The relative importance of modifiable potential risk factors of type 2 diabetes: a meta-analysis of two cohorts

2009 ◽  
Vol 25 (2) ◽  
pp. 115-124 ◽  
Author(s):  
Maarit A. Laaksonen ◽  
Paul Knekt ◽  
Harri Rissanen ◽  
Tommi Härkänen ◽  
Esa Virtala ◽  
...  
2020 ◽  
Author(s):  
Dezheng Tang ◽  
Entang Wang ◽  
Yifan Xu ◽  
Chao Liang ◽  
Changying Liu ◽  
...  

Abstract Background: It is commonly accepted glycemic control can decrease the negative effects of implant in type 2 diabetes mellitus (T2DM) patients. Whether the remaining pathological changes besides hyperglycemia caused by T2DM will affect implant-bone integration during the healing period has remained unclear. This study aims to determine whether other risk factors besides hyperglycemia lead to failed osseointegration in T2DM patients during healing period. Methods: First, we compared the success rate between T2DM patients and non-T2DM patients during the healing period at our center. Bone marrow mesenchymal stem cells (BMSCs) were cultured from all enrolled subjects. Then, proteomics was used to detect differentially expressed proteins (DEPs) among the DM failure (DM-F), DM success (DM-S) and control (Con) groups. Additionally, the relationship between expression of the nine target DEPs and glucose concentration in media was investigated. Results: Significantly higher failure rates in T2DM patients were found. Fifty-two DEPs were found in DM-F group compared with DM-S group. Seventy-three DEPs were found in DM-F group compared with the Con group. Forty-three DEPs were found in DM-S group compared with Con group. Four target DEPs was influenced by glucose, while the other five expressed the same in different glucose concentration media. DEPs in DM-F group may affect the biological function and regulatory potential of BMSCs through gene ontology annotation and functional enrichment analysis. Conclusions: DEPs in DM-F group can be potential risk factors and intervention targets for dental implant in T2DM patients. More potential risk factors affect implant-bone integration besides hyperglycemia.


Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 1039-P
Author(s):  
JULIE SETTLES ◽  
CHRISTOPHER J. CHILD ◽  
MAGDALIZ GORRITZ ◽  
JASJIT K. MULTANI ◽  
CATHERINE MCGUINESS ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Xiaobo Liu ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  

Abstract Background The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM. Methods We will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran’s Q and I2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger’s test to assess publication bias. Discussion This systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration PROSPERO CRD42020182979.


2018 ◽  
Vol 25 (3) ◽  
pp. 321-328
Author(s):  
Bondar Andrei-Cristian ◽  
Popa Amorin-Remus

Abstract It is known that the aged persons with type 2 diabetes mellitus present a high risk for developing neurocognitive disorders and in order to explain this phenomenon we have proposed some potential risk factors. They can be involved in the causality patterns or can act as useful markers of the cerebrovascular lesions (or both) and for which there are strong proofs, including the poor glycemic control, hypoglycemia, microvascular diseases, inflammation or depression. For the macrovascular affections, the association with the cognitive disorders seems to devolve on the examined vascular system. It is put into discussion that for the next researches it is important to analyze how exactly the interrelations between the risk factors can contribute to cognitive disorders.


2020 ◽  
Author(s):  
Xiaobo LIU ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.


Author(s):  
Debby Syahru Romadlon ◽  
Faizul Hasan ◽  
Bayu Satria Wiratama ◽  
Hsiao‐Yean Chiu

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