Evidence map›Paper›PMID 39979538›Full record

ArticleScientific reports2025

Gender-differences in imaging phenotypes of osteoarthritis in the osteoarthritis initiative.

Virginie Kreutzinger, Katharina Ziegeler, Gabby B Joseph, John A Lynch, Nancy E Lane, Charles E McCulloch, Michael Nevitt, Thomas M Link

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. 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

8 authors.

Virginie KreutzingerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA. Virginie.kreutzinger@ucsf.edu.
Katharina ZiegelerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Gabby B JosephDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
John A LynchDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Nancy E LaneDepartment of Medicine, Center for Musculoskeletal Health, University of California, Davis, Sacramento, CA, USA.
Charles E McCullochDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Michael NevittDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Thomas M LinkDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
Understanding the mechanisms by which weight change affects progression of knee osteoarthritis in obese and overweight individuals: An analysis of the Osteoarthritis Initiative DatasetR01AR078917 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GABRIELLE JOSEPH, THOMAS M LINK · 2021 to 2026
$3.4M
Impact of Weight loss on Knee Joint Biochemical and Structural DegenerationR01AR064771 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINK, THOMAS M · 2014 to 2019
$1.6M
NIAMS NIH HHS P30 AR075055NIAMS NIH HHS R01 AR064771NIAMS NIH HHS R01 AR078917NIH HHS R01-AR064771NIH HHS R01-AR078917
6 · The paper itself

Abstract

In osteoarthritis (OA) research it is increasingly recognized that stratification according to disease phenotypes is essential for optimizing treatment regimens. Gender-specific differences in clinical OA manifestations have been identified, and this analysis aimed to assess whether these differences extend to imaging phenotypes.From the Osteoarthritis Initiative database 2523 participants (1409 women and 1114 men) with completed 3T MRI and whole-organ magnetic resonance imaging scores (WORMS) of the right knee at baseline were included. Imaging phenotypes were assigned based on modified Rapid OsteoArthritis MRI Eligibility Score: the inflammatory, meniscus-cartilage, and bone phenotype. Logistic regression was performed to investigate the effect of gender on phenotype, independent of BMI, race, Kellgren & Lawrence (KL) grade and level of physical activity. Female gender was independently associated with lower odds for the meniscus-cartilage (OR 0.61, 95%CI 0.47-0.80, p < 0.001) but not for the inflammatory (OR 1.04, 95%CI 0.89-1.24, p = 0.697) or the subchondral bone phenotype (OR 1.13, 95%CI 0.95-1.36, p = 0.166). This difference highlights an opportunity for future refinements to better accommodate gender/sex differences in disease trajectories while investigating different treatment regimes in knee OA.

Indexed as

OsteoarthritisOsteoarthritis, KneeAgedCartilage, ArticularFemaleHumansKnee JointMagnetic Resonance ImagingMaleMiddle AgedPhenotypeSex FactorsKnee osteoarthritisMagnetic resonance imagingSex-differences

Identifiers

PMID39979538
PMCPMC11842562

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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.