SynthesisFrontiers in neurology2026
Data mining of acupoint selection and combination patterns for dysphagia with sialorrhea: a literature-based study.
Synthesis in Frontiers in neurology, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
8 authors.
Funding
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Abstract
Background: Dysphagia accompanied by sialorrhea/drooling is clinically challenging, and acupuncture is frequently applied; however, standardized summaries of acupoint selection and combination patterns remain limited. Methods: Eight databases were searched from inception to May 2025. Clinical publications reporting acupuncture prescriptions for dysphagia with sialorrhea/drooling were included. One representative prescription was extracted from each eligible article (124 articles; 124 prescriptions). Acupoint names were normalized according to the GB/T standard terminology. Descriptive statistics were used to summarize acupoint frequency, meridian distribution, and commonly used acupoint categories. Association rule mining was performed using the Apriori algorithm (SPSS Modeler 18.0), and a co-occurrence network was visualized in Cytoscape to identify core nodes and stable combinations. Results: A total of 124 prescriptions containing 179 unique acupoints were extracted (1,070 total acupoint occurrences). The most frequently used acupoints included CV23, GB20, EX-HN12, EX-HN13, GV20, LI4, and ST36. Association rules and network analysis revealed stable co-occurrence structures, highlighting several high-connectivity acupoints and recurring pairs/sets (e.g., CV23-GB20; EX-HN12-EX-HN13; ST4-ST6, where applicable). Conclusion: Literature-based prescription data mining identified commonly used acupoints and reproducible co-occurrence patterns for dysphagia with sialorrhea. These findings provide a quantitative basis for acupoint selection and may inform the development of standardized clinical protocols, as well as future prospective validation.
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