Analysis of macro-level patterns in traditional Chinese medicine intervention for tumor recurrence based on data mining

Key Points

• This analysis aims to explore the efficacy characteristics of traditional Chinese medicine interventions for tumor recurrence using data mining methods.
• Retrieved literature from Chinese databases until 2025 about TCM interventions for tumor recurrence.
• Analyzed data on tumor types, intervention drugs, evaluation, and syndrome indicators using Microsoft Excel.
• Identified the top three syndrome types based on frequency in the literature.
• Included 126 articles on TCM interventions for tumor recurrence.
• Identified main syndrome types: spleen and kidney deficiency, phlegm-stasis, qi stagnation-blood stasis.
• High-frequency TCM types utilized were detoxifying herbs and those for invigorating blood flow and strengthening energy.

Abstract