Evidence map›Paper›PMID 30682010›Full record

Trial reportPloS one2019

Which osteoarthritic gait features recover following total knee replacement surgery?

Paul Robert Biggs, Gemma Marie Whatling, Chris Wilson, Andrew John Metcalfe, Cathy Avril Holt

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Gait speed and kinesiophobia explain physical activity level in adults with osteoarthritis: A cross-sectional study.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

5 authors.

Paul Robert BiggsCardiff School of Engineering, College of Physical Sciences, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0002-8846-0858
Gemma Marie WhatlingCardiff School of Engineering, College of Physical Sciences, Cardiff University, Cardiff, United Kingdom.
Chris WilsonArthritis Research UK Biomechanics and Bioengineering Centre, Cardiff University, Cardiff, United Kingdom.
Andrew John MetcalfeArthritis Research UK Biomechanics and Bioengineering Centre, Cardiff University, Cardiff, United Kingdom.
Cathy Avril HoltCardiff School of Engineering, College of Physical Sciences, Cardiff University, Cardiff, United Kingdom.

Funding

Arthritis Research UK 20781
6 · The paper itself

Abstract

backgroundGait analysis can be used to measure variations in joint function in patients with knee osteoarthritis (OA), and is useful when observing longitudinal biomechanical changes following Total Knee Replacement (TKR) surgery. The Cardiff Classifier is an objective classification tool applied previously to examine the extent of biomechanical recovery following TKR. In this study, it is further developed to reveal the salient features that contribute to recovery towards healthy function.

methodsGait analysis was performed on 30 patients before and after TKR surgery, and 30 healthy controls. Median TKR follow-up time was 13 months. The combined application of principal component analysis (PCA) and the Cardiff Classifier defined 18 biomechanical features that discriminated OA from healthy gait. Statistical analysis tested whether these features were affected by TKR surgery and, if so, whether they recovered to values found for the controls.

resultsThe Cardiff Classifier successfully discriminated between OA and healthy gait in all 60 cases. Of the 18 discriminatory features, only six (33%) were significantly affected by surgery, including features in all three planes of the ground reaction force (p<0.001), ankle dorsiflexion moment (p<0.001), hip adduction moment (p = 0.003), and transverse hip angle (p = 0.007). All but two (89%) of these features remained significantly different to those of the control group after surgery.

conclusionsThis approach was able to discriminate gait biomechanics associated with knee OA. The ground reaction force provided the strongest discriminatory features. Despite increased gait velocity and improvements in self-reported pain and function, which would normally be clinical indicators of recovery, the majority of features were not affected by TKR surgery. This TKR cohort retained pre-operative gait patterns; reduced sagittal hip and knee moments, decreased knee flexion, increased hip flexion, and reduced hip adduction. The changes that were associated with surgery were predominantly found at the ankle and hip, rather than at the knee.

Indexed as

Arthroplasty, Replacement, KneeGaitKnee JointOsteoarthritis, KneeAgedAged, 80 and overBiomechanical PhenomenaFemaleHip JointHumansLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID30682010
PMCPMC6347391

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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.