Evidence map›Paper›PMID 42180142›Full record

ArticleOsteoarthritis and cartilage open2026

Early detection of knee osteoarthritis - The role of a composite disease activity metric: Data from the Osteoarthritis Initiative.

Julieann C Patarini, Timothy E McAlindon, Jonggyu Baek, Emily Kirillov, Nhung Vo, Michael J Richard, Ming Zhang, Matthew S Harkey, Grace H Lo, Shao-Hsien Liu and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoarthritis and cartilage open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Julieann C PatariniDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Timothy E McAlindonDivision of Rheumatology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Jonggyu BaekDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Emily KirillovDivision of Rheumatology, Allergy, & Immunology, Tufts Medical Center, Boston, MA, USA.
Nhung VoDivision of Rheumatology, Allergy, & Immunology, Tufts Medical Center, Boston, MA, USA.
Michael J RichardDivision of Rheumatology, Allergy, & Immunology, Tufts Medical Center, Boston, MA, USA.
Ming ZhangDepartment of Computer Science, Boston University, Boston, MA, USA.
Matthew S HarkeyDepartment of Kinesiology, Michigan State University, East Lansing, MI, USA.
Grace H LoDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Shao-Hsien LiuDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Kate LapaneDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Charles B EatonCenter for Primary Care and Prevention, Kent Hospital, Pawtucket, RI, USA.
Jamie MacKayDepartment of Radiology, University of Cambridge, Cambridge, UK.
Jeffrey B DribanDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate whether dynamic disease processes in the knee (effusion-synovitis volume and bone marrow lesions; BML), summarized by a validated efficient continuous composite metric, are prognostic of incident symptomatic knee OA (sxKOA) over the subsequent three years. Methods: We analyzed knee magnetic resonance (MR) images from a sample of Osteoarthritis Initiative participants without sxKOA using a previously validated osteoarthritis disease activity metric that provides a normalized continuous score reflecting effusion-synovitis and BML volumes throughout the knee. The outcome was incident sxKOA during the subsequent three years, defined by the report of frequent knee pain and presence of radiographic OA (Kellgren-Lawrence grade ≥2). We used a modified Poisson model to assess the association between disease activity (continuous measures; relative risk [RR] per 1 unit of measure) and incident sxKOA, adjusting for gender, age, and body mass index. Results: Among 913 knees (572 participants; 56% female; mean (SD): 61 (9) years of age), disease activity ranged from -3.83 to 24.79 (higher values = greater pathology). Knees with greater disease activity (RR = 1.08 per 1 unit of disease activity [95% confidence interval: 1.04-1.11]) had a greater risk of incident sxKOA. Conclusion: Effusion-synovitis and BML volumes - represented by a validated composite score - predict the future incidence of sxKOA. This finding indicates that dynamic pathophysiologic processes are operative in knees before sxKOA becomes overt. This scenario could represent early knee OA. Moreover, the pathophysiological processes represented by effusion-synovitis and BMLs on MR images, much of which are probably inflammatory, could suggest therapeutic targets for preventive intervention.

Indexed as

Bone marrow lesionsEffusion synovitisKneeMagnetic resonance imaging

Identifiers

PMID42180142
PMCPMC13196552

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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.