Pub Date : 2023-09-16DOI: 10.1007/s40200-023-01296-0
Francesco Ferrara, Andrea Zovi, Roberto Langella, Eduardo Nava, Ugo Trama
{"title":"The diabetic patient between sustainability and effectiveness of new treatments","authors":"Francesco Ferrara, Andrea Zovi, Roberto Langella, Eduardo Nava, Ugo Trama","doi":"10.1007/s40200-023-01296-0","DOIUrl":"https://doi.org/10.1007/s40200-023-01296-0","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135306293","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}
{"title":"Assessment of quality of life in patients with permanent hypoparathyroidism receiving conventional treatment","authors":"Faten Cherchir, Ibtissem Oueslati, Meriem Yazidi, Fatma Chaker, Melika Chihaoui","doi":"10.1007/s40200-023-01292-4","DOIUrl":"https://doi.org/10.1007/s40200-023-01292-4","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135436705","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}
Pub Date : 2023-09-09DOI: 10.1007/s40200-023-01274-6
Roxana Karbaschi, Homeira Zardooz
{"title":"Pancreatic GLUT2 protein expression and isolated islets insulin secretion decreased in high-fat fed rat dams","authors":"Roxana Karbaschi, Homeira Zardooz","doi":"10.1007/s40200-023-01274-6","DOIUrl":"https://doi.org/10.1007/s40200-023-01274-6","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136192033","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}
Pub Date : 2023-09-09DOI: 10.1007/s40200-023-01291-5
Mehdi Mirzaei-Alavijeh, Seyyed Nasrollah Hosseini, Marzieh Niksirt, Amir Hossein Hashemian, Shima Khashij, Farzad Jalilian
{"title":"The efficacy of theory driven treatment adherence promotion program among type 2 diabetic patients: application of intervention mapping and mHealth","authors":"Mehdi Mirzaei-Alavijeh, Seyyed Nasrollah Hosseini, Marzieh Niksirt, Amir Hossein Hashemian, Shima Khashij, Farzad Jalilian","doi":"10.1007/s40200-023-01291-5","DOIUrl":"https://doi.org/10.1007/s40200-023-01291-5","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136193031","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}
{"title":"Impact of protein deficient diet on the pharmacokinetics of glibenclamide in a model of malnutrition in rats","authors":"Sachin Tembhurne, Preetam Palkar, Swati Kolhe, Santosh Gandhi","doi":"10.1007/s40200-023-01282-6","DOIUrl":"https://doi.org/10.1007/s40200-023-01282-6","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136192032","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}
Pub Date : 2023-05-25DOI: 10.1007/s40200-023-01224-2
Mehrdad Valipour, Davood Khalili, Masoud Solaymani-Dodaran, Seyed Abbas Motevalian, Mohammad Ebrahim Khamseh, Hamid Reza Baradaran
Cardiovascular diseases are the first leading cause of mortality in the world. Practical guidelines recommend an accurate estimation of the risk of these events for effective treatment and care. The UK Prospective Diabetes Study (UKPDS) has a risk engine for predicting CHD risk in patients with type 2 diabetes, but in some countries, it has been shown that the risk of CHD is poorly estimated. Hence, we assessed the external validity of the UKPDS risk engine in patients with type 2 diabetes identified in the national diabetes program in Iran. The cohort included 853 patients with type 2diabetes identified between March 21, 2007, and March 20, 2018 in Lorestan province of Iran. Patients were followed for the incidence of CHD. The performance of the models was assessed in terms of discrimination and calibration. Discrimination was examined using the c-statistic and calibration was assessed with the Hosmer–Lemeshow χ2 statistic (HLχ2) test and a calibration plot was depicted to show the predicted risks versus observed ones. During 7464.5 person-years of follow-up 170 first Coronary heart disease occurred. The median follow-up was 8.6 years. The UKPDS risk engine showed moderate discrimination for CHD (c-statistic was 0.72 for 10-year risk) and the calibration of the UKPDS risk engine was poor (HLχ2 = 69.9, p < 0.001) and the UKPDS risk engine78% overestimated the risk of heart disease in patients with type 2 diabetes identified in the national diabetes program in Iran. This study shows that the ability of the UKPDS Risk Engine to discriminate patients who developed CHD events from those who did not; was moderate and the ability of the risk prediction model to accurately predict the absolute risk of CHD (calibration) was poor and it overestimated the CHD risk. To improve the prediction of CHD in patients with type 2 diabetes, this model should be updated in the Iranian diabetic population.
