Evidence map›Paper›PMID 40105347›Full record

ReviewCartilage2026

Comparing Five Major Knee Osteoarthritis Cohort Studies: Similarities, Differences, and Unique Aspects of CHECK, OAI, FNIH, IMI-APPROACH, and MOST.

Mariia Oliinyk, Simon C Mastbergen, Anne Karien C A Marijnissen, David T Felson, David J Hunter, Micheal C Nevitt, Harrie Weinans, Mylène P Jansen

Abstract readReviewComparative Study
In one paragraph

Review in Cartilage, 2026. 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. Article
  2. 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

8 authors.

Mariia OliinykDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-1327-5973
Simon C MastbergenDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-8825-6486
Anne Karien C A MarijnissenDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-4464-8493
David T FelsonSchool of Medicine, Boston University, Boston, MA, USA.
David J HunterSydney Musculoskeletal Health, Kolling Institute, The University of Sydney, Sydney, NSW, Australia.
Micheal C NevittDepartment of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Harrie WeinansDepartment of Orthopedics, University Medical Center Utrecht, Utrecht, The Netherlands.
Mylène P JansenDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-1929-6350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo analyze and synthesize the information available from five pivotal, large-scale, multicenter, observational studies (CHECK, OAI, FNIH Biomarkers Consortium, IMI-APPROACH, and MOST) focusing on knee osteoarthritis (OA), which can be used to elucidate disease progression, risk factors, and the effectiveness of potential interventions.DesignFor this narrative review, a comprehensive literature search and data extraction from official web pages and scientific databases were conducted to compare methodologies, in- and exclusion criteria, outcomes, and cohort characteristics across the studies. Thematic, comparative, and qualitative analyses were employed to identify trends, commonalities, and disparities among the findings.ResultsThe studies collectively enhanced understanding of the onset and progression of knee OA, and in several of the studies, hip OA, emphasizing the importance of both systemic and local risk factors. Advanced imaging and biomarkers are important components in all the cohorts, with the goal of aiding early diagnosis and tracking disease progression. All cohorts evaluated unique markers generally not available in the other cohorts, while other factors overlap, suggesting possibilities for combining or cross-validating between cohorts.ConclusionsThe collaborative efforts of major OA research significantly advance our understanding of knee OA. These studies highlight the importance of a multifaceted approach, integrating advanced imaging, biomarkers, and longitudinal data to tackle the complexities of OA. By synthesizing findings and addressing knowledge gaps such as heterogeneity of patients and used measurements, and use of novel pain measures, future research can develop more effective diagnostic tools and treatments, ultimately enhancing the quality of life for OA patients.

Indexed as

Osteoarthritis, KneeBiomarkersCohort StudiesDisease ProgressionHumansMulticenter Studies as TopicObservational Studies as TopicRisk FactorsBiomarkerscohortknee osteoarthritismulticenternarrative reviewobservational

Identifiers

PMID40105347
PMCPMC11924058

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.