Your new experience awaits. Try the new design now and help us make it even better

SYSTEMATIC REVIEW article

Front. Med.

Sec. Regulatory Science

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1600915

Visual Analysis of Quality Management in Chinese Drug Clinical Trials Based on CiteSpace and COOC

Provisionally accepted
Jiayan  XiaJiayan XiaXuemei  NingXuemei NingLamei  JiangLamei JiangPeipei  LiPeipei LiJie  HuangJie HuangWenxiu  JiangWenxiu JiangWen  LiWen LiCheng  WangCheng Wang*Linsha  ZhengLinsha Zheng*Ting  JiangTing Jiang*
  • First Affiliated Hospital of Chengdu Medical College, Chengdu, China

The final, formatted version of the article will be published soon.

Background: Recently, considerable progress has been made in the quality of clinical trials conducted in China. However, the number of clinical trials conducted in China still falls below the global average standard. This study aims to identify research hotspots, collaborative networks, and evolutionary trends in the field of clinical trial quality management (CTQM) in China through bibliometrics and visual analyses to provide theoretical support and practical references for the optimization of domestipolicies. Methods: A systematic literature search was performed across the CNKI, Wanfang, and VIP databases to clinical trial quality management CTQM-related publications. Bibliometric analysis was conducted using CiteSpace 6.1.R6 and Co-Occurrence 20.5 (COOC 20.5), with key metrics including: annual output, active institutions, core journals, main authors, keywords, and thematic evolution. To capture internationally published works, supplementary searches were executed in Scopus, Web of Science, and PubMed for CTQM publications authored by Chinese scholars. Owing to the limited number of results (6 records), these documents were only included only in the discussion analysis. Results: A total of 528 articles were retrieved from the field of CTQM. The research process was divided into three periods: the basic standardization period (2003-2012), technology convergence period (2013-2019), and the intelligent transformation period (2020-2024). The theme shifted from the localization of the system to risk management, data management, and ethical governance driven by emerging technologies. The issuing organizations are primarily national-level administrative bodies, showing strong political-academic collaboration but limited cross-system partnerships. Artificial intelligence (AI)-based clinical trial quality management enhances quality control (QC) efficiency; however, it raises concerns about data privacy and ethical disparities. Conclusion: China's research in the field of CTQM has led to the innovative integration of traditional quality control methods with new technologies. However, insufficient interdisciplinary cooperation and the absence of a data governance system pose ongoing challenges. In the future, it is necessary to build a three-dimensional ecosystem of "policy guidance, technological breakthroughs, and ethical synergy" to promote the rapid development of drug research in China.

Keywords: China, Drug clinical trail, quality management, collaborative networks, Evolutionarytrends, visual analysis

Received: 27 Mar 2025; Accepted: 01 Sep 2025.

Copyright: © 2025 Xia, Ning, Jiang, Li, Huang, Jiang, Li, Wang, Zheng and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Cheng Wang, First Affiliated Hospital of Chengdu Medical College, Chengdu, China
Linsha Zheng, First Affiliated Hospital of Chengdu Medical College, Chengdu, China
Ting Jiang, First Affiliated Hospital of Chengdu Medical College, Chengdu, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.