Treating chronic atrophic gastritis: identifying sub-population based on real-world TCM electronic medical records.

Background And Objective: Chronic atrophic gastritis (CAG) is a complex chronic disease caused by multiple factors that frequently occurs disease in the clinic. The worldwide prevalence of CAG is high. Interestingly, clinical CAG patients often present with a variety of symptom phenotypes, which makes it more difficult for clinicians to treat.

Efficacy of Chinese Medicine Treatment Based on Syndrome Differentiation for Primary Insomnia: A Randomized Placebo Controlled Triple-Blinded Trial.

Objective: To assess efficacy of Chinese medicine (CM) on insomnia considering characteristics of treatment based on syndrome differentiation.

Methods: A total of 116 participants aged 18 to 65 years with moderate and severe primary insomnia were randomized to the placebo (n=20) or the CM group (n=96) for a 4-week treatment and a 4-week follow-up. Three CM clinicians independently prescribed treatments for each patient based on syndromes differentiation.

Construction of a clinical prediction model for the impact of acupuncture on pregnancy outcomes in poor ovarian response (POR) patients based on a patient registry research platform.

Objectives: To construct a clinical prediction model for the impact of acupuncture on pregnancy outcomes in poor ovarian response (POR) patients, providing insights and methods for predicting pregnancy outcomes in POR patients undergoing acupuncture treatment.

Methods: Clinical data of 268 POR patients (2 cases were eliminated) primarily treated with "thirteen needle acupuncture for (regulating menstruation and promoting pregnancy)" was collected from the international patient registry platform of acupuncture moxibustion (IPRPAM) from September 19, 2017 to April 30, 2023, involving 24 clinical centers including Acupuncture-Moxibustion Hospital of China Academy of Chinese Medical Sciences. LASSO and univariate Cox regression were used to screen factors influencing pregnancy outcomes, and a multivariate Cox regression model was established based on the screening results.

Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup.

Objective: To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.

Methods: By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients.

Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity.

Objective: To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities.

Methods: The data set was collected from the Chinese medicine (CM) electronic medical records of 33,458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then, a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities.

Finite element analysis of the effect of power arm locations on tooth movement in extraction space closure with miniscrew anchorage in customized lingual orthodontic treatment.

Introduction: More patients are choosing customized orthodontic appliances because of their excellent esthetics. It is essential that clinicians understand the biomechanics of the tooth movement tendency in customized lingual orthodontics. This study aimed to evaluate the tooth movement tendency during space closure in maxillary anterior teeth with the use of miniscrew anchorage in customized lingual orthodontics with various power arm locations.

SNFM: A semi-supervised NMF algorithm for detecting biological functional modules.

Unraveling protein functional modules from protein-protein interaction networks is a crucial step to better understand cellular mechanisms. In the past decades, numerous algorithms have been proposed to identify potential protein functional modules or complexes from protein-protein interaction (PPI) networks. Unfortunately, the number of PPIs is rather limited, and some interactions are false positive.

Integrated Modules Analysis to Explore the Molecular Mechanisms of Phlegm-Stasis Cementation Syndrome with Ischemic Heart Disease.

Ischemic heart disease (IHD) has been the leading cause of death for several decades globally, IHD patients usually hold the symptoms of phlegm-stasis cementation syndrome (PSCS) as significant complications. However, the underlying molecular mechanisms of PSCS complicated with IHD have not yet been fully elucidated. Network medicine methods were utilized to elucidate the underlying molecular mechanisms of IHD phenotypes.

Detection of herb-symptom associations from traditional chinese medicine clinical data.

Background. Traditional Chinese medicine (TCM) is an individualized medicine by observing the symptoms and signs (symptoms in brief) of patients. We aim to extract the meaningful herb-symptom relationships from large scale TCM clinical data.

[Combination rules of Chinese herbal prescriptions for treating unstable angina based on complex network].

Objective: To explore combination rules of Chinese herbal prescriptions from effective cases for treatment of unstable angina (UA).

Methods: Prescription data from 156 UA patients effectively treated at Cardiovascular Diseases Centre of Xiyuan Hospital were analyzed using complex network method.

Results: According to multi-scale analysis of backbone network and pointwise mutual information analysis, core prescriptions from the 156 UA patients were presented as follows: Rhizoma Ligustici wallichii, Radix Paeoniae rubra, Radix Codonopsis, Rhizoma Pinelliae, poria, and Angelica sinensis.

Human symptoms-disease network.

In the post-genomic era, the elucidation of the relationship between the molecular origins of diseases and their resulting phenotypes is a crucial task for medical research. Here, we use a large-scale biomedical literature database to construct a symptom-based human disease network and investigate the connection between clinical manifestations of diseases and their underlying molecular interactions. We find that the symptom-based similarity of two diseases correlates strongly with the number of shared genetic associations and the extent to which their associated proteins interact.

