Evidence map›Paper›PMID 40980743›Full record

ArticleOsteoarthritis and cartilage open2025

Use of dual-energy X-ray absorptiometry to evaluate variation in bone shape and alignment associated with radiographic knee osteoarthritis: Findings from a study of 19,053 individuals in UK Biobank.

Rhona A Beynon, Faten Alomar, Fiona R Saunders, Raja Ebsim, Benjamin G Faber, Mijin Jung, Jennifer S Gregory, Claudia Lindner, Simon G F Abram, Richard M Aspden and 3 more

Abstract read
In one paragraph

Article in Osteoarthritis and cartilage open, 2025. 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. 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

13 authors.

Rhona A BeynonUniversity of Bristol, Musculoskeletal Research Unit, Bristol Medical School, Bristol, United Kingdom.
Faten AlomarThe University of Manchester, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Manchester, United Kingdom.
Fiona R SaundersUniversity of Aberdeen, Centre for Arthritis and Musculoskeletal Health, Aberdeen, United Kingdom.
Raja EbsimThe University of Manchester, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Manchester, United Kingdom.
Benjamin G FaberUniversity of Bristol, Musculoskeletal Research Unit, Bristol Medical School, Bristol, United Kingdom.
Mijin JungUniversity of Bristol, Musculoskeletal Research Unit, Bristol Medical School, Bristol, United Kingdom.
Jennifer S GregoryUniversity of Aberdeen, Centre for Arthritis and Musculoskeletal Health, Aberdeen, United Kingdom.
Claudia LindnerThe University of Manchester, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Manchester, United Kingdom.
Simon G F AbramUniversity of Bristol, Musculoskeletal Research Unit, Bristol Medical School, Bristol, United Kingdom.
Richard M AspdenUniversity of Aberdeen, Centre for Arthritis and Musculoskeletal Health, Aberdeen, United Kingdom.
Nicholas C HarveyUniversity of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, United Kingdom.
Timothy CootesThe University of Manchester, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Manchester, United Kingdom.
Jonathan H TobiasUniversity of Bristol, Musculoskeletal Research Unit, Bristol Medical School, Bristol, United Kingdom.

Funding

Wellcome Trust 223267
6 · The paper itself

Abstract

Objective: Lower limb alignment may predispose to, or exacerbate, symptoms of knee osteoarthritis. To examine the role of this and other joint shape variation, we conducted a cross-sectional study investigating relationships between radiographic knee osteoarthritis (rKOA) and knee shape in dual-energy X-ray absorptiometry (DXA) images from UK Biobank (UKB). Methods: Associations between the first ten knee shape modes (KSMs), derived from statistical shape modelling, and rKOA grade were analysed using logistic regression, adjusting for age, sex, height, weight, and ethnicity. An additional model included adjustment for hip-knee-ankle (HKA) angle, derived from total body DXA scans, to reflect knee alignment. Composite figures illustrate knee shape characteristics associated with each rKOA grade. Results: 19,053 individuals were included (mean 63.7 years, 48 ​% males), of whom 80.7 ​%, 14.6 ​%, 3.6 ​% and 1.2 ​% had rKOA grades 0, 1, 2 and 3-4, respectively. Several KSMs were associated with rKOA in confounder-adjusted analyses, with higher grades showing stronger relationships. These associations were attenuated by adjustment for HKA. As expected, composite shape models revealed that higher rKOA grades were associated with greater varus malalignment. After HKA adjustment, composite shape models showed less varus alignment, with other shape differences, such as altered proximal tibial metaphysis and lateral patella displacement, emerging in higher-grade rKOA. Conclusions: Our cross-sectional analyses between joint shape and DXA-derived rKOA grade showed expected relationships with varus malalignment, which were attenuated after adjusting for HKA. Other shape differences, particularly in higher-grade rKOA, emerged independently of alignment, warranting further investigation.

Indexed as

Dual-energy X-ray absorptiometryKnee alignmentKnee osteoarthritisStatistical shape modelling

Identifiers

PMID40980743
PMCPMC12445559

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LicenceCC BY
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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 OpenQuestion graph.