Evidence map›Paper›PMID 38031121›Full record

ArticleEuropean journal of medical research2023

Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021.

Dun Yuan, Bo-Wen Zheng, Bo-Yv Zheng, Hua-Qing Niu, Ming-Xiang Zou, Song-Lin Liu, Fu-Sheng Liu

Abstract read
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In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Dun YuanDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Bo-Wen ZhengMusculoskeletal Tumor Center, Peking University People's Hospital, Peking University, Beijing, 100044, China.
Bo-Yv ZhengDepartment of Orthopedics Surgery, General Hospital of the Central Theater Command, Wuhan, 430061, China.
Hua-Qing NiuDepartment of Ophthalmology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, Henan, China.
Ming-Xiang ZouDepartment of Spine Surgery, The First Affiliated Hospital, University of South China, Hengyang, 421001, China.
Song-Lin Liu *Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China. liusonglin@csu.edu.cn.
Fu-Sheng Liu *Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, China. lfsspine@csu.edu.cn.

Funding

China Scholarship Council 202106370071Fundamental Research Funds for the Central Universities of Central South University 160171025National Natural Science Foundation of China 82002364Natural Science Foundation of Hunan Province 2021JJ40509Project for Clinical Research of Hunan Provincial Health Commission 20201956
6 · The paper itself

Abstract

backgroundA scientific and comprehensive analysis of the current status and trends in the field of cancer-associated fibroblast (CAF) research is worth investigating. This study aims to investigate and visualize the development, research frontiers, and future trends in CAFs both quantitatively and qualitatively based on a bibliometric approach.

methodsA total of 5518 publications were downloaded from the Science Citation Index Expanded of Web of Science Core Collection from 1999 to 2021 and identified for bibliometric analysis. Visualized approaches, OriginPro (version 9.8.0.200) and R (version 4.2.0) software tools were used to perform bibliometric and knowledge-map analysis.

resultsThe number of publications on CAFs increased each year, and the same tendency was observed in the RRI. Apart from China, the countries with the largest number of publications and the most cited frequency were mainly Western developed countries, especially the USA. Cancers was the journal with the largest number of articles published in CAFs, and Oncology was the most popular research orientation. The most productive author was Lisanti MP, and the University of Texas System was ranked first in the institutions. In addition, the topics of CAFs could be divided into five categories, including tumor classification, prognostic study, oncologic therapies, tumor metabolism and tumor microenvironment.

conclusionsThis is the first thoroughly scientific bibliometric analysis and visualized study of the global research field on CAFs over the past 20 years. The study may provide benefits for researchers to master CAFs' dynamic evolution and research trends.

Indexed as

Cancer-Associated FibroblastsNeoplasmsChinaCluster AnalysisHumansKnowledgeTumor MicroenvironmentBibliometric analysisCancer-associated fibroblastsGlobal research trendTumor-associated fibroblastsVisualized analysisVOSviewer

Identifiers

PMID38031121
PMCPMC10685623

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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.