SynthesisMedicine2026
Evidence-based precision in TCM: A systematic review and Meta-Analysis of data mining for syndrome-specific acupoint combinations in acute asthma exacerbations.
Synthesis in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
4 authors.
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Abstract
backgroundThe quest for personalized management of acute asthma exacerbations continues. Traditional Chinese Medicine (TCM) offers a rich repository of empirical knowledge, but its pattern-driven recommendations lack systematic, data-driven validation.
methodsWe performed a systematic data mining analysis of TCM clinical literature on acupoint sticking therapy for acute asthma. Latent structure analysis and frequent itemset analysis were applied to 40 studies involving 2107 patients to objectively identify core syndrome patterns and their associated acupoint combinations.
resultsWe objectively delineated 2 predominant and clinically distinct syndrome patterns. For the pattern characterized by dyspnea with chills and clear sputum (analogous to "exterior-cold), the combination of Feishu (BL13), Dingchuan (EX-B1), and Shenshu (BL23) was most strongly associated. For the pattern with dyspnea, yellow sputum, and fever (analogous to "phlegm-heat), the combination shifted to Feishu (BL13), Dingchuan (EX-B1), and Dazhui (GV14).
conclusionThis computational study transforms qualitative TCM experience into quantifiable, syndrome-specific treatment rules. It provides an evidence-based framework for acupoint selection in acute asthma and demonstrates a novel methodology for extracting actionable clinical knowledge from historical texts. These findings offer a foundation for designing targeted clinical trials to validate personalized TCM interventions.
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42675688PMC13529163What OpenQuestion holds
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