心血管疾病是世界上导致死亡的第一大原因。实用指南建议准确估计这些事件的风险，以便进行有效的治疗和护理。英国前瞻性糖尿病研究(UKPDS)有一个预测2型糖尿病患者冠心病风险的风险引擎，但在一些国家，已经表明冠心病的风险估计不准确。因此，我们评估了UKPDS风险引擎在伊朗国家糖尿病计划中确定的2型糖尿病患者中的外部有效性。该队列包括2007年3月21日至2018年3月20日在伊朗洛雷斯坦省发现的853例2型糖尿病患者。随访患者冠心病发生率。从识别和校准两个方面对模型的性能进行了评估。使用c统计量检验差异，使用Hosmer-Lemeshow χ2 (HLχ2)检验评估校准，并绘制校准图以显示预测风险与观察风险。在7464.5人年的随访中，170例首次发生冠心病。中位随访时间为8.6年。UKPDS风险引擎对冠心病的区分程度中等(10年风险的c统计值为0.72)，UKPDS风险引擎的校准较差(HLχ2 = 69.9, p < 0.001)， UKPDS风险引擎高估了伊朗国家糖尿病计划中确定的2型糖尿病患者的心脏病风险78%。这项研究表明，UKPDS风险引擎能够区分发生冠心病事件的患者和没有发生冠心病事件的患者;风险预测模型准确预测冠心病绝对风险(校正)的能力较差，高估了冠心病风险。为了提高对2型糖尿病患者冠心病的预测，该模型应在伊朗糖尿病人群中进行更新。
{"title":"External validation of the UK prospective diabetes study (UKPDS) risk engine in patients with type 2 diabetes identified in the national diabetes program in Iran","authors":"Mehrdad Valipour, Davood Khalili, Masoud Solaymani-Dodaran, Seyed Abbas Motevalian, Mohammad Ebrahim Khamseh, Hamid Reza Baradaran","doi":"10.1007/s40200-023-01224-2","DOIUrl":"https://doi.org/10.1007/s40200-023-01224-2","url":null,"abstract":"Cardiovascular diseases are the first leading cause of mortality in the world. Practical guidelines recommend an accurate estimation of the risk of these events for effective treatment and care. The UK Prospective Diabetes Study (UKPDS) has a risk engine for predicting CHD risk in patients with type 2 diabetes, but in some countries, it has been shown that the risk of CHD is poorly estimated. Hence, we assessed the external validity of the UKPDS risk engine in patients with type 2 diabetes identified in the national diabetes program in Iran. The cohort included 853 patients with type 2diabetes identified between March 21, 2007, and March 20, 2018 in Lorestan province of Iran. Patients were followed for the incidence of CHD. The performance of the models was assessed in terms of discrimination and calibration. Discrimination was examined using the c-statistic and calibration was assessed with the Hosmer–Lemeshow χ2 statistic (HLχ2) test and a calibration plot was depicted to show the predicted risks versus observed ones. During 7464.5 person-years of follow-up 170 first Coronary heart disease occurred. The median follow-up was 8.6 years. The UKPDS risk engine showed moderate discrimination for CHD (c-statistic was 0.72 for 10-year risk) and the calibration of the UKPDS risk engine was poor (HLχ2 = 69.9, p < 0.001) and the UKPDS risk engine78% overestimated the risk of heart disease in patients with type 2 diabetes identified in the national diabetes program in Iran. This study shows that the ability of the UKPDS Risk Engine to discriminate patients who developed CHD events from those who did not; was moderate and the ability of the risk prediction model to accurately predict the absolute risk of CHD (calibration) was poor and it overestimated the CHD risk. To improve the prediction of CHD in patients with type 2 diabetes, this model should be updated in the Iranian diabetic population.","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136248324","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}
Pub Date : 2023-01-28eCollection Date: 2024-12-01DOI: 10.1007/s40200-023-01183-8
Fatemeh Bahramnezhad, Alun C Jackson, Banafsheh Ghorbani, Mahmoud Shiri Kahnouei, Farshad Sharifi, Reza Negarandeh, Elaheh Salamat
Background: The families of diabetics are more likely to have diabetes. Therefore, paying attention to those households and seeking to change the way of life of those households can save diabetes to a high extent. The present study aimed to investigate the impact of cognitive-behavioral applications primarily based on interactive software on serum glucose levels and HbA1C of a family member of sufferers with kind 2 diabetes.
