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The acupuncture case registry study is focusing on acupuncture therapy data from patient cases. The main objective is to collect real-world data and integrate clinically meaningful outcome evaluation indicators to uncover and evaluate real-world acupuncture efficacy and safety, explore factors affecting acupuncture efficacy, and provide real-world evidence to complement RCTs. Since the International Acupuncture Case Registry data collection system's establishment in 2017, 16 projects have been underway, including two acupuncture specialty therapies and 15 diseases. Data from 3404 patients included extensive information on the diagnosis and treatment of acupuncture and the evaluation of its efficacy. In order to serve as a guide for future studies, this article discusses the value of and rationale for establishing acupuncture case registry studies, how to distinguish them from patient registries, and crucial techniques for implementing registry studies in terms of applications, patient recruitment, costakeholder collaboration, data collection and management, study quality control, and ethics. [ABSTRACT FROM AUTHOR]

Background. Observational studies from China suggest that Kangbingdu oral liquid (KBD) may be effective in treating the common cold. Objective. Reevaluation of efficacy and safety of Kangbingdu oral liquid after marketing and expanding population. Design. Prospective, Pragmatic randomized controlled trial (Chictr.org.cn registration number: chiCTR-TRC-12002399). Setting. Eleven hospitals from 3 provinces in China. Patients were recruited through 11 centers, including 7 teaching hospitals, 2 University health services, one military clinic, and one community hospital. Patients. 2647 persons aged 18 to 75 years with Common cold. Intervention. Patients were randomly allocated to 2 groups: the treatment group Kangbingdu oral liquid (composed of 9 Chinese herbal medicines and honey) and the placebo group were divided into a standard-dose group of 10 ml every time, a middle dose group of 20 ml every time, high dose group of 30 ml every time, 3 times daily. Interventions and control were given for 5 days. Measurements. The primary outcome is the mean amount of total scores measured by the 11-primary symptoms: to observe the change of main symptoms from severe to disappear and to calculate and compare the mean amount of total scores after the periods of observation. Secondary outcomes are the disappearance rate of each symptom and the median time of body temperature returned to normal. Results. On day 5, the Kangbingdu liquid group had significant reductions in the mean amount of total scores measured by the 11-primary symptoms (7.39 [95% CI 7.26 to 7.51] compared to the placebo group (6.43 [95%: CI 6.24 to 6.62]). The Kangbingdu liquid can improve the remission rate of accompanying symptoms on day 5 including aversion to wind, aversion to cold, fever, cough, stuffy, runny nose, sore throat, muscular aches, headache, fatigue, and sweat (P < 0.0001). Significant reductions in time of body temperature to return to normal in the Kangbingdu liquid group (P50, 48.33 [95% CI 46.00 to 52.50] compared with the control group (P50, 64.59 [95% CI 51.08 to 70.50] (P = 0.0022). 13 (0.7%) participants in the Kangbingdu liquid group and 1(0.2%) participants in the placebo group (P > 0.05) had treatment-related AEs, which mainly include diarrhea and dyspepsia in the Kangbingdu liquid group and constipation in the placebo group. Conclusion. The study's conclusion in this paper was based on the placebo, Kangbingdu oral liquid two groups which clinically diagnosed the common cold and flu. (1) Kangbingdu oral liquid can effectively improve the comprehensive clinical symptoms of common adult cold, also improved main symptoms, including sore throat, muscle aches, headache, and so on. (2) Kangbingdu oral liquid effectively shortens the time of body temperature to return to normal. [ABSTRACT FROM AUTHOR]

Objectives. The purpose of this study was to observe the clinical efficacy of the reinforcing and circulation-promoting protocol of acupuncture and moxibustion in treatment of refractory chronic low back pain, analyze therapeutic principles to obtain treatment efficacy, and develop new therapeutic principles to treat chronic low back pain. Methods. Twenty-four patients from the registry of patients suffering from refractory chronic low back pain were invited to our self-controlled case series, which was conducted in "real-world" settings. We implemented the reinforcing and circulation-promoting protocol of acupuncture and moxibustion to treat these patients and used the Visual Analogue Scale (VAS) and the Oswestry Disability Index (ODI) as the observation indices. Results. All 24 patients completed the treatment of acupuncture and moxibustion. The VAS of low back pain was 6.83 ± 2.18 before treatment and 2.13 ± 1.45 after treatment. The difference before and after treatment was significant (P < 0.001). The ODI was 28.21 ± 13.06 before treatment and 16.63 ± 7.20 after treatment. Their difference before and after treatment was significant (P < 0.001). Conclusion. The reinforcing and circulation-promoting protocol of acupuncture and moxibustion is effective in treating refractory chronic low back pain mainly because low back pain can be significantly relieved and motor function can be promoted. This trial was registered with AMCTR-OOO-17000045 (3 December 2016). [ABSTRACT FROM AUTHOR]

