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Distribution of Traditional Chinese Medicine Pattern Elements in Patients with Gastric Cancer: A Cross-Sectional Study

中医药 医学 血瘀 协议(科学) 多元分析 癌症 主成分分析 重症监护医学 传统医学 多元统计 癌症医学 分布(数学) 内科学 梅德林 精密医学 替代医学 临床实习 客观性(哲学) 校长(计算机安全)
作者
Yuanyuan Chen,Ling Ren,Nanlan Xie,Jie Guo,Qi Pan,Chun Wu
出处
期刊:Journal of Visualized Experiments [MyJOVE]
卷期号: (226)
标识
DOI:10.3791/69576
摘要

Gastric cancer remains a major cause of morbidity and mortality worldwide, with a particularly high burden in China. Traditional Chinese Medicine (TCM) emphasizes holistic regulation and syndrome differentiation, yet reproducible methods for quantifying syndrome elements in gastric cancer are limited. We conducted a cross-sectional study of 60 patients at Wuxi Second Traditional Chinese Medicine Hospital (December 2022-March 2024) and present a standardized, reproducible protocol for syndrome-element evaluation. Demographics, medical history, and TCM diagnostic information were captured with a standardized case-report form; syndrome elements were identified using a weighted scoring system with dual-expert adjudication. Analysis followed a prespecified multivariate pipeline-two-stage H-K clustering (hierarchical Ward.D2 to suggest k followed by k-means refinement), correlation-network mapping, and principal component analysis. The most frequent elements were qi stagnation, qi deficiency, blood stasis, spleen deficiency, and dampness; strong associations were observed between qi stagnation and blood stasis and between qi deficiency and blood stasis, with additional links involving dampness/phlegm. Principal component analysis indicated that a small set of elements accounted for the largest share of between-patient variation, supporting clinically meaningful stratification. This protocol operationalizes TCM syndrome-element assessment into measurable steps with shareable forms and code, enhancing objectivity and reproducibility and providing a methodological basis for clinical decision-making and multicenter validation. The framework is adaptable to other malignancies, facilitating broader integration of TCM within evidence-based oncology.

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