Evidence map›Paper›PMID 40851860›Full record

SynthesisFrontiers in microbiology2025

Virus in infectious uveitis: bibliometric analysis and a clinical study.

Junhui Shen, Jinfeng Kong, Yufeng Xu, Yanyan Hu, Lei Feng

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Junhui Shen *Eye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jinfeng Kong *Eye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yufeng XuEye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yanyan HuDepartment of Clinical Laboratory, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Lei FengEye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent years, advancements in detection technology have led to increased research interest in viral uveitis. Methods: This study conducted a comprehensive analysis, comprising a bibliometric examination of literature on virus and infectious uveitis and a retrospective study focusing on infectious uveitis. The bibliometric analysis aimed to elucidate past and emerging trends in this field over several decades. In the retrospective study, intraocular fluid samples were collected from 73 patients suspected of having infectious uveitis for metagenomic next-generation sequencing (mNGS), with 29 samples also subjected to microbiological culture. Results: Analysis of the literature revealed a steady rise in annual publications on virus and infectious uveitis from 1990 to 2021, reaching a peak in 2021. The United States emerged as the most prolific contributor, with significant collaborative relationships with other nations. Keywords were clustered into five categories, covering diagnostic criteria, diagnostic tools, clinical manifestations, epidemiology, and etiology of viral uveitis. Interestingly, research focus shifted from predominant viral types and serodiagnosis towards intraocular fluid testing. mNGS demonstrated a notably higher positivity rate (73.97%) compared to culture (3.45%), identifying various pathogens including viruses, bacteria, fungi, Conclusion: Viral uveitis has consistently garnered research attention, with future directions likely focusing on virus types and diagnostic tools. Viruses are the main causative microorganisms of infectious uveitis. The high efficacy of mNGS in identifying diverse pathogens from minute volumes of intraocular fluid samples highlights its pivotal role in diagnosing infectious uveitis.

Indexed as

bibliometric analysisinfectious uveitisintraocular fluidmetagenomic next-generation sequencingvirus

Identifiers

PMID40851860
PMCPMC12367754

What OpenQuestion holds

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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.