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Body mass index, hip function and surgeon volume are independent predictors of dislocation: an analysis of 4334 total hip replacements

Overview of attention for article published in European Journal of Orthopaedic Surgery & Traumatology, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 885)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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16 X users

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27 Mendeley
Title
Body mass index, hip function and surgeon volume are independent predictors of dislocation: an analysis of 4334 total hip replacements
Published in
European Journal of Orthopaedic Surgery & Traumatology, December 2017
DOI 10.1007/s00590-017-2078-6
Pubmed ID
Authors

John Annan, Nick Clement, Gavin J. Macpherson, Ivan J. Brenkel, James A. Ballantyne, Edward Dunstan

Abstract

The aim of this study was to identify pre-operative and intra-operative factors that are predictive of dislocation following primary total hip replacement (THR). Data were prospectively collected for a consecutive series of 4334 THRs undertaken over a 14-year period. Ninety-eight (2.3%) of the 4334 patients had one or more dislocation post-operatively. A body mass index (BMI) of ≥ 35 (p < 0.001), a Harris Hip Score (HHS) of ≤ 41 (p < 0.001) and a low-volume surgeon (p < 0.001), which was defined as performing fewer than 43 THRs per annum, were identified as independent predictors of dislocation using logistic regression analysis. Using these three variables in differing combinations the risk of dislocation varied from 0.5 to 10.4%. Patients at high risk of dislocation, with a BMI of ≥ 35 and a pre-operative HHS of ≤ 41, undergoing surgery by a low-volume surgeon had a dislocation rate of 10.5%, but this decreased to 2.3% when operated on by a high-volume surgeon. These risk factors could be used to identify patients at high risk of dislocation, and modification of these factors, such as weight loss to achieve a BMI of ≤ 35 or referral to a high-volume surgeon, may decrease the risk of dislocation and the resulting secondary morbidity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Bachelor 4 15%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 7 26%
Readers by discipline Count As %
Medicine and Dentistry 15 56%
Agricultural and Biological Sciences 1 4%
Nursing and Health Professions 1 4%
Neuroscience 1 4%
Engineering 1 4%
Other 0 0%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 June 2018.
All research outputs
#2,577,250
of 23,088,369 outputs
Outputs from European Journal of Orthopaedic Surgery & Traumatology
#25
of 885 outputs
Outputs of similar age
#59,515
of 440,681 outputs
Outputs of similar age from European Journal of Orthopaedic Surgery & Traumatology
#1
of 11 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 885 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,681 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.