow lesionsOsteoarthritis

Identifiers

PMID38238803
PMCPMC10795356
OpenAlexW4390977356

What OpenQuestion holds

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LicenceCC BY
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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.