Evidence map›Paper›PMID 40033416›Full record

ArticleKnee surgery & related research2025

Do knee alignment patterns differ between Middle Eastern and East Asian populations? A propensity-matched analysis using artificial intelligence.

Jisoon Park, Oussama Chaar, Jayakrishnan Narayanakurup, Alamedin Sobhe Abdelsamea Abdelhamead, Du Hyun Ro, Sung Eun Kim

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Article in Knee surgery & related research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jisoon ParkDepartment of Orthopedic Surgery, Burjeel Hospital Abu Dhabi, Abu Dhabi, United Arab Emirates.
Oussama ChaarHip & Knee Center, Mediclinic Airport Road Hospital, Abu Dhabi, United Arab Emirates.
Jayakrishnan NarayanakurupDepartment of Orthopedic Surgery, Burjeel Hospital Abu Dhabi, Abu Dhabi, United Arab Emirates.
Alamedin Sobhe Abdelsamea AbdelhameadHip & Knee Center, Mediclinic Airport Road Hospital, Abu Dhabi, United Arab Emirates.
Du Hyun RoDepartment of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Sung Eun KimDepartment of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea. paxgospel@gmail.com.ORCID http://orcid.org/0000-0002-1954-9875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPopulation-based differences in knee alignment patterns may impact osteoarthritis (OA) progression. This study compares lower extremity alignment in knee OA between Middle Eastern (UAE) and East Asian (South Korean) populations using artificial intelligence (AI)-assisted analysis.

methodsA retrospective review included patients with knee symptoms from South Korea (2009-2019) and the United Arab Emirates (UAE) (2015-2024). Exclusion criteria comprised prior knee surgeries, significant bony attrition, and low-quality radiographs. Propensity score matching controlled for age and sex differences between populations. Alignment parameters (hip-knee-ankle angle (HKA), medial proximal tibial angle (MPTA), lateral distal femoral angle (LDFA), and joint line convergence angle (JLCA)) and OA severity (Kellgren-Lawrence (KL) grade) were measured using artificial intelligence (AI) software, along with the analysis of coronal plane alignment of the knee (CPAK) classification. Subanalyses by sex and age group (under 40, 40-60, and over 60 years) were also conducted.

resultsA total of 1098 UAE and 7138 South Korean patients (2196 and 14,276 knees, respectively) were evaluated in this study. Post-matching (1:2), body mass index was significantly higher in UAE patients (p < 0.001). CPAK type 1 was predominant in UAE male patients (42.4%), whereas type 2 was more common in South Korean male patients (30.6%). Female patients in both populations predominantly exhibited CPAK type 2 (UAE 30.6%; South Korea 35.3%). UAE patients showed a lower MPTA with increasing age, indicating a trend toward more varus alignment in older individuals.

conclusionsA propensity score-matched analysis revealed significant alignment differences between Middle Eastern and East Asian populations, underscoring the importance of population-specific considerations in OA management.

Indexed as

Knee alignmentMiddle EastOsteoarthritisPopulationsPropensity score-matchedSouth Korea

Identifiers

PMID40033416
PMCPMC11877683

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