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Role of dermatomes in the determination of therapeutic characteristics of channel acupoints: a similarity-based analysis of data compiled from literature.

Ferreira AS, Luiz AB - Chin Med (2013)

Bottom Line: Traditional actions explained 30% of the variance of contemporary indications.The association between traditional actions and contemporary indications was the highest one (γ = 0.716, 95% confidence interval (95% CI) = [0.715; 0.719]), followed by the association between dermatomes and contemporary indications (γ = 0.622, 95% CI = [0.621; 0.623]), and between dermatomes and traditional actions (γ = 0.446, 95% CI = [0.444; 0.447]), all with P < 0.001.The similarity of dermatomes between dual acupoints partially determined the similarity of traditional actions and contemporary indications, therefore dermatomes partially determine the therapeutic efficacy of acupuncture.

View Article: PubMed Central - HTML - PubMed

Affiliation: Laboratory of Computational Simulation and Modelling in Rehabilitation, Postgraduate Program of Rehabilitation Science, Centro Universitário Augusto Motta, Praça das Nações 34, 3º andar , Bonsucesso, Rio de Janeiro, Brazil.

ABSTRACT

Background: Analysis of the relationship between the nervous system anatomy and the therapeutic characteristics of all acupuncture points in the channel network may provide new insights on the physiological mechanisms underlying acupuncture stimulation for prevention, treatment, and rehabilitation purposes. This study investigates the association between the similarity of acupoints' dermatomes, traditional actions, and contemporary indications.

Methods: CHANNEL ACUPOINTS HAD THEIR CHARACTERISTICS ANNOTATED FROM A LITERATURE REVIEW OF FOUR TOPOGRAPHIC ATLASES OF CHINESE MEDICINE AND ONE ATLAS OF HUMAN ANATOMY: initials of the channel's name (n = 14), sequential number in the channel (n = 67), acupoint's name (n = 361), dermatomes related to perpendicular needle insertion (n = 31), traditional actions (n = 848), and contemporary indications (n = 1143). Jaccard's similarity coefficient quantified the similarities between dual acupoints. All dual acupoints were evaluated to generate similarity matrices for each nominal variable. Cross-tables were generated by simultaneous classification of variables into levels of similarity with respect to: dermatomes versus traditional actions, dermatomes versus contemporary indications, and traditional actions versus contemporary indications. Goodman-Kruskal γ and Rousson γ*(2) were calculated based on cross-tables, bootstrap and permutated samples to evaluate the association and determination coefficient between variables, respectively.

Results: Significant associations were observed between levels of similarities of dermatomes and traditional actions (γ = 0.542; P < 0.001), dermatomes and contemporary indications (γ = 0.657; P < 0.001), and traditional actions and contemporary indications (γ = 0.716; P < 0.001). Similarities of dermatomes explained 16% of the variance of traditional actions and 25% of contemporary indications. Traditional actions explained 30% of the variance of contemporary indications. The association between traditional actions and contemporary indications was the highest one (γ = 0.716, 95% confidence interval (95% CI) = [0.715; 0.719]), followed by the association between dermatomes and contemporary indications (γ = 0.622, 95% CI = [0.621; 0.623]), and between dermatomes and traditional actions (γ = 0.446, 95% CI = [0.444; 0.447]), all with P < 0.001.

Conclusions: The similarity of dermatomes between dual acupoints partially determined the similarity of traditional actions and contemporary indications, therefore dermatomes partially determine the therapeutic efficacy of acupuncture.

No MeSH data available.


Related in: MedlinePlus

Similarity maps of channel acupoints calculated based on dermatome information, traditional actions, and contemporary indications. Top row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged in top-down sequence of dermatomes and channels. Bottom row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged after shuffling. Grey-scale colours indicate variations from low (blackish) to high (whitish) values of similarity.
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Figure 2: Similarity maps of channel acupoints calculated based on dermatome information, traditional actions, and contemporary indications. Top row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged in top-down sequence of dermatomes and channels. Bottom row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged after shuffling. Grey-scale colours indicate variations from low (blackish) to high (whitish) values of similarity.

Mentions: Similarity maps for matrices D, T, and C (left, middle, right, respectively) in dermatome/channel arrangement and after permutation (top and bottom row, respectively) were exhibited in Figure 2. The white diagonal line evidences the perfect similarity between dual acupoints where i = j. The similarity maps arranged in dermatome sequence showed several high-similarity small clusters (whitish regions) of dual acupoints spread in a large low-similarity background area (blackish regions). Such clustering was not evident on the similarity maps after permutation of lines and columns, if existent.


