Unknown

Dataset Information

0

The Status of the Quality Control in Neuroimaging Studies of Acupuncture Analgesia.


ABSTRACT: Neuroimaging technology is an important technology used to explore the neural mechanisms of acupuncture analgesia. In this study, we extracted original studies published in Chinese and English focusing on the use of neuroimaging technology to explore the mechanisms of acupuncture analgesia from PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, Web of Science, and CNKI databases from January 1999 to August 2020. The extracted data were statistically analyzed in terms of year of publication, country, experimental design, and quality control approaches used, sample size, characteristics of participants, acupuncture operation, and other information. Analysis of the literature revealed that international cooperation promotes scientific research. Flexible experimental design can better explain the mechanism of acupuncture analgesia. Reasonable sample size, strict participant inclusion criteria, and standard acupuncture practices are essential for repeatability of conclusions. These findings show that attention should be paid to quality control in future research to improve the reliability of research on acupuncture analgesia.

SUBMITTER: Gao Z 

PROVIDER: S-EPMC7525299 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

The Status of the Quality Control in Neuroimaging Studies of Acupuncture Analgesia.

Gao Zhen Z   Liu Gaofeng G   Zhang Jing J   Ji Laixi L  

Evidence-based complementary and alternative medicine : eCAM 20200921


Neuroimaging technology is an important technology used to explore the neural mechanisms of acupuncture analgesia. In this study, we extracted original studies published in Chinese and English focusing on the use of neuroimaging technology to explore the mechanisms of acupuncture analgesia from PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, Web of Science, and CNKI databases from January 1999 to August 2020. The extracted data were statistically analyzed in terms of ye  ...[more]

Similar Datasets

| S-EPMC8172961 | biostudies-literature
| S-EPMC8598357 | biostudies-literature
| S-EPMC9948384 | biostudies-literature
| S-EPMC9975578 | biostudies-literature
| S-EPMC8488100 | biostudies-literature
| S-EPMC5552608 | biostudies-other
| S-EPMC10569964 | biostudies-literature
| S-EPMC7463942 | biostudies-literature
| S-EPMC11364124 | biostudies-literature
| S-EPMC5469855 | biostudies-other