Geographic Variation in Knee Phenotypes Based on the Coronal Plane Alignment of the Knee Classification: A Systematic Review

冠状面 医学 系统回顾 膝关节 人口 地理变异 人口学 梅德林 外科 生物 解剖 生物化学 环境卫生 社会学
作者
Cale Pagan,Theofilos Karasavvidis,Drake G. LeBrun,Seong J. Jang,Samuel J. MacDessi,Jonathan M. Vigdorchik
出处
期刊:Journal of Arthroplasty [Elsevier BV]
卷期号:38 (9): 1892-1899.e1 被引量:64
标识
DOI:10.1016/j.arth.2023.03.047
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
我是老大应助霸气的念云采纳,获得10
1秒前
我是老大应助pengua采纳,获得10
1秒前
ding应助willlow采纳,获得10
1秒前
科研通AI2S应助小旋风采纳,获得10
1秒前
原神大王完成签到,获得积分10
2秒前
2秒前
3秒前
3秒前
5秒前
wxx1发布了新的文献求助10
6秒前
spinon完成签到,获得积分10
7秒前
郑政关注了科研通微信公众号
8秒前
vavel发布了新的文献求助10
8秒前
洛尘发布了新的文献求助30
8秒前
科研通AI6.4应助freya采纳,获得10
9秒前
斯文败类应助sdl采纳,获得10
9秒前
lan发布了新的文献求助10
9秒前
XiaoLi发布了新的文献求助10
9秒前
可可可爱完成签到 ,获得积分10
9秒前
10秒前
12秒前
12秒前
我是快乐的小行家完成签到,获得积分10
14秒前
优雅的青完成签到,获得积分20
14秒前
科研通AI6.4应助四叶草采纳,获得10
14秒前
Xixi发布了新的文献求助10
16秒前
脑洞疼应助矮小的忘幽采纳,获得10
17秒前
18秒前
Wanderer发布了新的文献求助10
19秒前
CYJ关闭了CYJ文献求助
19秒前
七夜竹发布了新的文献求助10
19秒前
20秒前
21秒前
任性的凝琴完成签到 ,获得积分10
22秒前
落寞语兰发布了新的文献求助10
24秒前
南辞完成签到,获得积分10
24秒前
jia完成签到 ,获得积分10
24秒前
大火龙完成签到 ,获得积分10
25秒前
达达鸭完成签到,获得积分10
25秒前
sdl发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7767813
求助须知:如何正确求助?哪些是违规求助? 9311262
关于积分的说明 20322733
捐赠科研通 7352734
什么是DOI,文献DOI怎么找? 3315451
关于科研通互助平台的介绍 2464752
邀请新用户注册赠送积分活动 2330095