# Evolution of traditional Chinese medicine registration review and approval policies: research based on the LDA topic model

**Authors:** Kaidi Lu, Ming Xie, Wanping Sun, Yiming Liu

PMC · DOI: 10.3389/fpubh.2025.1655636 · Frontiers in Public Health · 2025-10-01

## TL;DR

This study analyzes the evolution of Traditional Chinese Medicine registration policies in China using a topic model to understand their development and provide guidance for future policy-making.

## Contribution

The paper introduces a novel application of the LDA topic model to analyze the evolution of TCM registration policies.

## Key findings

- The scope of TCMRAPs in China is broad and has evolved over time.
- Policies have transitioned from a basic framework to more standardized and refined approaches.
- The study offers a method for assessing and informing future TCM policies.

## Abstract

The economic expansion of the Traditional Chinese Medicine (TCM) industry has prompted the Chinese government to introduce a series of policies focused on the registration review and approval of TCM. These policies aim to provide scientific and practical guidance for the innovation, protection, and progress of TCM. Although scholars have conducted detailed studies on the quantitative assessment of Traditional Chinese Medicine Registration Review and Approval Policies(TCMRAPs), Research on the evolution analysis of these policies is still relatively lacking.

The evolution of TCMRAPs was analyzed using the Latent Dirichlet Allocation (LDA) topic model.

The results show that the scope of concern of the TCMRAPs in China is vast. TCMRAPs demonstrate their uniqueness at each stage, and over time, they have exhibited a development trend from a basic framework to standardization and refinement.

This study provides a reference for the subsequent formulation of TCMRAPs in China. Also, it offers an assessment method and theoretical reference for other countries in formulating their own policies for the drugs.

## Full-text entities

- **Chemicals:** Traditional (-)

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12521254/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12521254/full.md

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Source: https://tomesphere.com/paper/PMC12521254