Evidence map›Paper›PMID 34389476›Full record

ArticleBone2021

Osteophyte size and location on hip DXA scans are associated with hip pain: Findings from a cross sectional study 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 Bone, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Osteoarthritis year in review 2022: imaging.Osteoarthritis and cartilage · 2023
    Review
  16. Article
  17. Machine Learning-Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Article
  18. Article
  19. Article
  20. 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

11 authors at 5 institutions in 1 country.

Benjamin G FaberMusculoskeletal Research Unit, University of Bristol, UK; Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK. Electronic address: ben.faber@bristol.ac.uk.
Raja EbsimDivision of Informatics, Imaging and Data Science, University of Manchester, UK.
Fiona R SaundersCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, UK.
Monika FryszMusculoskeletal Research Unit, University of Bristol, UK; Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK.
Claudia LindnerDivision of Informatics, Imaging and Data Science, University of Manchester, UK.
Jennifer S GregoryCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, UK.
Richard M AspdenCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, UK.
Nicholas C HarveyMedical Research Council Lifecourse Epidemiology Unit, University of Southampton, UK.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, UK.
Timothy CootesDivision of Informatics, Imaging and Data Science, University of Manchester, UK.
Jonathan H TobiasMusculoskeletal Research Unit, University of Bristol, UK; Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK.
University of Aberdeen · GBUniversity of Manchester · GBBristol City Council · GBUniversity of Bristol · 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_UU_00011/1Medical Research Council MR/S00405X/1Medical Research Council MR/S021280/1Wellcome Trust 209233/Z/17/Z
6 · The paper itself

Abstract

objectiveIt remains unclear how the different features of radiographic hip osteoarthritis (rHOA) contribute to hip pain. We examined the relationship between rHOA, including its individual components, and hip pain using a novel dual-energy x-ray absorptiometry (DXA)-based method.

methodsHip DXAs were obtained from UK Biobank. A novel automated method obtained minimum joint space width (mJSW) from points placed around the femoral head and acetabulum. Osteophyte areas at the lateral acetabulum, superior and inferior femoral head were derived manually. Semi-quantitative measures of osteophytes and joint space narrowing (JSN) were combined to define rHOA. Logistic regression was used to examine the relationships between these variables and hip pain, obtained via questionnaires.

results6807 hip DXAs were examined. rHOA was present in 353 (5.2%) individuals and was associated with hip pain [OR 2.42 (1.78-3.29)] and hospital diagnosed OA [6.01 (2.98-12.16)]. Total osteophyte area but not mJSW was associated with hip pain in mutually adjusted models [1.31 (1.23-1.39), 0.95 (0.87-1.04) respectively]. On the other hand, JSN as a categorical variable showed weak associations between grade ≥ 1 and grade ≥ 2 JSN with hip pain [1.30 (1.06-1.60), 1.80 (1.34-2.42) respectively]. Acetabular, superior and inferior femoral osteophyte areas were all independently associated with hip pain [1.13 (1.06-1.20), 1.13 (1.05-1.24), 1.10 (1.03-1.17) respectively].

conclusionIn this cohort, the relationship between rHOA and prevalent hip pain was explained by 2-dimensional osteophyte area, but not by the apparent mJSW. Osteophytes at different locations showed important, potentially independent, associations with hip pain, possibly reflecting the contribution of distinct biomechanical pathways.

Indexed as

Osteoarthritis, HipOsteophyteAbsorptiometry, PhotonBiological Specimen BanksCross-Sectional StudiesHumansPainRadiographyUnited KingdomDual-energy x-ray absorptiometryHip painJoint space narrowingOsteoarthritisOsteophyte

Identifiers

PMID34389476
PMCPMC8503366
OpenAlexW3191564441

What OpenQuestion holds

Textmetadata
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.