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Metabolic Syndrome and Kidney Disease: A Systematic Review and Meta-analysis

TLDR
MetS and its components are associated with the development of eGFR <60 ml/min per 1.73 m(2) and microalbuminuria or overt proteinuria and the strength of this association seemed to increase as the number of components of MetS increased.
Abstract
Summary Background and objectives Observational studies have reported an association between metabolic syndrome (MetS) and microalbuminuria or proteinuria and chronic kidney disease (CKD) with varying risk estimates. We aimed to systematically review the association between MetS, its components, and development of microalbuminuria or proteinuria and CKD. Design, setting, participants and measurements and population We searched MEDLINE (1966 to October 2010), SCOPUS, and the Web of Science for prospective cohort confidence interval (CI) studies that reported the development of microalbuminuria or proteinuria and/or CKD in participants with MetS. Risk estimates for eGFR 60 ml/min per 1.73 m 2 were extracted from individual studies and pooled using a random effects model. The results for proteinuria outcomes were not pooled because of the small number of studies. Results Eleven studies (n 30,146) were included. MetS was significantly associated with the development of eGFR 60 ml/min per 1.73 m 2 (odds ratio, 1.55; 95% CI, 1.34, 1.80). The strength of this association seemed to increase as the number of components of MetS increased (trend P value 0.02). In patients with MetS, the odds ratios (95% CI) for development of eGFR 60 ml/min per 1.73 m 2 for individual components of MetS were: elevated blood pressure 1.61 (1.29, 2.01), elevated triglycerides 1.27 (1.11, 1.46), low HDL cholesterol 1.23 (1.12, 1.36), abdominal obesity 1.19 (1.05, 1.34), and impaired fasting glucose 1.14 (1.03, 1.26). Three studies reported an increased risk for development of microalbuminuria or overt proteinuria with MetS. Conclusions MetS and its components are associated with the development of eGFR 60 ml/min per 1.73 m 2 and microalbuminuria or overt proteinuria.

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References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

TL;DR: Intensive therapy effectively delays the onset and slows the progression of diabetic retinopathy, nephropathy, and neuropathy in patients with IDDM.
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Meta-analysis of observational studies in epidemiology - A proposal for reporting

TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.
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Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.

TL;DR: A WHO Consultation has taken place in parallel with a report by an American Diabetes Association Expert Committee to re‐examine diagnostic criteria and classification of diabetes mellitus and is hoped that the new classification will allow better classification of individuals and lead to fewer therapeutic misjudgements.
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