Exploration and Prospects of Core Research Hotspots in the Mechanisms of Traditional Chinese Medicine for Treating Digestive System Malignancies Based on Bibliometrics.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Zhikang Mei, Mingkun Yu, Zhirui Zhang, Menglu Zhang, Tao Hao, Hong Jiang
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Abstract

Introduction: Traditional Chinese Medicine (TCM) is widely used in the treatment of Digestive System Malignancies (DSM), but its overall research trends across cancer types remain unclear. This study conducts a bibliometric analysis of TCM-related studies on colorectal, liver, gastric, and pancreatic cancers to guide future research.

Method: To ensure the comprehensiveness and accuracy of TCM-related research retrieval, we collected relevant literature from three key databases-Web of Science Core Collection (WoSCC), PubMed, and China National Knowledge Infrastructure (CNKI)-covering the period from the inception of each database to December 31, 2024, with a focus on the four aforementioned types of digestive system malignancies. Subsequently, CiteSpace and VOSviewer were used to systematically analyze publication trends, contributing entities, research hotspots, and other key indicators in the included literature.

Results: Among digestive system malignancies, liver cancer has the highest number of publications, and studies focusing on the pharmacodynamic mechanisms of relevant drugs dominate in each subfield. Although research on gastric cancer and pancreatic cancer is less extensive, the relevant literature mainly centers on the mechanism exploration and application research associated with TCM treatment. The findings of this study provide a comprehensive overview of TCMbased therapies for digestive system malignancies.

Discussion: Heterogeneities exist in publication volume and collaboration; immune regulation and TCM combination therapies are hotspots, while insufficient multicenter RCTs and weak collaboration hinder clinical translation.

Conclusion: This study clarifies the field's status, hotspots, and gaps, provides data references for unified research standards, and suggests a future focus on mechanism elucidation and clinical translation.

基于文献计量学的中医药治疗消化系统恶性肿瘤机制核心研究热点探索与展望
导读:中医药在消化系统恶性肿瘤(DSM)的治疗中被广泛应用,但其在不同癌症类型的总体研究趋势尚不清楚。本研究对大肠癌、肝癌、胃癌、胰腺癌的中医药相关研究进行文献计量分析,以指导今后的研究。方法:为确保中医药相关研究检索的全全性和准确性,我们从web of Science Core Collection (WoSCC)、PubMed和中国知网(CNKI)三个关键数据库中收集相关文献,时间跨度从每个数据库建立之日起至2024年12月31日,重点收集上述四种消化系统恶性肿瘤。随后,利用CiteSpace和VOSviewer对纳入文献的发表趋势、投稿主体、研究热点等关键指标进行系统分析。结果:在消化系统恶性肿瘤中,肝癌的发表数量最多,且各子领域对相关药物药效学机制的研究占主导地位。虽然对胃癌和胰腺癌的研究并不广泛,但相关文献主要集中在中医治疗的机制探索和应用研究上。本研究的结果提供了基于中药治疗消化系统恶性肿瘤的全面概述。讨论:出版物数量和合作存在异质性;免疫调节和中药联合治疗是研究热点,但多中心随机对照试验不足、合作薄弱阻碍了临床转译。结论:本研究明确了该领域的现状、热点和差距,为统一研究标准提供了数据参考,并为今后的机制阐明和临床转化提供了参考。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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