Role of dermatomes in the determination of therapeutic characteristics of channel acupoints: a similarity-based analysis of data compiled from literature.

Ferreira AS, Luiz AB - Chin Med (2013)

Similarity maps of channel acupoints calculated based on dermatome information, traditional actions, and contemporary indications. Top row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged in top-down sequence of dermatomes and channels. Bottom row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged after shuffling. Grey-scale colours indicate variations from low (blackish) to high (whitish) values of similarity.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4129182&req=5

Figure 2: Similarity maps of channel acupoints calculated based on dermatome information, traditional actions, and contemporary indications. Top row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged in top-down sequence of dermatomes and channels. Bottom row: Similarity maps of dermatomes (left), traditional actions (middle), and contemporary indications (right) arranged after shuffling. Grey-scale colours indicate variations from low (blackish) to high (whitish) values of similarity.
Mentions: Similarity maps for matrices D, T, and C (left, middle, right, respectively) in dermatome/channel arrangement and after permutation (top and bottom row, respectively) were exhibited in Figure 2. The white diagonal line evidences the perfect similarity between dual acupoints where i = j. The similarity maps arranged in dermatome sequence showed several high-similarity small clusters (whitish regions) of dual acupoints spread in a large low-similarity background area (blackish regions). Such clustering was not evident on the similarity maps after permutation of lines and columns, if existent.

Bottom Line: Traditional actions explained 30% of the variance of contemporary indications.The association between traditional actions and contemporary indications was the highest one (γ = 0.716, 95% confidence interval (95% CI) = [0.715; 0.719]), followed by the association between dermatomes and contemporary indications (γ = 0.622, 95% CI = [0.621; 0.623]), and between dermatomes and traditional actions (γ = 0.446, 95% CI = [0.444; 0.447]), all with P < 0.001.The similarity of dermatomes between dual acupoints partially determined the similarity of traditional actions and contemporary indications, therefore dermatomes partially determine the therapeutic efficacy of acupuncture.

View Article: PubMed Central - HTML - PubMed

Affiliation: Laboratory of Computational Simulation and Modelling in Rehabilitation, Postgraduate Program of Rehabilitation Science, Centro Universitário Augusto Motta, Praça das Nações 34, 3º andar , Bonsucesso, Rio de Janeiro, Brazil.

ABSTRACT

Background: Analysis of the relationship between the nervous system anatomy and the therapeutic characteristics of all acupuncture points in the channel network may provide new insights on the physiological mechanisms underlying acupuncture stimulation for prevention, treatment, and rehabilitation purposes. This study investigates the association between the similarity of acupoints' dermatomes, traditional actions, and contemporary indications.

Methods: CHANNEL ACUPOINTS HAD THEIR CHARACTERISTICS ANNOTATED FROM A LITERATURE REVIEW OF FOUR TOPOGRAPHIC ATLASES OF CHINESE MEDICINE AND ONE ATLAS OF HUMAN ANATOMY: initials of the channel's name (n = 14), sequential number in the channel (n = 67), acupoint's name (n = 361), dermatomes related to perpendicular needle insertion (n = 31), traditional actions (n = 848), and contemporary indications (n = 1143). Jaccard's similarity coefficient quantified the similarities between dual acupoints. All dual acupoints were evaluated to generate similarity matrices for each nominal variable. Cross-tables were generated by simultaneous classification of variables into levels of similarity with respect to: dermatomes versus traditional actions, dermatomes versus contemporary indications, and traditional actions versus contemporary indications. Goodman-Kruskal γ and Rousson γ*(2) were calculated based on cross-tables, bootstrap and permutated samples to evaluate the association and determination coefficient between variables, respectively.

Results: Significant associations were observed between levels of similarities of dermatomes and traditional actions (γ = 0.542; P < 0.001), dermatomes and contemporary indications (γ = 0.657; P < 0.001), and traditional actions and contemporary indications (γ = 0.716; P < 0.001). Similarities of dermatomes explained 16% of the variance of traditional actions and 25% of contemporary indications. Traditional actions explained 30% of the variance of contemporary indications. The association between traditional actions and contemporary indications was the highest one (γ = 0.716, 95% confidence interval (95% CI) = [0.715; 0.719]), followed by the association between dermatomes and contemporary indications (γ = 0.622, 95% CI = [0.621; 0.623]), and between dermatomes and traditional actions (γ = 0.446, 95% CI = [0.444; 0.447]), all with P < 0.001.

Conclusions: The similarity of dermatomes between dual acupoints partially determined the similarity of traditional actions and contemporary indications, therefore dermatomes partially determine the therapeutic efficacy of acupuncture.

No MeSH data available.


Related in: MedlinePlus