Evidence map›Paper›PMID 42200031›Full record

ArticleOsteoarthritis and cartilage open2026

Association between central obesity and MRI-based biomarkers of knee osteoarthritis independent of BMI: A cross-sectional study from the Osteoarthritis Initiative database.

Gabby B Joseph, Fatemeh Dehghani Firouzabadi, John A Lynch, Zehra Akkaya, Nancy E Lane, Michael C Nevitt, Charles E McCulloch, Thomas M Link

Abstract read
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. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gabby B JosephDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Fatemeh Dehghani FirouzabadiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
John A LynchDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Zehra AkkayaDepartment of Radiology, Ankara University, Ankara, Turkey.
Nancy E LaneDepartment of Rheumatology, University of California, Davis, USA.
Michael C NevittDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.
Charles E McCullochDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.
Thomas M LinkDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the association between measures of central obesity (waist circumference [WC] and waist-to-height ratio [WHtR]) and MRI-based biomarkers of knee osteoarthritis (KOA), including joint structure, cartilage composition, and synovial inflammation, independent of BMI. Design: A total of 3186 individuals from the Osteoarthritis Initiative (OAI) cohort with radiographic Kellgren-Lawrence grades 0-3 in the right knee were included. Cartilage composition and joint structural abnormalities were assessed using MRI-based T Results: Positive associations between WC and the severity of knee structural abnormalities (WORMS) were found, particularly for cartilage severity scores, even after adjusting for BMI (std. β = 0.093, 95% CI [0.036-0.149], p = 0.001). WC and WHtR were both positively associated with T Conclusions: Central obesity is associated with worse cartilage composition and structural abnormalities, independent of BMI. These findings have clinical implications, supporting the role of monitoring and addressing central obesity in the management of knee OA.

Indexed as

Body mass indexCentral adiposityKnee osteoarthritisMagnetic resonance imagingWaist circumferenceWaist-to-height ratio

Identifiers

PMID42200031
PMCPMC13199980

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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.