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Analysis on acupoint selection rules for reflux esophagitis / 中国针灸
Chinese Acupuncture & Moxibustion ; (12): 557-564, 2020.
Artículo en Chino | WPRIM | ID: wpr-826695
ABSTRACT
The data mining technology was used to explore the acupoint selection rules for reflux esophagitis (RE), so as to provide references of clinical acupuncture for RE. The clinical literature of acupuncture for RE published before June 2019 was searched in Chinese journal full-text database (CNKI), SinoMed, Wanfang and VIP databases. The literature was selected according to the inclusion and exclusion criteria and acupoint prescriptions were extracted. The software of IBM SPSS Statistics 23.0 and Clementine 12.0 were used for descriptive analysis and association analysis. A total of 46 articles were selected and 60 acupoint prescriptions were extracted. The descriptive analysis indicated that the top five acupoints used for RE were Zhongwan (CV 12), Zusanli (ST 36), Weishu (BL 21), Neiguan (PC 6) and Gongsun (SP 4). The conception vessel, bladder meridian and stomach meridian were the most commonly selected meridians. In terms of specific acupoints, the crossing points, the front- points and five- points were mainly selected, and the acupoints were mainly distributed in limbs and chest-abdomen. The core acupoint combination for RE was "Zhongwan (CV 12) and Zusanli (ST 36)" and the core prescription was "Zhongwan (CV 12), Zusanli (ST 36), Weishu (BL 21) and Neiguan (PC 6)".
Asunto(s)

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Terapéutica / Esofagitis Péptica / Puntos de Acupuntura / Terapia por Acupuntura / Meridianos / Minería de Datos Límite: Humanos Idioma: Chino Revista: Chinese Acupuncture & Moxibustion Año: 2020 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Terapéutica / Esofagitis Péptica / Puntos de Acupuntura / Terapia por Acupuntura / Meridianos / Minería de Datos Límite: Humanos Idioma: Chino Revista: Chinese Acupuncture & Moxibustion Año: 2020 Tipo del documento: Artículo