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Frontiers in public health. 2025 May 27:13:1585350. doi: 10.3389/fpubh.2025.1585350 Q13.42025

Quantitative analysis of new drug registration policies for traditional Chinese medicine using the PMC index model

基于PMC指数模型的中药新药注册政策定量分析 翻译改进

Liu Yiming  1, Xie Ming  1

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  • 1 Liaoning University of Traditional Chinese Medicine, Dalian, China.
  • DOI: 10.3389/fpubh.2025.1585350 PMID: 40496448

    摘要 中英对照阅读

    Introduction: Traditional Chinese medicine (TCM) culture represents the essence of traditional Chinese culture. The registration of TCM is crucial for promoting its sustainable development and can significantly contribute to the economic growth of the TCM industry. Consequently, the Chinese government has introduced a series of policies regarding TCM registration, aiming to provide scientific and effective guidance for the innovation, inheritance, and development of TCM. At present, China's TCM registration policies are still inadequate, and it is necessary to evaluate and compare them quantitatively.

    Methods: The present study utilizes text mining methodology and the Policy Modeling Consistency Index (PMC index) model to establish an evaluation system for quantitative assessment and comparison of the Drug Administration Law, Drug Registration Administration Method, Chinese Medicine Registration Administration Method, Chinese Medicine Law, and other relevant legislations spanning from 1985 to 2023.

    Results: This study revealed that (1) through a comprehensive analysis of high-frequency words, different Traditional Chinese Medicine Regulatory Policies (TCMRPs) shared similar content and objectives, but placed varying degrees of emphasis on specific aspects. (2) The average PMC index of 165 TCMRPs was 5.858, which generally fell within the acceptable range. Among these policies, none achieved perfection, while 39 policies were deemed excellent, constituting 23.6% of the total policies. There were a total of 119 policies falling within the acceptable range, accounting for 72.1% of the total. Additionally, there were 7 policies with below-standard performance, making up for only 4.2% of the total. (3) The PMC index values differed significantly across issuing institutions and incentive methods for various TCMRPs, with generally low scores observed in this regard. However, there were similarities in terms of policy nature, timelines, function, content, mode and scientism rating among these policies.

    Conclusion: (1) The TCM registration system requires further enhancement and refinement to ensure greater efficiency and compliance with current standards. (2) Technical problems have hindered the research and development of TCM. (3) Talent preservation should be incorporated as a key consideration in the formulation of TCM registration policies. (4) The formulation of TCM registration policies should incorporate economic incentive considerations. (5) China ought to intensify the development of classic and renowned formulas to expedite the registration of novel TCM.

    Keywords: China; Chinese medicine registration policy; PMC index model; policy optimization; quantitative evaluation study; traditional Chinese medicine.

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    简介:传统中医文化代表了中国传统文化的精髓。中药注册对于促进其可持续发展至关重要,可以显著贡献于中药行业的经济增长。因此,中国政府出台了一系列关于中药注册的政策,旨在为中药创新、传承和发展提供科学有效的指导。目前,中国的中药注册政策仍存在不足之处,有必要对其进行量化评估和比较。

    方法:本研究利用文本挖掘的方法及Policy Modeling Consistency Index(PMC指数)模型建立了评估体系,对《药品管理法》、《药品注册管理办法》、《中药注册管理专门规定》等自1985年至2023年的相关法规进行量化评估和比较。

    结果:本研究发现:(1) 通过高频词的全面分析,不同的传统中医药监管政策(TCMRPs)在内容及目标上存在相似之处,但在具体方面的重视程度有所不同。(2) 对于这165项中药注册政策,其平均PMC指数为5.858,在可接受范围内。这些政策中没有一项达到完美标准,有39项被认为非常优秀(占总政策的23.6%),而119项在可接受范围之内(占总政策的72.1%)。同时还有7项表现不佳,只占总体的4.2%。(3) 不同发放机构和激励措施所对应的TCMRPs的PMC指数值差异显著,其评分普遍较低。然而,在这些政策性质、时间线、功能、内容等方面存在一定的相似性。

    结论:(1) 中药注册制度需要进一步优化和完善以确保更高的效率并符合现行标准。(2) 技术问题阻碍了中药的研究与开发。(3) 在制定中药注册政策时,应将人才保存作为关键考虑因素。(4) 制定中药注册政策时应考虑到经济激励。(5) 中国应当加强经典名方的发展,以加快新中药的注册。

    关键词:中国;中药注册政策;PMC指数模型;政策优化;量化评价研究;传统中医

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    期刊名:Frontiers in public health

    缩写:FRONT PUBLIC HEALTH

    ISSN:N/A

    e-ISSN:2296-2565

    IF/分区:3.4/Q1

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    Quantitative analysis of new drug registration policies for traditional Chinese medicine using the PMC index model