Evidence map›Paper›PMID 39760080›Full record

SynthesisFrontiers in microbiology2024

Research trends and focus of prosthetic joint infections from 2013 to 2023: bibliometric and visualization studies.

Liwen Zhang, Fei Li, Diqian Zhao, Lei Duan, Wenzhe Bai, Bing Yan

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Bibliometric Analysis of Highly-Cited Papers ofIndian journal of orthopaedics · 2026
    Review
  6. Review
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.

Liwen ZhangThe First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.
Fei LiDepartment of Orthopedics, Affiliated Hospital of Shandong Traditional Chinese Medicine University, Jinan, China.
Diqian ZhaoThe First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.
Lei DuanThe First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.
Wenzhe BaiThe First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.
Bing YanDepartment of Orthopedics, Affiliated Hospital of Shandong Traditional Chinese Medicine University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative infections in artificial joints provide considerable difficulties in the field of orthopedics, especially after joint replacement procedures. These infections rank among the most severe postoperative consequences, frequently leading to treatment ineffectiveness and reduced quality of life for surgery patients. Consequently, it is crucial to acquire knowledge about worldwide research trends in this area in order to educate clinical practices and improve therapeutic techniques. This work exploits bibliometric analysis to investigate the present state, developing patterns, and main areas of focus in research on artificial joint infection. Objective: To analyze the research trends, hotspots, and international collaborations on artificial joint infections worldwide from 2013 to 2023. Methods: Extractions of raw data were made from the WoSCC (Web of Science Core Collection) database. Detailed information collected includes the quantity of publications, authors, citations, publication year, h-index, references, country/region, journal, and keywords. Analysis of the data was conducted using VOSviewer version 1.6.10.0 and CiteSpace version 6.3.R1. Results: A total of 1,799 articles published between 2013 and 2023 were included in this analysis, showing a steady increase in publication with the United States leading at 553 articles. Infection rates and topics such as biofilm formation and antimicrobial resistance were highly cited, with Mayo Clinic contributing 65 articles as the most prolific institution. Conclusion: Research on biofilm infections, antibiotic resistance, and new biomarkers is a key focus, particularly on disrupting biofilms and enhancing diagnostics. There's growing attention in biomarkers like

Indexed as

antibiotic resistanceartificial joint infectionbibliometricsbiofilminfection control strategiesinfection diagnosis antimicrobial coating

Identifiers

PMID39760080
PMCPMC11695429

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.