Evidence map›Paper›PMID 38646377›Full record

ReviewCureus2024

Robotic-Assisted Hip and Knee Arthroplasty: A Bibliometric Analysis Using the Scopus Database.

Ren 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

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. [Research progress on tracker fixation strategies and related complications in robot-assisted total knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Ren Yi KowDepartment of Orthopedics, Traumatology, and Rehabilitation, International Islamic University Malaysia, Kuantan, MYS.
Rizal Abdul RaniDepartment of Orthopedics and Traumatology, Universiti Kebangsaan Malaysia, Kuala Lumpur, MYS.
Mohamad Hilmi Mohamad NazarallahDepartment of Orthopedics, Universiti Sains Islam Malaysia, Nilai, MYS.
Juzaily F LeongDepartment of Orthopedics and Traumatology, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, MYS.
Muhammad Fathi HayyunDepartment of Orthopedics and Traumatology, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, MYS.
Chooi Leng LowDepartment of Radiology, International Islamic University Malaysia, Kuantan, MYS.
Ahmad Hafiz ZulkiflyDepartment of Orthopedics, Traumatology, and Rehabilitation, International Islamic University Malaysia, Kuantan, MYS.
Nor Hamdan Mohamad YahayaDepartment of Orthopedics and Traumatology, Universiti Kebangsaan Malaysia, Kuala Lumpur, MYS.
Hospital Kuala Lumpur · MYInternational Islamic University Malaysia · MYNational University of Malaysia · MYUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted hip and knee arthroplasty represents cutting-edge advancements in orthopedic surgery, harnessing robotic technology to enhance precision, improve clinical outcomes, and facilitate intra-operative 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 decision-making, promoting collaborative initiatives, and guiding the development of future studies to further advance the field of robotic-assisted hip and knee arthroplasty.

Indexed as

bibliometric analysiship arthritisknee arthritisrobotic hip and knee surgeryrobotic knee surgery

Identifiers

PMID38646377
PMCPMC11031712
OpenAlexW4393055303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.