ArticleInternational ophthalmology2025
A comprehensive scientometric analysis of eyelid tumor research: co-word mapping and thematic clustering based on scopus data.
Article in International ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Correlation between ocular tumor distribution and age based on analysis of pathological specimens.American journal of translational research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEyelid tumors, as an important group of ocular tumors, have received significant attention due to their effects on visual function, physical appearance, aesthetics, and overall quality of life. This study aimed to use scientometric methods to evaluate research trends in the field of eyelid tumors.
methodsIn this scientometric study, the Scopus database was searched to identify relevant publications. Co-word analysis was performed using VOSviewer software to create a scientific map and identify key areas for future research.
resultsThe analysis showed that from 1856 to January 2025, a total of 17,179 scientific publications with 209,120 citations were published in this field. The research was classified into four main clusters: ophthalmic symptoms and medical treatments, malignant pathologies and non-surgical methods, diagnostic methods and benign tumors, and basal cell carcinoma and surgical methods. The strong relationship between these clusters indicates the importance of interdisciplinary research. Emerging trends in this field include immunotherapy, new clinical symptoms, and advanced diagnostic techniques such as slit-lamp microscopy.
conclusionsThis study outlines current research trends in eyelid tumors, demonstrating a focus on advanced diagnostic techniques, innovative treatment approaches, and management of malignant pathologies. The use of modern technologies like immunotherapy and the development of international collaborations show promise for improving treatment outcomes in the future.
Indexed as
Identifiers
41117847What OpenQuestion holds
Registered trials
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.