Evidence map›Paper›PMID 35573778›Full record

ArticleFrontiers in cellular and infection microbiology2022

Trends and Developments in the Detection of Pathogens in Central Nervous System Infections: A Bibliometric Study.

Yangyang Guo, Yanlin Yang, Ming Xu, Guangzhi Shi, Jianxin Zhou, Jindong Zhang, Hongliang Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Microbial signatures of neonatal bacterial meningitis from multiple body sites.Frontiers in cellular and infection microbiology · 2023
    Article
  14. 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

7 authors at 3 institutions in 1 country.

Yangyang GuoIntensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yanlin YangIntensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ming XuIntensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Guangzhi ShiIntensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jianxin ZhouIntensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jindong ZhangDepartment of Gastroenterology, Peking University Third Hospital, Beijing, China.
Hongliang LiIntensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Beijing Tian Tan Hospital · CNCapital Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rapid, sensitive, and specific laboratory assays are critical for the diagnosis and management of central nervous system (CNS) infections. The purpose of this study is to explore the intellectual landscape of research investigating methods for the detection of pathogens in patients with CNS infections and to identify the development trends and research frontier in this field. Methods: A bibliometric study is conducted by analyzing literature retrieved from the Web of Science (WoS) Core Collection Database for the years 2000 to 2021. CiteSpace software is used for bibliometric analysis and network visualization, including co-citation analysis of references, co-occurrence analysis of keywords, and cooperation network analysis of authors, institutions, and countries/regions. Results: A total of 2,282 publications are eventually screened, with an upward trend in the number of publications per year. The majority of papers are attributed to the disciplines of MICROBIOLOGY, INFECTIOUS DISEASES, IMMUNOLOGY, NEUROSCIENCES & NEUROLOGY, and VIROLOGY. The co-citation analysis of references shows that recent research has focused on the largest cluster "metagenomic next-generation sequencing"; the results of the analysis of the highest-cited publications and the citation burst of publications reveal that there is a strong interest stimulated in metagenomic next-generation sequencing. The co-occurrence analysis of keywords indicates that "infection", "pathogen", "diagnosis", "gene", "virus", "polymerase chain reaction", "cerebrospinal fluid", "epidemiology", and "metagenomic next-generation sequencing" are the main research priorities in the field of pathogen detection for CNS infections, and the keyword with the highest strength of burst is "metagenomic next-generation sequencing". Collaborative network analysis reveals that the USA, the Centers for Disease Control and Prevention of USA, and XIN WANG and JENNIFER DIEN BARD are the most influential country, institution, and researchers, respectively. Conclusions: Exploring more advanced laboratory assays to improve the diagnostic accuracy of pathogens is essential for CNS infection research. Metagenomic next-generation sequencing is emerging as a novel useful unbiased approach for diagnosing infectious diseases of the CNS.

Indexed as

Central Nervous System InfectionsCommunicable DiseasesBibliometricsHumansMetagenomeMetagenomicsbibliometrics (source: MeSH NLM)central nervous system infectionsCiteSpacemetagenomic next-generation sequencing (mNGS)pathogen detection

Identifiers

PMID35573778
PMCPMC9100591
OpenAlexW4225112556

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.