Exploring traditional acupuncture point selection patterns for pain control: data mining of randomised controlled clinical trials.

acupuncture data mining neuromodulation pain systematic review

Journal

Acupuncture in medicine : journal of the British Medical Acupuncture Society
ISSN: 1759-9873
Titre abrégé: Acupunct Med
Pays: England
ID NLM: 9304117

Informations de publication

Date de publication:
20 Jun 2020
Historique:
entrez: 23 6 2020
pubmed: 23 6 2020
medline: 23 6 2020
Statut: aheadofprint

Résumé

The underlying principles of traditional acupuncture point selection for pain control are complex. Analysis of acupuncture treatments from clinical studies may provide us with a potential rule when selecting traditional acupuncture points (hereafter abbreviated as "points") in treatment protocols for pain control. The aim of this study was to investigate which points were most commonly used to treat pain in randomised controlled clinical trials (RCTs). We searched acupuncture treatment regimens in RCTs included in the Cochrane Database of Systematic Reviews for pain management. We analysed information on point selection (more than 10 RCTs included) from seven eligible systematic reviews on pain control. The frequency of the points used was calculated and visualised using a human body template. The points most commonly used across diseases were SP6, ST36, LI4 and LR3. However, the most frequently used points varied across individual conditions. For example, the most frequently used points to treat migraine were GB20, LR3, GV20, Our findings suggest that local and segmental/extra-segmental neuromodulation appear to be the most common phenomena for pain control in acupuncture research. Analysis of information on point selection using a data-driven approach may unveil the hidden patterns of traditional acupuncture point utilisation in clinical practice.

Sections du résumé

BACKGROUND BACKGROUND
The underlying principles of traditional acupuncture point selection for pain control are complex. Analysis of acupuncture treatments from clinical studies may provide us with a potential rule when selecting traditional acupuncture points (hereafter abbreviated as "points") in treatment protocols for pain control. The aim of this study was to investigate which points were most commonly used to treat pain in randomised controlled clinical trials (RCTs).
METHODS METHODS
We searched acupuncture treatment regimens in RCTs included in the Cochrane Database of Systematic Reviews for pain management. We analysed information on point selection (more than 10 RCTs included) from seven eligible systematic reviews on pain control. The frequency of the points used was calculated and visualised using a human body template.
RESULTS RESULTS
The points most commonly used across diseases were SP6, ST36, LI4 and LR3. However, the most frequently used points varied across individual conditions. For example, the most frequently used points to treat migraine were GB20, LR3, GV20,
CONCLUSIONS CONCLUSIONS
Our findings suggest that local and segmental/extra-segmental neuromodulation appear to be the most common phenomena for pain control in acupuncture research. Analysis of information on point selection using a data-driven approach may unveil the hidden patterns of traditional acupuncture point utilisation in clinical practice.

Identifiants

pubmed: 32567332
doi: 10.1177/0964528420926173
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

964528420926173

Auteurs

Ye-Chae Hwang (YC)

Acupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.

In-Seon Lee (IS)

Acupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA.

Yeonhee Ryu (Y)

Clinical Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.

Myeong Soo Lee (MS)

Clinical Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.

Younbyoung Chae (Y)

Acupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.

Classifications MeSH