Evidence map›Paper›PMID 40046306›Full record

SynthesisFrontiers in microbiology2025

Research hotspots and development trends of

Jinyu Wu, Hongxia Yuan, Hongchao Chen

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Jinyu WuThe First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
Hongxia YuanThe First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
Hongchao ChenLiaoyang Infectious Disease Hospital, Liaoyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: With the growing emphasis on global health issues, Method: The data were sourced from the Web of Science Core Collection database, covering the period from January 1, 1984, to December 31, 2023. Network analyses of countries, institutions, authors, and keyword collaborations, as well as co-citation analyses of journals and references, were conducted using CiteSpace software. VOSviewer software was used to analyze the co-occurrence and hotspots of keywords. Result: A total of 246 relevant documents were retrieved, comprising 221 articles and 25 review articles. From 1984 to 2023, the number of research publications exhibited a generally fluctuating upward trend. Turkey and China emerged as the primary contributing countries in this field, with Xinjiang Medical University identified as the most productive research institution. Additionally, Juan D. Colmenero is recognized as the author with the highest number of published articles and citations. "Clinical Infectious Diseases" is regarded as the most influential journal in this domain. Among the 404 keywords analyzed by CiteSpace, the top 10 high-frequency keywords included spondylitis, complication, melitensis, osteoarticular complication, diagnosis, infection, clinical characteristics, epidural abscess, arthritis, and feature. A total of 14 clusters were formed. In the burst analysis of the top 15 keywords, "instrumentation" exhibited the highest burst intensity, while "arthritis" demonstrated the longest burst duration. Emerging keywords include "experience," "ankylosing spondylitis," "China," and "instrumentation." Conclusion: This study is the first bibliometric analysis in the field of

Indexed as

bibliometric analysisBrucellaBrucellar spondylitisCiteSpaceinfectious diseaseVOSviewer

Identifiers

PMID40046306
PMCPMC11881824

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.