Publication trends and global collaboration in MAKO robotic-arm assisted total knee arthroplasty: A bibliometric analysis of the last 10 years and future research directions
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Total knee arthroplasty (TKA) is a prevalent intervention for end-stage knee osteoarthritis. MAKO robotic-arm assisted technology has emerged to enhance surgical precision, implant positioning, and patient outcomes. This study presents a bibliometric analysis of global research trends on MAKO robotic-arm assisted TKA from 2014 to 2024, aiming to map publication growth, key contributors, and collaboration networks, specifically focusing on the MAKO platform to delineate system-specific research dynamics often obscured in broader robotic TKA analyses, thereby informing future research directions. This study adopts a platform-specific focus to delineate system-level research dynamics often obscured in pooled robotic TKA analyses. A total of 902 publications indexed in the Web of Science database were analyzed using bibliometric tools including VOSviewer, CiteSpace, and Bibliometrix. Publication trends, citation impact, geographic distribution, co-authorship networks, and keyword co-occurrence were examined to identify research hotspots and influential factors. Findings reveal a significant increase in annual publications (CAGR ~28%) and citations, with the United States, India, Germany, and China leading research output. Strong international collaborations were identified, primarily among institutions in the US, Europe, and East Asia. Dominant research themes include implant alignment accuracy, patient-specific surgical planning, and early functional recovery. Most studies were published in high-impact Q1 orthopedic journals. MAKO robotic-arm assisted TKA research has rapidly expanded, reflecting its growing clinical adoption and scientific interest. Despite promising outcomes, challenges such as high costs, learning curves, and limited long-term data persist. While focused on a single CT-based, haptics-enabled platform, these findings complement pooled robotic TKA bibliometrics and motivate cross-platform comparative analyses. Beyond mapping, we synthesize clinical and health-system implications of dominant MAKO-related themes to inform practice and policy. Future research should emphasize long-term clinical outcomes, cost-effectiveness, and integration of artificial intelligence to further optimize robotic TKA and enhance its role in improving patient care.
Açıklama
Anahtar Kelimeler
Ortopedi, Bilgisayar Bilimleri, Yapay Zeka
Kaynak
Medicine Science
WoS Q Değeri
Scopus Q Değeri
Cilt
14
Sayı
4
