Evidence map›Paper›PMID 40977252›Full record

ArticleACR open rheumatology2025

Magnetic Resonance Imaging Biomarkers of Knee Osteoarthritis Progression.

Jamie E Collins, Peter Mesenbrink, Rui Jin, Erik B Dam, Leticia A Deveza, Felix Eckstein, Ali Guermazi, Christoph Ladel, Thomas A Perry, Douglas Robinson and 5 more

Abstract read
In one paragraph

Article in ACR open rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Jamie E CollinsBrigham and Women's Hospital, Boston, Massachusetts.ORCID https://orcid.org/0000-0001-8413-007X
Peter MesenbrinkNovartis Pharmaceuticals Corporation, East Hanover, New Jersy.
Rui JinNovartis Pharmaceuticals Corporation, East Hanover, New Jersy.
Erik B DamMachine Learning Section, Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Leticia A DevezaSydney Musculoskeletal Health, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-2766-7142
Felix EcksteinCenter for Anatomy and Cell Biology and Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University, Salzburg, Austria, and Chondrometrics GmbH, Freilassing, Germany.
Ali GuermaziBoston University School of Medicine, Boston, and Veterans Affairs Boston Healthcare System, West Roxbury, Massachusetts.
Christoph LadelCHL4special consultancy, Darmstadt, Germany.
Thomas A PerryCentre for OA Pathogenesis Versus Arthritis, Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-0499-3033
Douglas RobinsonEMD Serono, Billerica, Massachusetts.
Frank W RoemerBoston University School of Medicine, Boston, Massachusetts, and Department of Radiology, Universitätsklinikum Erlangen & Friedrich Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID https://orcid.org/0000-0001-9238-7350
Christopher J SwearingenBiometrics, Biosplice Therapeutics, Inc., San Diego, California.
Wolfgang WirthCenter for Anatomy and Cell Biology and Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University, Salzburg, Austria, and Chondrometrics GmbH, Freilassing, Germany.
Virginia B KrausDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina.
David J HunterSydney Musculoskeletal Health, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-3197-752X

Funding

ARTHFNBiosplice Therapeutics IncMerck KGaANovartisPfizer
6 · The paper itself

Abstract

objectiveThe Foundation for the National Institutes of Health (FNIH) OA Biomarkers Consortium aims to identify, develop, and qualify biomarkers to support drug development in knee osteoarthritis (OA). The project's second phase, the PROGRESS OA study, aims to externally validate prognostic and response biomarkers identified in the earlier phase (phase 1). Here we present results assessing external validation of prognostic imaging biomarkers.

designPROGRESS OA included data from the control arms of several completed randomized controlled trials (RCTs) for symptomatic knee OA. Radiographic progression was defined as joint space width loss (JSWL) ≥0.7 mm. Symptomatic progression was defined as increase of nine or more points in Western Ontario and McMaster Universities Arthritis Index pain (0-100 scale). Imaging biomarkers included quantitative measures of cartilage thickness and semiquantitative (SQ) assessments. Associations between baseline biomarkers and outcomes over 12 to 36 months were examined using logistic regression.

resultsA total of 320 participants from four RCTs were included. Forty-one participants (13%) had JSWL ≥0.7 mm and 64 (20%) had worsening symptoms. In univariable logistic regression, measures of quantitative and SQ cartilage, SQ Hoffa-synovitis, effusion-synovitis, and meniscal extrusion were consistently selected to predict JSWL ≥0.7 mm, similar to phase 1. SQ Hoffa-synovitis and lateral meniscal damage were consistently selected to predict symptomatic progression. Cross-validated areas under the curve were 0.69 (95% confidence interval [CI]: 0.53-0.85) for JSWL ≥0.7 mm and 0.77 (95% CI: 0.65-0.87) for symptomatic progression.

conclusionThe selected prognostic imaging biomarkers are candidates for enriching OA trials for structural and/or symptomatic progressors. Ongoing work includes pursuit of formal biomarker qualification by regulatory agencies, and the use of these biomarkers to capture structural progression with high sensitivity to change.

Identifiers

PMID40977252
PMCPMC12451203

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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.