Evidence map›Paper›PMID 32195113›Full record

ArticleIntegrative medicine research2020

Statistical inference of acupoint specificity: forward and reverse inference.

Ye-Chae Hwang, Ye-Seul Lee, Yeonhee Ryu, In-Seon Lee, Younbyoung Chae

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Article in Integrative medicine research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Identifying Key Node with Motif-Based PageRank on Acupoint-Disease Network.Evidence-based complementary and alternative medicine : eCAM · 2023
    Article
  4. Article
  5. Article
  6. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ye-Chae HwangAcupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ye-Seul LeeDepartment of Anatomy and Acupoint, College of Korean Medicine, Gachon University, Seongnam, Republic of Korea.
Yeonhee RyuKM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
In-Seon LeeAcupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Younbyoung ChaeAcupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe acupoint specificity has been considered important issue in acupuncture research. In clinical aspects, it is essential to identify which acupoints are associated specifically with a particular disease. The present study aimed to identify the specificity of acupoint selection (forward inference) and the specificity of acupoint indication (reverse inference) from the online virtual diagnosis experiment.

methodsEighty Korean Medicine doctors conducted the virtual medical diagnoses provided for 10 different case reports. For forward inference, the acupoints prescribed for each disease were quantified and the data were normalised among 30 frequently used acupoints using

resultsUsing forward inference we demonstrated the specificity of acupoint selection in each disease. Using reverse inference we identified the specificity of acupoint indication in each acupoint. In general, a certain acupoint can be selected specifically for a particular disease, and it has a specific indication for the disease. However, the specificity of acupoint indication and the specificity of acupoint selection are not always identical.

conclusionsThe selection of an acupoint for a particular disease does not imply that the acupoint has specific indications for that disease. Inferring the specificity of acupoint indication from clinical observations should be considered.

Indexed as

AcupunctureBayesian inferenceIndicationSpecificity

Identifiers

PMID32195113
PMCPMC7078453

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