Evidence map›Paper›PMID 37342364›Full record

ArticleArthroplasty today2023

A Bibliometric Analysis of the Top 100 Most Influential Studies on Robotic Arthroplasty.

Sayi P Boddu, M Lane Moore, Bryeson M Rodgers, Joseph C Brinkman, Jens T Verhey, Joshua S Bingham

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Arthroplasty today, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Same-Day Discharge Total Joint Arthroplasty: A Bibliometric Analysis.The archives of bone and joint surgery · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Robotic Total Knee Arthroplasty: An Update.Journal of personalized medicine · 2024
    Review
  10. Article
  11. Review
  12. 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

6 authors at 2 institutions in 1 country.

Sayi P BodduMayo Clinic Alix School of Medicine, Scottsdale, AZ, USA.
M Lane MooreMayo Clinic Alix School of Medicine, Scottsdale, AZ, USA.
Bryeson M RodgersMayo Clinic Alix School of Medicine, Scottsdale, AZ, USA.
Joseph C BrinkmanMayo Clinic Department of Orthopedic Surgery, Phoenix, AZ, USA.
Jens T VerheyMayo Clinic Department of Orthopedic Surgery, Phoenix, AZ, USA.
Joshua S BinghamMayo Clinic Department of Orthopedic Surgery, Phoenix, AZ, USA.
Mayo Clinic Hospital · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of robotics in arthroplasty surgery has increased substantially in recent years. The purpose of this study was to objectively identify the 100 most influential studies in the robotic arthroplasty literature and to conduct a bibliometric analysis of these studies to describe their key characteristics. Methods: The Clarivate Analytics Web of Knowledge database was used to gather data and metrics for robotic arthroplasty research using Boolean queries. The search list was sorted in descending order by the number of citations, and articles were included or excluded based on clinical relevance to robotic arthroplasty. Results: The top 100 studies were cited a total of 5770 times from 1997 to 2021, with rapid growth in both citation generation and the number of articles published occurring in the past 5 years. The top 100 robotic arthroplasty articles originated from 12 countries, with the United States being responsible for almost half of the top 100. The most common study types were comparative studies (36) followed by case series (20), and the most common levels of evidence were III (23) and IV (33). Conclusions: Research on robotic arthroplasty is rapidly growing and originates from a wide variety of countries, academic institutions, and with significant industry influence. This article serves as a reference to direct orthopaedic practitioners to the 100 most influential studies in robotic arthroplasty. We hope that these 100 studies and the analysis we provide aid healthcare professionals in efficiently assessing consensus, trends, and needs within the field.

Indexed as

ArthroplastyBibliometric analysisCitation analysisHip arthroplastyKnee arthroplastyRobotic

Identifiers

PMID37342364
PMCPMC10277458
OpenAlexW4380768476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.