Evidence map›Paper›PMID 41212289›Full record

ArticleDiscover oncology2025

Extracellular vesicle-enclosed microRNAs serve as non-invasive biomarkers in the major upper and lower gastrointestinal tract tumors: a bibliometric analysis (2010-2025).

Guanlan Zhang, Jincheng Li, Jingwen Ling, Guoqiang Chen, Beibei Huang, Kunhua Xiong, Rongquan He, Diyuan Qin, Gang Chen, Siyan Chen and 1 more

Abstract read
In one paragraph

Article in Discover oncology, 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

11 authors.

Guanlan Zhang *Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Jincheng Li *Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Jingwen LingDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Guoqiang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Beibei HuangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Kunhua XiongDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Rongquan HeDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Diyuan QinDepartment of Computer Science and Technology, School of Computer and Electronic Information, Guangxi University, Nanning, Guangxi Zhuang Autonomous Region, 530004, People's Republic of China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Siyan ChenDay Chemotherapy Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China. 3450424988@qq.com.
Mingyu LaiDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China. 2411423770@qq.com.

Funding

Open Project of Guangxi Laboratory of Enhanced Recovery after Surgery for Gastrointestinal Cancer GXEKL202303
6 · The paper itself

Abstract

backgroundGastrointestinal tract (GIT) tumors account for a large global cancer burden, partly due to the lack of efficient non-invasive early detection biomarkers. For microRNAs (miRNAs) can stably circulate in body fluids, research on body fluid miRNAs in GIT tumors is significant for non-invasive and precise medicine. This study aims to summarize the previous research and propose the future directions of body fluid miRNAs in the major upper and lower GIT tumors.

methodsPublications were retrieved and gathered from the Web of Science Core Collection database. Bibliometric analyses including year, area, journals, authors, institutions, keyword and reference analyses were conducted through CiteSpace, VOSviewer, and bibliometrix package.

resultsTotally 695 articles and 80 reviews were screened and included. The quantity of publications in this area was increasing, especially in China, Japan and the United States. The most productive journal was PLoS One, and the most prolific author was Ajay Goel from Baylor University Medical Center. The keyword analysis showed that although research on aberrant miRNAs expression status had been continuously published in previous years, the keywords "liquid biopsy", "extracellular vesicles", "machine learning", and "resistance" frequently occurred in recent years. For citation burst references, articles associated with exosomal miRNAs had been highlighted lately.

conclusionIt was concluded that the prospective topic trends represented further exploration of the body fluid miRNAs encapsulated in extracellular vesicles and liquid biopsy technology, which will likely advance early screening, risk stratification, and personalized treatment.

Indexed as

BibliometricsExtracellular vesiclesGastrointestinal tract tumorsMicroRNAsNon-invasive

Identifiers

PMID41212289
PMCPMC12602805

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.