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Robotic-assisted Hip And Knee Arthroplasty: A Bibliometric Analysis Using The Scopus Database

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cris.lastimport.scopus2024-12-07T10:38:08Z
dc.contributor.authorRen Yi Kow
dc.contributor.authorRizal Abdul Rani
dc.contributor.authorMohamad Hilmi Mohaamd Nazarallah
dc.contributor.authorJuzaily F.Leong
dc.contributor.authorMuhammad Fathi Hayyun
dc.contributor.authorChooi Leng Low
dc.contributor.authorAhmad Hafiz Zulkifly
dc.contributor.authorNor Hamdan Mohamad Yahaya
dc.date.accessioned2024-11-26T17:04:53Z
dc.date.available2024-11-26T17:04:53Z
dc.date.issued2024
dc.date.submitted2024-11-26
dc.descriptionIndexed by WOS
dc.description.abstractRobotic-assisted hip and knee arthroplasty represents cutting-edge advancements in orthopedic surgery, harnessing robotic technology to enhance precision, improve clinical outcomes, and facilitate intraoperative procedures. In these robotic-assisted surgeries, the robotic systems assist surgeons in planning and executing joint replacement surgeries, thereby facilitating personalized implant positioning and optimizing the fit and alignment of hip and knee implants. Despite the increasing attention garnered by robotic-assisted hip and knee arthroplasty in recent years, a comprehensive bibliometric analysis using the Scopus database has yet to be conducted. This bibliometric analysis reviews the Scopus database from 1961 until 2022 to investigate the literature on the field of robotic-assisted hip and knee arthroplasty. A total of 577 articles that satisfied the selection criteria were included in this review. The majority of the articles focus more on total knee replacement, compared to total hip replacement and unicompartmental knee arthroplasty. The overwhelming majority of the articles were authored by researchers and clinicians from the United States of America (USA) and the United Kingdom (UK). Similarly, most of the articles with the highest number of citations were authored by researchers and clinicians from these regions. This comprehensive bibliometric analysis using Scopus in the domain of robotic-assisted hip and knee replacement has the potential to act as a roadmap for researchers, clinicians, and policymakers, facilitating informed decisionmaking, promoting collaborative initiatives, and guiding the development of future studies to further advance the field of robotic-assisted hip and knee arthroplasty.
dc.identifier.citationRen Yi Kow, Rizal Abdul Rani, Mohamad Hilmi Mohamad Nazarallah, Juzaily F. Leong , Muhammad Fathi Hayyun , Chooi Leng Low , Ahmad Hafiz Zulkifly & Nor Hamdan Mohamad Yahaya (2024). Robotic-Assisted Hip and Knee Arthroplasty: A Bibliometric Analysis Using the Scopus Database. Curēus, 16(3). https://doi.org/10.7759/cureus.56617
dc.identifier.doi10.7759/cureus.56617
dc.identifier.epage10
dc.identifier.issn2168-8184
dc.identifier.issue3
dc.identifier.other1774-1
dc.identifier.spage1
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/25236
dc.identifier.urihttps://www.cureus.com/articles/236123-robotic-assisted-hip-and-knee-arthroplasty-a-bibliometric-analysis-using-the-scopus-database#!/
dc.identifier.volume16
dc.language.isoen_US
dc.publisherCUREUS
dc.relation.ispartofCUREUS
dc.relation.issn2168-8184
dc.relation.journalCureus
dc.subject: bibliometric analysis
dc.subjecthip arthritis
dc.subjectknee arthritis
dc.subjectrobotic hip and knee surgery
dc.subjectrobotic knee surgery
dc.titleRobotic-assisted Hip And Knee Arthroplasty: A Bibliometric Analysis Using The Scopus Database
dc.typetext::journal::journal article
dspace.entity.typePublication
oaire.citation.issue3
oaire.citation.volume16
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationUniversiti Sains Islam Malaysia
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#

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