Objective: To explore the clinical medication rule of seborrheic dermatitis in modern Chinese medicine by data mining, in order to benefit the clinical treatment of seborrheic dermatitis in traditional Chinese medicine. Methods: From January 1, 2010 to September 4, 2019, articles on Chinese medicine for seborrheic dermatitis were searched systematically in CNKI, VIP and Wan Fang databases. Prescription databases were established through the Chinese Medicine Inheritance assistant system to mine and analyze the rules of data. Results: 69 researches were screened out, 72 prescriptions for seborrheic dermatitis. 13 drugs were used more than or equal to 15 times, and 9 pairs of commonly used drugs with correlation coefficient above 0.045 were selected. Six core combinations and two new prescriptions were obtained. Conclusion: Data mining method was used to analyze the high-frequency drugs and drug pairs, which reflected the treatment principle of clearing heat and removing dampness, nourishing blood and moistening dryness, promoting qi and strengthening spleen in the clinical treatment of seborrheic dermatitis, and provided more intuitive research evidence for the follow-up clinical treatment.
Objective: The meta-analysis aims to evaluate the efficacy of written emotional disclosure on burden, trauma
symptoms and health status in primary caregivers of the patient. Methods: Randomized controlled trials (RCTs) of
written emotional disclosure in primary caregivers of the patient were retrieved from multiple electronic databases
such as the Cochrane Library, PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure
(CNKI), VIP Database for Chinese Technical Periodicals (VIP), Chinese Biomedicine Database (CBM) and Wan
Fang database (Wan Fang) until August 2019. The eligible studies were screened and evaluated independently by
two researchers. Then, we analyzed the extracted data by RevMan 5.3 software. Results: A total of 7 randomized
controlled trials (RCT) with 352 primary caregivers were included. The quality evaluation grade of the 3 articles
included in the literature was “A”, and the rests was “B”. Meta-analysis showed that compared with the control
group, written emotional disclosure could alleviate the burden of patients' primary caregivers [SMD = 0.26, 95%
CI (0.02, 0.49), P = 0.03]. The results showed that there was no significant difference between the two groups
in alleviating trauma-like symptoms [MD = 3.30, 95% CI (-4.52, 11.11), P = 0.41]. There was no significant
difference in the mean score of the General Health Questionnaire (GHQ) between the two groups [MD = -1.94,
95% CI (-11.11, 7.23), P = 0.68]. Besides, there was no significant difference between the two groups in improving
their physical and mental health [SMD = 0.28, 95% CI (-0.17, 0.73), P = 0.22; SMD = -0.43, 95% CI (-0.88,
0.02), P = 0.06]. Conclusion: Written emotional disclosure can effectively alleviate the burden in patients' primary
caregivers. However, the effects on trauma-like symptoms, the GHQ score and health status need to be verified by
Objective: The aim of this study was to compare the clinical emcacy of integration of traditional Chinese
medicine (TCM) and we stern medicine, and the western medicine therapy for H type hypertension. Methods:
The randomized contmlled trials were collected via searching the internet. The literatures were screened
according to inclusion and exclusion criteria. All the assignments were performed by two researchers. If there
was disagreement between the two researchers, we would ask evidence based medicine expert for advice, to get
an optimal result. The database included the ChianInfo (1978—2015), the Superstar database (1955—2017), the
CBM(1985—2017), CNKI(1984—2017), PubMed(1966—2017). Accordingto Meta analysis, the RevMan 5.2
software was used to recover and analyze the literatures, and make the assessment of the integration of TCM
and westem medicine in treating H Type Hypertension. Results: In the study, 12 trials were included. The total
number of cases is 1139. The Meta analysis results showed that: Compared with western medicine the integration
of TCM and western medicine would improve the antihypertensive efficacy [OR=0.39, 95%CI (0.25, 0.59),
Z=4.38(P< 0.0001)],lower Hcy levels [WMD=-1.93, 95%CI (-2.27, 0.21), Z=4.38 (P< 0.0001)]. Conclusion: The
combination therapy can effectively reduce Hcy levels, control blood pressure, better than Western medicine.
Objective: To systematically evaluate the efficacy and feasibility of high-flow nasal cannula (HFNC) on patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods: Systematic searches on PubMed, Web of Science, the Cochrane Library, Embase, CBM (Chinese Biomedicine Database), CNKI (China National Knowledge Infrastructure), Wanfang Database and VIP were performed for randomized controlled trials (RCTs) which explored the effects of HFNC on patients with AECOPD. The retrieval time was from the establishment of each database to July 2019. RevMan5.3 software was used for statistical analysis. Results: A total of 12 articles were included, involving 812 patients. The results showed that: (1) Compared with conventional oxygen therapy, HFNC could improve patients' arterial partial oxygen pressure (PaO2) (MD = 12.70, 95% CI (7.00,18.40), Z = 4.37, P < 0.0001), reduce partial arterial blood carbon dioxide (PaCO2) (MD = -10.99, 95% CI (-14.42, -7.55), Z = 6.26, P < 0.00001) and reduce endotracheal intubation rate (OR = 0.19, 95% CI (0.04, 0.93), Z = 2.05, P = 0.04), shorten the hospitalization time (SMD = -0.74, 95% CI (-1.11,-0.37), Z = 3.95, P < 0.0001). (2) Compared with non-invasive positive pressure ventilation, it has fewer adverse reactions (OR = 0.18, 95% CI (0.09, 0.35), Z = 5.08, P < 0.00001) and shorter hospital stay (SMD = -0.57,95% CI (-0.90,-0.23), Z = 3.33, P = 0.0009). Conclusion: HFNC can improve the patients’ hypoxia symptoms and CO2 retention, reduce the rate of tracheal intubation, and alleviate adverse reactions. However, Limited by the quality and region of the included studies, more high-quality are needed to test it.
