Publications by authors named "Xiao-Zhou Luo"

Objective: To analyze the factors influencing the therapeutic effect of "Shoulder Tri-needles therapy" in the treatment of shoulder-hand syndrome of stroke patients by using machine learning approach, so as to provide a feasibility for improving clinical efficacy.

Methods: A total of 586 stroke patients with shoulder-hand syndrome eligible for this study were involved in our machine learning experiments for classification of the influential factors. Their data including the age, gender, pulse condition, complexion, tongue quality, tongue coating, disease stage, body mass index (BMI), blood pressure, blood glucose, blood triglyceride, blood total cholesterol, smoking history, drinking history, and final outcomes were extracted from the medical record system (from Oct.

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Objective: To evaluate the effectiveness and superiority of acupoint catgut-embedding in the treatment of insomnia.

Methods: Randomized controlled trials (RCTs) for insomnia treated by acupoint implantation of catgut were included in the present study. We searched the related articles from 6 databases (PubMed, Google Scholar, CBM, CNKI, VIP and Wanfang) from the date of inception to March 19, 2017 by using keywords "catgut implantation at acupuncture point" or "catgut implantation at acupoint" and "insomnia" or "agrypnia" and "randomised (or randomized) clinical trial".

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Objective: To evaluate the efficacy and safety of acupuncture in the treatment of epilepsy.

Methods: We first collected research data about randomized control trials (RCTs) of acupuncture treatment of epilepsy from databases CNKI, CBM, VIP and Wanfang using key words "(acupuncture)", "(epilepsy)"or "(epilepsy)"or "(epilepsy)", and from PubMed, Google Scholar, and Cochrane Library using key words "acupuncture" "needling" "prod" "epilepsy" "epilepsies" or "seizure disorder" or "simple seizure" from the date of database construction to May 5, 2017. Then, two researchers extracted the study outcomes and evaluated the evidence qualification of the research data independently using GRADE profile 3.

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