Objective. To explore the optimal fitting path of missing data of the Scale to make the fitting data close to the real situation of patients' data. Methods. Based on the complete data set of the SDS of 507 patients with stroke, the data simulation sets of Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR) were constructed by R software, respectively, with missing rates of 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40% under three missing mechanisms. Mean substitution (MS), random forest regression (RFR), and predictive mean matching (PMM) were used to fit the data. Root mean square error (RMSE), the width of 95% confidence intervals (95% CI), and Spearman correlation coefficient (SCC) were used to evaluate the fitting effect and determine the optimal fitting path. Results. when dealing with the problem of missing data in scales, the optimal fitting path is ① under the MCAR deletion mechanism, when the deletion proportion is less than 20%, the MS method is the most convenient; when the missing ratio is greater than 20%, RFR algorithm is the best fitting method. ② Under the Mar mechanism, when the deletion ratio is less than 35%, the MS method is the most convenient. When the deletion ratio is greater than 35%, RFR has a better correlation. ③ Under the mechanism of MNAR, RFR is the best data fitting method, especially when the missing proportion is greater than 30%. In reality, when the deletion ratio is small, the complete case deletion method is the most commonly used, but the RFR algorithm can greatly expand the application scope of samples and save the cost of clinical research when the deletion ratio is less than 30%. The best way to deal with data missing should be based on the missing mechanism and proportion of actual data, and choose the best method between the statistical analysis ability of the research team, the effectiveness of the method, and the understanding of readers. [ABSTRACT FROM AUTHOR]

Background and Objectives. The development of network medicine provides new opportunities for disease research. Ischemic stroke has a high incidence, disability, and recurrence rate, and one of the reasons is that it is often accompanied by other complex diseases, including risk factors, complications, and comorbidities. Network medicine was used to try to analyze the characteristics of IS-related diseases and find out the differences in genetic pathways between Chinese herbs and Western drugs. Methods. Individualized treatment of traditional Chinese medicine (TCM) provides a theoretical basis for the study of the personalized classification of complex diseases. Utilizing the TCM clinical electronic medical records (EMRs) of 7170 in patients with IS, a patient similarity network (PSN) with shared symptoms was constructed. Next, patient subgroups were identified using community detection methods and enrichment analyses were performed. Finally, genetic data of symptoms, herbs, and drugs were used for pathway and GO analysis to explore the characteristics of pathways of subgroups and to compare the similarities and differences in genetic pathways of herbs and drugs from the perspective of molecular pathways of symptoms. Results. We identified 34 patient modules from the PSN, of which 7 modules include 98.48% of the whole cases. The 7 patient subgroups have their own characteristics of risk factors, complications, and comorbidities and the underlying genetic pathways of symptoms, drugs, and herbs. Each subgroup has the largest number of herb pathways. For specific symptom pathways, the number of herb pathways is more than that of drugs. Conclusion. The research of disease classification based on community detection of symptom-shared patient networks is practical; the common molecular pathway of symptoms and herbs reflects the rationality of TCM herbs on symptoms and the wide range of therapeutic targets. [ABSTRACT FROM AUTHOR]

Background. Daodi medicinal material is widely used in Chinese herb medication. However, there is a lack of systematic methodology for identifying characteristics associated with good quality and reliable efficacy of Daodi med-material. Purpose. The purpose of this study is to provide some evidence to further substantiate the use of Daodi medicinal materials. Methods. Seven relevant databases were searched before July 2014. Two evaluators were responsible for screening and categorizing the results. The data was analyzed with Microsoft Excel 2007 and SPSS 21.0 statistical software. Results. Overall, 107 articles were systematically analyzed. Of these studies, 55.1% (59/107) focused on the methodology to assess Daodi med-material, and 38.3% (41/107) were interested in med-material ingredients, soil physical and chemical properties, and the geological background system (GBS). Only 6.5% (7/107) of studies were mainly conducted as clinical trials and animal experiments. Conclusion. Comparisons between Daodi and non-Daodi materials have been studied mainly in terms of the ingredients or composition of medical materials, soil physics and chemistry, and the GBS, and some identifying methodologies have been created to identify Daodi attributes. Until now, there is still no consensus of comparison criteria between Daodi and non-Daodi medicinal material. Only a few studies were conducted through animal experiments and clinical trials to determine Daodi superiority. [ABSTRACT FROM AUTHOR]

Purpose. To analyze and compare the clinical registration information about acupuncture and moxibustion for intervention characteristics. Methods. Clinical trials from the International Clinical Trials Registry Platform of the World Health Organization in acupuncture and moxibustion were comprehensively collected from 2013 to 2015; data were independently screened and extracted by two retrievers, and relevant data involving either basic descriptions or intervention characteristics were analyzed. Results. 425 acupuncture and moxibustion registered clinical trials were included; 88.00% (374/425) were designed as controlled studies, among which 38.59% (164/425) had sham acupuncture as the control group. The most common diseases were pain-related at approximately 19.29% (82/425) of trials. Reports on the intervention information in these acupuncture and moxibustion clinical studies were not sufficiently presented; these reports included the reporting of names of points (39.8%), the method of needle stimulation (32.5%), needle type (29.6%), needle retention time (34.1%), the number of treatment sessions (22.4%), and the frequency and duration of treatment sessions (38.1%). Conclusion. The registration information for the clinical trials of acupuncture and moxibustion was quite low according to this investigational study. Steps should be taken to improve the quality of acupuncture and moxibustion registration information. [ABSTRACT FROM AUTHOR]

We consider the analysis of an AIDS dataset where each patient is characterized by a list of symptoms and is labeled with one or more TCM syndromes. The task is to build a classifier that maps symptoms to TCM syndromes. We use the minimum reference set-based multiple instance learning (MRS-MIL) method. The method identifies a list of representative symptoms for each syndrome and builds a Gaussian mixture model based on them. The models for all syndromes are then used for classification via Bayes rule. By relying on a subset of key symptoms for classification, MRS-MIL can produce reliable and high quality classification rules even on datasets with small sample size. On the AIDS dataset, it achieves average precision and recall 0.7736 and 0.7111, respectively. Those are superior to results achieved by alternative methods. [ABSTRACT FROM AUTHOR]