Evidence map›Paper›PMID 42260794›Full record

ArticleMedicine2026

Global research trends on intra-arterial chemotherapy for retinoblastoma: A bibliometric and visualized study.

Fabriccio J Visconti-Lopez, Giancarlo Saal-Zapata

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

2 authors.

Fabriccio J Visconti-LopezUniversidad Científica del Sur, Lima, Peru.ORCID 0000-0002-8056-2112
Giancarlo Saal-ZapataDepartment of Neurosurgery. Hospital Nacional Guillermo Almenara Irigoyen-EsSalud, La Victoria, Lima, Peru.ORCID 0000-0002-4622-7118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to determine the bibliometric characteristics of scientific articles on intra-arterial chemotherapy for retinoblastoma worldwide.

methodsThe Web of Science database was used to conduct a comprehensive search strategy, which included all languages, countries or regions, affiliations, journals, research areas. The search ultimately yielded 256 articles that met the predefined inclusion criteria and were manually reviewed. The study employed a bibliometric analysis using quantitative bibliometric indicators and network analysis with co-authorship and co-occurrence of terms, using the bibliometrix package in R and VOSviewer, respectively.

resultsThe number of publications has been increasing since the first publication in 2010, with the largest number in 2021 (36 articles). The average number of citations per document was 13.32, and the annual growth rate was 5.38%. The most prolific country and authors were from the United States. Carol Lally Shields had the most contributions (53 articles), and the most cited study was published by Gobin et al in 2011. The journal with the most publications was JAMA Ophthalmology. The most commonly used keywords were Retina, Enucleation, and Periocular around 2016, while Radiation, Advanced age, and External carotid artery were commonly used around 2020.

conclusionsThe United States is the most prolific country in this topic, with a large publication output but a low collaboration among other countries. Low- and middle-income countries should also be encouraged to implement research to contribute to the advancement of knowledge on intra-arterial chemotherapy for retinoblastoma.

Indexed as

Antineoplastic AgentsBibliometricsRetinal NeoplasmsRetinoblastomaHumansInfusions, Intra-ArterialAntineoplastic Agentsbibliometricsdata visualizationendovascular proceduresneurosurgeryneurosurgical proceduresretinoblastomatrends

Identifiers

PMID42260794
PMCPMC13246072

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.