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Ronak Gandhi, Padala Ravi Kumar, Sudhi R Pattanaik, Devadarshini Sahoo

{"title":"Effect of Testosterone Undecanoate on Sexual Functions, Glycaemic Parameters, and Cardiovascular Risk Factors in Hpogonadal Men with Type 2 Diabetes Mellitus.","authors":"Ronak Gandhi, Padala Ravi Kumar, Sudhi R Pattanaik, Devadarshini Sahoo","doi":"10.4103/ijem.ijem_39_22","DOIUrl":"10.4103/ijem.ijem_39_22","url":null,"abstract":"Aims: To study the effect of testosterone undecanoate on sexual functions, glycaemic parameters, and cardiovascular (CV) risk factors in hypogonadal men with type 2 diabetes mellitus (T2DM).Methods: It was an open label, single-arm interventional study where testosterone undecanoate (TU) was used in 105 T2DM males aged 30-60 years with hypogonadism. The effect of TU on sexual functions was assessed using the Aging Male Symptoms (AMS) Scale and the International Index of Erectile Function-5 (IIEF-5) Questionnaire. The effect on glycaemic parameters, cardiovascular risk factors (lipids, high-sensitivity C-reactive protein [hsCRP] and carotid intima media thickness [CIMT]) were assessed over a period of 54 weeks of TU therapy.Results: Prevalence of hypogonadism in T2DM patients was 19.1%, of which 74.1% had functional hypogonadism. AMS and IIEF-5 scores showed negative and positive correlation, respectively, with baseline serum testosterone levels. The AMS score showed a significant reduction of 5.8% and IIEF-5 score improved by 31.5% at 54 weeks of TU therapy. Glycosylated hemoglobin (HbA1c), homeostatic model assessment for insulin resistance (HOMA-IR), and lipids such as total cholesterol (TC), low-density lipoprotein (LDL), and triglycerides (TG) were significantly reduced by 0.6%, 10.9%, 6.28%, 9.04%, and 6.77%, respectively, at 54 weeks. CIMT was significantly reduced by 2.57% at 54 weeks, whereas no significant change observed with hsCRP.Conclusions: TU is an effective treatment modality for hypogonadal men with T2DM, and it has beneficial effects on sexual functions, glycaemic parameters, and CV risk factors.","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":"43 1","pages":"565-574"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11245296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88736867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Zheng Haibin, Chen Jinyin, Zhang Yan, Z. Xuhong, Ge Chunpeng, Liu Zhe, Ou Yike, Ji Shouling

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Wang Peiyan, Duan Lei, Guo Zhengshan, Jiang Weipeng, Zhang Yidan

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Sun Xueliang, Huang Anxin, Luo Xiapu, Xie Yi

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Xie Juanying, Lu Yinyuan, Kong Weixuan, Xu Shengquan

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Ding Zongyuan, Sun Quansen, Wang Tao, Wang Hong-yuan

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计算机研究与发展 Pub Date : 2021-07-01 DOI: 10.7544/issn1000-1239.2021.20200818

H. Chen, S. Jin, W. Lin, Z. Zhu, L. Tong, Y. Liu, Y. Ye, W. Jiang, Z. Liu, M. Sun, J. Jin

{"title":"Quantitative Analysis on the Communication of COVID-19 Related Social Media Rumors","authors":"H. Chen, S. Jin, W. Lin, Z. Zhu, L. Tong, Y. Liu, Y. Ye, W. Jiang, Z. Liu, M. Sun, J. Jin","doi":"10.7544/issn1000-1239.2021.20200818","DOIUrl":"https://doi.org/10.7544/issn1000-1239.2021.20200818","url":null,"abstract":"The outbreak of the COVID -19 pandemic is accompanied by numerous rumors spreading on the social media platform, which seriously affects the stability of society and the safety of public. Existing quantitative analyses of COVID -19 related social media rumors only focus on single element of communication, such as content, while ignoring other basic elements of communication, including communicator, audience, and effect. Besides, compared with the real social media rumor data, the rumor data of these studies have distribution bias and lack of information. Therefore, we conduct a more comprehensive quantitative analysis on the communication of COVID -19 related social media rumors based on the Sina Weibo platform. Specifically, we first analyze the communication content of rumors, including the analysis of the topic, involved regions, event tendency and sentiment. Further, we investigate the users engaged in rumor communication and divide the users into three categories, namely, rumor posters, rumor spreaders, and rumor informers. We explore the basic attributes, topic preferences, individual sentiments, and self-network characteristics of the engaged users. Finally, we study the public opinion triggered by rumors, including the overall sentiment distribution, its correlation with topics, keywords and regions, as well as the evolution of sentiment. To conclude, this study first quantitatively analyzes COVID -19 related social media rumors from the perspective of different basic elements in communication. It provides a more comprehensive and profound understanding of COVID -19 related social media rumors and is of great value for both research and management of rumor in public emergencies. © 2021, Science Press. All right reserved.","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":"58 1","pages":"1366-1384"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43667947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

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