Purpose: In the present study, we focused on the 46 microRNAs and 719 genes in the microRNA-gene network, reported by us, and aimed to build a research blueprint of feedforward loops and reveal the key TFs in H1N1-infected mouse lung. Method: Based on microRNAs and genes in the microRNA-gene network previously reported by us, we used Jemboss software to find relationships between TFs and microRNAs (or genes), and then built a TF-microRNA-gene network exploiting the interactions between TFs and microRNAs (or genes). Next, we searched the sequences of above genes or microRNAs near the transcription start site (TSS) area, and then used the MatchTM algorithm to predict relevant TFs, and built the TF-Gene-Network. Result: We built a TF-microRNA-gene network and exploreed eight key TFs, namely NF-AT1, GKLF, SRY, SOX10, AML1, MZF1, CRX and myogenin, in the network, and then constructed subgraphs of these eight TFs. Simultaneously, we predicted the possible target genes of microRNAs and identified the feedforward regulation relationship of possible TFs, microRNAs and mRNAs. The results showed that all eight factors with a score greater than 100 were TFs, namely NF-AT1, GKLF, SRY, SOX10, AML1, CRX, myogenin and MZF1. We then constructed subtables of the above eight TFs.Conclusion: In this study, TFs including NF-AT1, GKLF, SRY, SOX10, AML1, MZF1, CRX and myogenin showed the highest score ( > 100) not only in the TF-microRNA-gene network but also in feedforward loops, indicating that these eight TFs play the most important roles in mouse H1N1 influenza virus infection biology.
Objective: This study aims to explore the regularity of syndrome differentiation and treatment of traditional Chinese medicine (TCM) for allergic purpura.
Methods: CNKI, Weipu Chinese science and technology database, wanfang medical network database, and Chinese biomedical literature database were searched for eligible studies. Medical records including complete patient personal information, patient symptoms, TCM syndromes, treatment, and medication were included. The data was analyzed using the Chinese medicine heritage support platform provided by the Chinese Academy of Chinese medicine (V2.5). Results: Differentiation of health gas camp blood was the most commonly used method of differentiation of symptoms and signs in famous veteran TCM. The treatment included cooling blood, activating blood circulation, clearing heat and detoxifying toxins, removing blood stasis and stopping bleeding. Honeysuckle, Forsythia suspensa, cicada slough and other drugs were interrelated. Potential drug pair combinations and drug networks showed the basic drug composition of Qingying Decoction. According to the entropy cluster analysis, 28 core drug combination and 12 new formulations were obtained. Conclusion: The regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on the famous and old TCM doctors was complex. Further researches are still needed.
Objective: This study aimed to collect, sort out and excavate the literature on the diagnosis and treatment of insomnia in Chinese Medical Code, and to explore the law of internal administration of traditional Chinese medicine in the treatment of insomnia. Methods: We used "Chinese Medical Code" as the source of data retrieval, "insomnia", "not sleepy", "no sleeping" and "eye not sleeping" as the key words, and excluded temporary insomnia, physiological insomnia, insomnia caused by other diseases, and excluded other methods such as acupuncture and massage, the medical cases. Prescriptions of insomnia treated with traditional Chinese medicine were screened out. The database was established by using Microsoft excel 2010. Descriptive statistics were used to analyze the frequency, menstruation of nature, taste and efficacy of traditional Chinese medicine. We analyzed the association rules between drugs and mined the rules of prescriptions by the Apriori algorithm in SPSS Modeler 14.1. Results: A total of 147 prescriptions, 138 traditional Chinese medicines, 20 pairs of core drugs, 57 common drug combinations and 3 core pharmaceuticals were included. The basic prescription is:Suan Zao Ren, Bai Zi Ren, Fu Shen, Fu Ling, Yuan Zhi, Dang Gui, Gan Cao (Zhi). Conclusion: In summary, according to the drug analysis above, the main disease of insomnia is in the heart, involving the liver, spleen and kidney. Because it involves different viscera and syndrome, the methods of treatment are also different. However, there is a basic pathogenesis, that’s the loss of mental nourishment. By excavating the law of the use of traditional Chinese medicine in the treatment of insomnia on the Chinese Medical Code, we expect that it can guide the treatment of insomnia.
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