AI Article Synopsis

  • The study investigates the geographic variations in knee phenotypes using the Coronal Plane Alignment of the Knee (CPAK) Classification, proposing nine distinct types based on limb alignment.
  • A systematic review of seven studies involving nearly 6,000 knees revealed significant differences in the distribution of knee phenotypes across regions, particularly between healthy and arthritic knees.
  • The findings suggest that knee phenotype variations could inform personalized approaches in orthopedic treatments, highlighting the need for further research into demographic factors such as race and sex.

Article Abstract

Background: The extent of geographic variation in knee phenotypes remains unclear. The Coronal Plane Alignment of the Knee (CPAK) Classification proposes 9 coronal plane phenotypes based on constitutional limb alignment and joint line obliquity. This systematic review aims to examine differences in the distributions of CPAK types across geographic regions.

Methods: A systematic review of the literature was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies reporting distributions of knee phenotypes according to the CPAK classification for healthy and/or arthritic knees were included.

Results: There were 7 studies included, accounting for 5,964 knees in 3,917 subjects. Among healthy knees (n = 1,214), CPAK type II was the most common type in Belgium (39.2%), Taiwan (39.3%), and India (25.6%). Among arthritic knees (n = 2,804), CPAK type I was the most common in France (33.4%), India (58.8%), and Japan (53.8%), whereas CPAK type II was the most common in Australia (32.8%). The proportion of CPAK type I and II knees varied significantly across geographic regions among healthy (P < .01) and arthritic knees (P < .01).

Conclusion: Significant variation in CPAK distributions exists between countries. Further work is needed to delineate racial and sexual differences in CPAK types, which were not explored in this article. A better understanding of population-level variability in knee phenotypes may enable orthopaedic surgeons to offer a more personalized approach to knee arthroplasty.

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Source
http://dx.doi.org/10.1016/j.arth.2023.03.047DOI Listing

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