Evidence map›Paper›PMID 41334299›Full record

ArticleJournal of current ophthalmology

Bibliometric and Visualized Analysis of Ophthalmic Imaging Technology for Glaucoma Diagnosis from 2015 to 2024.

Junran Li, Luqi Wang, Rong Zhang, Huijie Hao, Bo Yu, Muyao Xin, Yu Sun, Xiaoli Xing

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of current ophthalmology. 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

8 authors.

Junran Li *Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Luqi Wang *Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Rong ZhangTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Huijie HaoTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Bo YuTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Muyao XinTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Yu SunTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.
Xiaoli XingTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Nankai District, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To characterize the global patterns and map previous and emerging trends in ophthalmic imaging technology for glaucoma diagnosis through bibliometric analysis. Methods: This cross-sectional study examined ophthalmic imaging technology for glaucoma diagnosis research evolution and theme trends from 2015 to 2024, using bibliometric analysis of Web of Science Core Collection data. Results: From 2015 to 2024, a total of 8192 articles were published. There has been a significant surge in research interest in ocular imaging technology for glaucoma diagnosis over the past decade. The Conclusions: Publications and citations on research related to ocular imaging technology for glaucoma diagnosis have increased over the past decade. The study illuminates the trends, global collaboration, fundamental knowledge, research hotspots, and emerging frontiers in this field.

Indexed as

Bibliometric analysisDeep learningGlaucoma diagnosisGlobal publicationsOphthalmic imagingOptical coherence tomography

Identifiers

PMID41334299
PMCPMC12668647

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.