[Paper Review] Mapping the maturation of TCM as an adjuvant to radiotherapy

P. Bilha Githinji, Aikaterini Melliou+9 more|arXiv (Cornell University)|Jan 17, 2026

Complementary and Alternative Medicine Studies0 citations

TL;DR

The paper conducts a large-scale bibliometric and NLP-based synthesis of 69,745 publications (2000–2025) to map the field, identify thematic axes, report cycles of growth, and analyze rhetorical framing of findings in abstracts.

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.

Motivation & Objective

• Synthesize the field of TCM as an adjunct to radiotherapy across cancer types, publication types, and eras.
• Characterize the temporal dynamics of publication output, collaboration, and funding.
• Identify stable thematic axes and structural roles of themes within the literature.
• Assess how abstracts rhetorically frame results and whether framing shows bias or consistency across cycles and domains.

Proposed method

• Construct a corpus of 69,745 PubMed-derived records (2000–2025).
• Apply a theme-extraction pipeline with embedding-based topic modeling across multiple runs to derive a consensus thematic structure (98.5% Jaccard convergence).
• Aggregate topic-model outputs using set-based similarity to obtain stable themes and higher-order categories.
• Use an LLM-based pipeline to extract and classify result-bearing statements from abstracts and analyze rhetorical framing.
• Validate LLM classifications with exact-matching adjudication to ensure extractive fidelity (precision-recall values reported).

Figure 1: Annual publication output

Experimental results

Research questions

• RQ1 What are the dominant thematic axes and their evolution over time in TCM as an adjunct to radiotherapy?
• RQ2 How do publication output, collaboration, and funding indicators cycle over 25 years, and what epochs emerge?
• RQ3 Is there a consistent positive framing of results in abstracts across publication types and thematic areas?
• RQ4 Which themes serve as core, bridging, or peripheral in the field, and how do their interconnections evolve?

Key findings

• A cyclical pattern of coordinated growth emerges across publication output, collaboration breadth, and funding.
• Five dominant thematic axes are identified: cancer types, supportive care, clinical endpoints, mechanisms, and methodology.
• Top journals and authors show expanding mainstream biomedical visibility, with China overtaking the USA in publications after 2021.
• Abstracts exhibit predominantly positive framing of results across epochs and publication types, with higher positive framing in randomized trials and basic research (about 75%).
• A stable thematic structure is achieved via consensus across multiple topic-modeling runs with a 98.5% Jaccard convergence.
• Thematic networks show increasing specialization over time, with core themes centered on clinical endpoints, adverse event management, and pharmacologic mechanisms.

Figure 2: Growth rate of various indicators