[Optimized treatment program for unstable angina by integrative medicine based on partially observable Markov decision process].

Objective: To initially optimize comprehensive treatment program for treating and preventing unstable angina (UA) by integrative medicine (IM).

Methods: Based on partially observable Markov decision process model (POMDP), we chose 3 syndrome elements, i.e.

[Discussion on solutions to ethical issues of clinical researches in a real world].

The paradigm of a real world study has become the frontiers of clinical researches, especially in the field of Chinese medicine, all over the world in recent years. In this paper, ethical issues which probably exist in real-world studies are raised and reviewed. Moreover, some preliminary solutions to these issues such as protecting subjects during the process of real-world studies and performing ethical review are raised based on recent years' practices to enhance the scientificity and ethical level of real-world studies.

Discovery of regularities in the use of herbs in Chinese medicine prescriptions.

Chinese medicine (CM) is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically, a number of herbs are combined to form a formula and different formulae are prescribed for different patients.

Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians.

Objective: To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine (CM) physicians for the treatment of insomnia.

Methods: We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing. The sample included 162 patients and 460 consultations in total.

Topic model for Chinese medicine diagnosis and prescription regularities analysis: case on diabetes.

Induction of common knowledge or regularities from large-scale clinical data is a vital task for Chinese medicine (CM). In this paper, we propose a data mining method, called the Symptom-Herb-Diagnosis topic (SHDT) model, to automatically extract the common relationships among symptoms, herb combinations and diagnoses from large-scale CM clinical data. The SHDT model is one of the multi-relational extensions of the latent topic model, which can acquire topic structure from discrete corpora (such as document collection) by capturing the semantic relations among words.

A study on the basic drugs and points for point application in summer to treat the diseases with attacks in winter.

Objective: To study the basic prescriptions of drugs and points for point application in summer to treat the diseases with attacks in winter and the law governing their compatibility.

Methods: A database was set up by collecting and sorting out the relevant literature, and the analysis was made with the complex network.

Results: It was found that Bai Jie Zi (Semen Sinapis Albae), Xi Xin (Herba Asari), Gan Sui (Radix Euphorbiae Kansui) and Yan Hu Suo (Rhizoma Corydalis) were used as the basic prescriptions of drugs, Feishu (BL 13), Dazhui (GV 14) and Shanzhong (CV 17) were selected as the basic prescription of points.

[Analysis of relationships among syndrome, therapeutic treatment, and Chinese herbal medicine in patients with coronary artery disease based on complex networks].

Objective: To analyze the relationships among syndrome, therapeutic method and Chinese herbal medicine in patients with coronary artery disease (CAD).

Methods: Using cross-sectional survey, we collected the clinical information of hospitalized CAD patients through individualized Information Acquisition Platform of CAD. The relationships among syndrome, therapeutic treatment and Chinese herbs were excavated by means of complex networks based on theory of correspondence between prescription and syndrome.

[Efficacy evaluation of Shengmai Injection in treating coronary heart disease based on random walk model].

Objective: To evaluate the clinical effects of Shengmai Injection in treating coronary heart disease (CHD) based on correct syndrome differentiation and incorrect syndrome differentiation.

Methods: The patients' information was collected through a system of individual diagnosis and treatment of CHD. The score of main symptoms was calculated and recorded during the treatment.

[Study on law using Chinese drug of famous old docter of traditional Chinese medicine to coronary heart disease based on association rules].

Objective: To analyze the law that famous old doctor of traditional Chinese medicine (TCM) treat angina pectoris using Chinese drugs, explore the method that well-known doctor's experience was arranged.

Method: Typical medicine case 115 of angina pectoris were collected and well-known doctor coronary heart disease database making a diagnosis was set up, then used association rules to analyze well-known doctor's prescription compatibility law curing coronary heart disease.

Result: In 175 kinds of traditional Chinese medicinal used, the compatibility among blood-activating drug, phlegm-resolving drug and tonic was the most frequently used medicinal groups, Gualou Xiebai decoction, Huoxue decoction and Shengmai powder were the basic formula that well-known doctor treat coronary heart disease, matching and employing between the three form the universal law that the well-known doctor used medicine.

[Summary of professor Tian Cong-huo's commonly-used acupoint prescriptions].

Clinically, professor TIAN Cong-huo pays attention to treatment based on syndrome differentiation, with acupoint selection based on syndrome differentiation. In this present paper, clinically commonly-used 19 acupoint prescriptions, and relatively fixed indication ranges, manipulation methods, modified acupoint prescriptions, and professor TIAN's experience in application of these acupoints are summarized and introduced.