Methods: In the present randomized clinical trial, families of diabetic patients meeting the inclusion criteria will be divided into intervention and control groups by simple random sampling. In the laboratory, 10 cc of blood samples will be taken from the participants for the tests of total cholesterol, triglyceride, fasting blood sugar, GTT, HDL-c, LDL-c, and HbA1c. Then, both groups complete the International Physical Activity Questionnaire, Adolescence Food Habit Checklist, and Glover Nilsson Smoking Behavioral Questionnaire (GN-SBQ). The intervention group will provided with a training package of lifestyle change based on a cognitive-behavioral program in the form of an application during eight sessions of 45 min in 8 weeks. Then, the laboratory tests and questionnaires will be completed again 6 and 12 months after the intervention. Data will be analyzed using statistical tests.
Discussion: If an application-based cognitive-behavioral program changes the lifestyle, serum glucose levels, and HbA1C, it can be recommended to families of diabetics.
{"title":"The Effect of a cognitive behavioral program based on an interactive application on serum glucose levels and HbA1C of family members of patients with type 2 diabetes: a study protocol for a randomized clinical trial.","authors":"Fatemeh Bahramnezhad, Alun C Jackson, Banafsheh Ghorbani, Mahmoud Shiri Kahnouei, Farshad Sharifi, Reza Negarandeh, Elaheh Salamat","doi":"10.1007/s40200-023-01183-8","DOIUrl":"10.1007/s40200-023-01183-8","url":null,"abstract":"<p><strong>Background: </strong>The families of diabetics are more likely to have diabetes. Therefore, paying attention to those households and seeking to change the way of life of those households can save diabetes to a high extent. The present study aimed to investigate the impact of cognitive-behavioral applications primarily based on interactive software on serum glucose levels and HbA1C of a family member of sufferers with kind 2 diabetes.</p><p><strong>Methods: </strong>In the present randomized clinical trial, families of diabetic patients meeting the inclusion criteria will be divided into intervention and control groups by simple random sampling. In the laboratory, 10 cc of blood samples will be taken from the participants for the tests of total cholesterol, triglyceride, fasting blood sugar, GTT, HDL-c, LDL-c, and HbA1c. Then, both groups complete the International Physical Activity Questionnaire, Adolescence Food Habit Checklist, and Glover Nilsson Smoking Behavioral Questionnaire (GN-SBQ). The intervention group will provided with a training package of lifestyle change based on a cognitive-behavioral program in the form of an application during eight sessions of 45 min in 8 weeks. Then, the laboratory tests and questionnaires will be completed again 6 and 12 months after the intervention. Data will be analyzed using statistical tests.</p><p><strong>Discussion: </strong>If an application-based cognitive-behavioral program changes the lifestyle, serum glucose levels, and HbA1C, it can be recommended to families of diabetics.</p>","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"35 1","pages":"2385-2393"},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86274877","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}
Pub Date : 2022-05-03DOI: 10.1007/s40200-022-01035-x
Musaab Ahmed, N. Kumari, Zain Mirgani, A. Saeed, Azza Ramadan, M. H. Ahmed, A. O. Almobarak
{"title":"Correction to: Metabolic syndrome; Definition, Pathogenesis, Elements, and the Effects of medicinal plants on it’s elements","authors":"Musaab Ahmed, N. Kumari, Zain Mirgani, A. Saeed, Azza Ramadan, M. H. Ahmed, A. O. Almobarak","doi":"10.1007/s40200-022-01035-x","DOIUrl":"https://doi.org/10.1007/s40200-022-01035-x","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"1 1","pages":"1217"},"PeriodicalIF":0.0,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90179007","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}
Pub Date : 2022-01-06DOI: 10.1007/s40200-021-00950-9
Marjan Farzad, Shima Jafari, Fatemeh Baghernezhad Hesary, F. H. Chahkandak, T. Kazemi, Saeede Khosravi Bizhaem, F. Sharifi
{"title":"Statin treatment and serum low-density lipoprotein (LDL) level in the Birjand elderly dwellers: Birjand Longitudinal Aging Study (BLAS) Wave3","authors":"Marjan Farzad, Shima Jafari, Fatemeh Baghernezhad Hesary, F. H. Chahkandak, T. Kazemi, Saeede Khosravi Bizhaem, F. Sharifi","doi":"10.1007/s40200-021-00950-9","DOIUrl":"https://doi.org/10.1007/s40200-021-00950-9","url":null,"abstract":"","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"30 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78871785","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}
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