ArticleIntegrative medicine research2022
Diachronic analysis of major acupoints used in ancient and current acupuncture treatments: Changes in main acupoints over time.
Article in Integrative medicine research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Recent advances in acupuncture for pain relief.Pain reports · 2024Article
- Identifying Key Node with Motif-Based PageRank on Acupoint-Disease Network.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Acupuncture ameliorates breast cancer-related fatigue by regulating the gut microbiota-gut-brain axis.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Over time, a large body of knowledge on acupoint selection patterns has accumulated. This study compared the main acupoint selection patterns between ancient and current acupuncture treatments. Methods: Data on the 10 most frequently used acupoints were obtained from a current medical database, the Cochrane Database of Systematic Reviews, and the ancient medical text Donguibogam. Network analysis was used to identify the most commonly used major points across various diseases. Results: The most commonly used acupoints in both ancient and current acupuncture were ST36, SP6, LR3, LI4, and GV20. Acupoints CV3, CV4, CV6, CV8, and CV12 were more widely used in ancient acupuncture, while in current acupuncture, HT7, PC6, KI3, GB34, and EX-HN3 were more prevalent. Conclusions: Ancient and current acupuncture practice had similar and distinct acupoint selection patterns. Diachronic analysis sheds light on how patterns of acupoint selection have changed.
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