Evidence map›Paper›PMID 27185958›Full record

Observational studyRheumatology (Oxford, England)2016

The relationship between three-dimensional knee MRI bone shape and total knee replacement-a case control study: data from the Osteoarthritis Initiative.

Andrew J Barr, Bright Dube, Elizabeth M A Hensor, Sarah R Kingsbury, George Peat, Mike A Bowes, Linda D Sharples, Philip G Conaghan

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Rheumatology (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Bone Shape Feature Differences in Single and Recurrent Patellar Dislocations via Statistical Shape Modeling.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
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  7. Review
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  9. Article
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  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Andrew J BarrLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds, UK.
Bright DubeLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds, UK.
Elizabeth M A HensorLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds, UK.
Sarah R KingsburyLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds, UK.
George PeatArthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University.
Mike A BowesImorphics Ltd, Kilburn House, Manchester.
Linda D SharplesLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.
Philip G ConaghanLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds, UK p.conaghan@leeds.ac.uk.

Funding

Arthritis Research UK 20083Arthritis Research UK 20154Arthritis Research UK 20194Versus Arthritis 20800Wellcome Trust WT 088908/Z/09/Z
6 · The paper itself

Abstract

objectiveThere is growing understanding of the importance of bone in OA. Our aim was to determine the relationship between 3D MRI bone shape and total knee replacement (TKR).

methodsA nested case-control study within the Osteoarthritis Initiative cohort identified case knees with confirmed TKR for OA and controls that were matched using propensity scores. Active appearance modelling quantification of the bone shape of all knee bones identified vectors between knees having or not having OA. Vectors were scaled such that -1 and +1 represented the mean non-OA and mean OA shapes.

resultsCompared to controls (n = 310), TKR cases (n = 310) had a more positive mean baseline 3D bone shape vector, indicating more advanced structural OA, for the femur [mean 0.98 vs -0.11; difference (95% CI) 1.10 (0.88, 1.31)], tibia [mean 0.86 vs -0.07; difference (95% CI) 0.94 (0.72, 1.16)] and patella [mean 0.95 vs 0.03; difference (95% CI) 0.92 (0.65, 1.20)]. Odds ratios (95% CI) for TKR per normalized unit of 3D bone shape vector for the femur, tibia and patella were: 1.85 (1.59, 2.16), 1.64 (1.42, 1.89) and 1.36 (1.22, 1.50), respectively, all P < 0.001. After including Kellgren-Lawrence grade in a multivariable analysis, only the femur 3D shape vector remained significantly associated with TKR [odds ratio 1.24 (1.02, 1.51)].

conclusion3D bone shape was associated with the endpoint of this study, TKR, with femoral shape being most associated. This study contributes to the validation of quantitative MRI bone biomarkers for OA structure-modification trials.

Indexed as

AgedArthroplasty, Replacement, KneeCase-Control StudiesFemaleFemurHumansImaging, Three-DimensionalKnee JointLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedOsteoarthritis, KneePatellaProspective StudiesTibia3D bone shapeactive appearance modellingkneemagnetic resonance imagingosteoarthritistotal knee replacement

Identifiers

PMID27185958
PMCPMC4993955

What Socratic holds

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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.