Evidence map›Paper›PMID 42798122›Full record

ArticleMedicine2026

Hotspots and research trends on pterygium surgery: A bibliometric analysis.

Gaoming Zhang, Ting Zhang, Mengting Xue, Hongya Tian, Yaxiang Miao, Yuemeng Wu

Abstract read
In one paragraph

Article in Medicine, 2026. 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

6 authors.

Gaoming ZhangDepartment of Ophthalmology, Jiangyin Hospital of Traditional Chinese Medicine, Nanjing University of Traditional Chinese Medicine, Jiangyin City, Jiangsu Province, China.
Ting Zhang
Mengting Xue
Hongya Tian
Yaxiang Miao
Yuemeng Wu

Funding

Jiangyin City's Outstanding Young and Middle-aged Health Professional Training Program JYROYT202318Wuxi Health Commission project M202461
6 · The paper itself

Abstract

purposeThis study aims to conduct a bibliometric analysis of global research on surgical interventions for pterygium, a condition characterized by fibrovascular growth on the cornea that can cause visual impairment.

methodsThis study employed bibliometric analysis using data from the Web of Science Core Collection database. Literature published from inception to 2024 was analyzed with the R package "bibliometrix," as well as CiteSpace and VOSviewer.

resultsBy July 2024, a total of 1139 publications were identified, revealing a significant rise in studies since the 1990s. China and the United States were the most productive countries in this field. The Singapore National Eye Centre and Tel Aviv University emerged as the leading institutions in terms of publication output. The journal Cornea published the most articles, followed by the British Journal of Ophthalmology. The most impactful author was Tan DTH, followed by Kheirkhah A. The top 3 keywords identified were "excision," "mitomycin-C," and "recurrent pterygium." Cluster analysis revealed 5 key clusters: surgical and pharmacological treatments, excision and graft transplantation methods, molecular mechanisms, clinical complications and management, and disease prevalence with anatomical context. Keyword bursts highlighted growing interest in "pathogenesis," "prevalence," and "efficacy."

conclusionsThis study presents the first bibliometric analysis of research on pterygium surgery. Future directions in this area may focus on targeted surgical strategies to enhance treatment efficacy.

Indexed as

BibliometricsPterygiumHumansbibliometric analysisCiteSpaceefficacypterygium surgeryVOSviewer

Identifiers

PMID42798122
PMCPMC13619194

What OpenQuestion holds

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Registered trials

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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.