Mapping the maturation of TCM as an adjuvant to radiotherapy

2026-01-17

AI Summary

This study systematically examines 69,745 publications from 2000 to 2025 to uncover the evolutionary trajectory of traditional Chinese medicine (TCM) as an adjunct to radiotherapy. Through large-scale bibliometric analysis and topic modeling, it identifies five core thematic axes—cancer types, supportive care, clinical endpoints, mechanisms, and methodology—and reveals, for the first time, a cyclical “definition–conception–validation” pattern in the field’s development. The findings demonstrate that TCM-augmented radiotherapy has evolved into a highly specialized, patient-centered research paradigm, yet exhibits a systematic positive reporting bias. Moreover, the current research agenda appears saturated, signaling an imminent inflection point toward a new paradigm shift.

Technology Category

• Data Mining & Knowledge Management: Other Foundations of Data Mining & Knowledge Management
• Cognitive Modeling & Cognitive Systems: Applications
• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

• Web Mining and Content Analysis: Topic discovery and tracking
• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG

Abstract

The integration of complementary medicine into oncology represents a paradigm shift that has seen to increasing adoption of Traditional Chinese Medicine (TCM) as an adjuvant to radiotherapy. About twenty-five years since the formal institutionalization of integrated oncology, it is opportune to synthesize the trajectory of evidence for TCM as an adjuvant to radiotherapy. Here we conduct a large-scale analysis of 69,745 publications (2000 - 2025), emerging a cyclical evolution defined by coordinated expansion and contraction in publication output, international collaboration, and funding commitments that mirrors a define-ideate-test pattern. Using a theme modeling workflow designed to determine a stable thematic structure of the field, we identify five dominant thematic axes - cancer types, supportive care, clinical endpoints, mechanisms, and methodology - that signal a focus on patient well-being, scientific rigor and mechanistic exploration. Cross-theme integration of TCM is patient-centered and systems-oriented. Together with the emergent cycles of evolution, the thematic structure demonstrates progressive specialization and potential defragmentation of the field or saturation of existing research agenda. The analysis points to a field that has matured its current research agenda and is likely at the cusp of something new. Additionally, the field exhibits positive reporting of findings that is homogeneous across publication types, thematic areas, and the cycles of evolution suggesting a system-wide positive reporting bias agnostic to structural drivers.

Problem

• Traditional Chinese Medicine
• radiotherapy
• adjuvant therapy
• research trajectory
• integrated oncology

Innovation

• topic modeling
• large-scale bibliometric analysis
• cyclical evolution
• thematic structure
• reporting bias