Evidence map›Paper›PMID 34919677›Full record

ArticleRheumatology (Oxford, England)2022

A novel semi-automated classifier of hip osteoarthritis on DXA images shows expected relationships with clinical outcomes in UK Biobank.

Benjamin G Faber, Raja Ebsim, Fiona R Saunders, Monika Frysz, Claudia Lindner, Jennifer S Gregory, Richard M Aspden, Nicholas C Harvey, George Davey Smith, Timothy Cootes and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  4. The clinical utility of imaging in osteoarthritis and its importance in future prediction of total hip replacement; a nested case-control study within the AGES-Reykjavik cohort.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
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  7. DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38 123 UK Biobank participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
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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

11 authors at 4 institutions in 1 country.

Benjamin G FaberMusculoskeletal Research Unit.ORCID 0000-0003-4102-0190
Raja EbsimDivision of Informatics, Imaging and Data Science, The University of Manchester, Manchester.
Fiona R SaundersCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen.
Monika FryszMusculoskeletal Research Unit.
Claudia LindnerDivision of Informatics, Imaging and Data Science, The University of Manchester, Manchester.ORCID 0000-0001-9396-3436
Jennifer S GregoryCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen.
Richard M AspdenCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen.ORCID 0000-0002-0693-1194
Nicholas C HarveyMedical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0002-8194-2512
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol.ORCID 0000-0002-1407-8314
Timothy CootesDivision of Informatics, Imaging and Data Science, The University of Manchester, Manchester.
Jonathan H TobiasMusculoskeletal Research Unit.
University of Bristol · GBUniversity of Aberdeen · GBUniversity of Manchester · GBMRC Lifecourse Epidemiology Unit · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_QA137853Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_00011/1Medical Research Council MR/S00405X/1Medical Research Council MR/S021280/1Wellcome Trust 209233Wellcome Trust 209233/Z/17/ZWellcome Trust 223267/Z/21/Z
6 · The paper itself

Abstract

objectiveConventional scoring methods for radiographic hip OA (rHOA) are subjective and show inconsistent relationships with clinical outcomes. To provide a more objective rHOA scoring method, we aimed to develop a semi-automated classifier based on DXA images and confirm its relationships with clinical outcomes.

methodsHip DXAs in UK Biobank (UKB) were marked up for osteophyte area from which acetabular, superior and inferior femoral head osteophyte grades were derived. Joint space narrowing (JSN) grade was obtained automatically from minimum joint space width (mJSW) measures. Clinical outcomes related to rHOA comprised hip pain, hospital diagnosed OA (HES OA) and total hip replacement. Logistic regression and Cox proportional hazard modelling were used to examine associations between overall rHOA grade (0-4; derived from combining osteophyte and JSN grades) and the clinical outcomes.

resultsA toal of 40 340 individuals were included in the study (mean age 63.7), of whom 81.2% had no evidence of rHOA, while 18.8% had grade ≥1 rHOA. Grade ≥1 osteophytes at each location and JSN were associated with hip pain, HES OA and total hip replacement. Associations with all three clinical outcomes increased progressively according to rHOA grade, with grade 4 rHOA and total hip replacement showing the strongest association [57.70 (38.08-87.44)].

conclusionsOur novel semi-automated tool provides a useful means for classifying rHOA on hip DXAs, given its strong and progressive relationships with clinical outcomes. These findings suggest DXA scanning can be used to classify rHOA in large DXA-based cohort studies supporting further research, with the future potential for population-based screening.

Indexed as

Osteoarthritis, HipOsteophyteArthralgiaBiological Specimen BanksHip JointHumansMiddle AgedPainRadiographyUnited Kingdomdual-energy X-ray absorptiometryhip painOAtotal joint replacement

Identifiers

PMID34919677
PMCPMC9434243
OpenAlexW4200220653

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.