Evidence mapPaperPMID 42567403Full record

ArticleOsteoarthritis and cartilage2026

A comprehensive descriptive analysis of hip and knee radiographic osteoarthritis in the UK Biobank in relation to joint pain, joint site interrelationships, obesity, race and deprivation: Findings from 59,475 individuals.

Asad Hashmi, Sophie Scott, Mijin Jung, Fiona R Saunders, Raja Ebsim, Jennifer S Gregory, Liubov Arbeeva, Amanda E Nelson, Nicholas C Harvey, Claudia Lindner and 4 more

Abstract read
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Article in Osteoarthritis and cartilage, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Asad HashmiMusculoskeletal Research Unit, University of Bristol, UK. Electronic address: tc20694@bristol.ac.uk.
Sophie ScottMusculoskeletal Research Unit, University of Bristol, UK. Electronic address: sophie.scott.2020@bristol.ac.uk.
Mijin JungMusculoskeletal Research Unit, University of Bristol, UK; MRC Integrative Epidemiology Unit, University of Bristol, UK. Electronic address: ny23943@bristol.ac.uk.
Fiona R SaundersAberdeen Centre for Research Excellence in Musculoskeletal Health, University of Aberdeen, UK. Electronic address: f.r.saunders@abdn.ac.uk.
Raja EbsimDivision of Informatics, Imaging and Data Science, The University of Manchester, UK. Electronic address: raja.ebsim@manchester.ac.uk.
Jennifer S GregoryAberdeen Centre for Research Excellence in Musculoskeletal Health, University of Aberdeen, UK. Electronic address: j.gregory@abdn.ac.uk.
Liubov ArbeevaThurston Arthritis Research Centre, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: liubov_arbeeva@med.unc.edu.
Amanda E NelsonThurston Arthritis Research Centre, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: amanda_nelson@med.unc.edu.
Nicholas C HarveyMRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: nch@mrc.soton.ac.uk.
Claudia LindnerDivision of Informatics, Imaging and Data Science, The University of Manchester, UK. Electronic address: claudia.lindner@manchester.ac.uk.
Richard M AspdenAberdeen Centre for Research Excellence in Musculoskeletal Health, University of Aberdeen, UK. Electronic address: r.aspden@abdn.ac.uk.
Timothy CootesDivision of Informatics, Imaging and Data Science, The University of Manchester, UK. Electronic address: timothy.f.cootes@manchester.ac.uk.
Jonathan H TobiasMusculoskeletal Research Unit, University of Bristol, UK; MRC Integrative Epidemiology Unit, University of Bristol, UK. Electronic address: Jon.Tobias@bristol.ac.uk.
Benjamin G FaberMusculoskeletal Research Unit, University of Bristol, UK; MRC Integrative Epidemiology Unit, University of Bristol, UK. Electronic address: ben.faber@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with osteoarthritis (OA) affecting multiple joints experience greater pain than those with single-joint disease, yet most research examines isolated joints, leaving a gap in multi-joint disease. This study aimed to describe radiographic hip (rHOA) and knee OA (rKOA) within UK Biobank (UKB), exploring interrelationships across joints and associations with joint pain, body size, race and deprivation.

designThis cross-sectional study applied machine learning to hip and knee dual-energy X-ray absorptiometry scans. Radiographic OA (rOA) was defined as custom grades ≥2. Joint pain was assessed through self-reported questionnaires. Logistic regression models examined bilateral and cross-joint associations, as well as associations with joint pain. Adjustments were made for age, sex, race, height, weight and deprivation.

resultsAmong 59,475 individuals (mean age 65 years; range 45-85; SD 7.7; 52.8% female), rHOA prevalence was 4098 (6.9%, right-side) and 4841 (8.1%, left-side). The corresponding estimates for rKOA were 3750 (6.3%) and 4220 (7.1%). Overall, increasing grades of rOA and number of joints affected were more strongly associated with concurrent joint pain (four-joints: OR 4.3 [95%CI 2.6-7.2]). Regarding joint-interrelationships, bilateral associations were stronger at the knee (26.1 [24.1-28.2]) than the hip (5.6 [5.2-6.1]). Cross-joint associations (hip-knee) were weaker. BMI was more strongly associated with rKOA (1.57 [1.52-1.61]) than rHOA (1.05 [1.02-1.09]). Greater height was positively associated with rHOA but appeared protective for rKOA.

conclusionsRadiographic hip and knee OA exhibit distinct patterns of interrelationship, associations with symptoms and risk factors, suggesting heterogeneity in disease processes and the need for joint-specific treatment.

Indexed as

DeprivationEpidemiologyMulti-jointOsteoarthritisPain

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Registered trials

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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 Socratic graph.