Relationship between blood glucose and carotid intima media thickness: A meta-analysis
| Autor: | Thomas R. Einarson, Michiel E. H. Hemels, Jonathan Hunchuck |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Tunica media
Blood Glucose Carotid Artery Diseases lcsh:Diseases of the circulatory (Cardiovascular) system medicine.medical_specialty Endocrinology Diabetes and Metabolism Review Internal medicine Diabetes mellitus medicine Humans Ultrasonography Models Statistical business.industry Publication bias medicine.disease Random effects model Tunica intima medicine.anatomical_structure Postprandial Intima-media thickness lcsh:RC666-701 Meta-analysis Hyperglycemia Cardiology and Cardiovascular Medicine business Tunica Intima Tunica Media |
| Zdroj: | Cardiovascular Diabetology Cardiovascular Diabetology, Vol 9, Iss 1, p 37 (2010) |
| ISSN: | 1475-2840 |
| Popis: | Background Increased coronary intima media thickness (CIMT) has been associated with adverse cardiovascular outcomes, as have increased glucose levels. The link has not been established between glucose and CIMT; therefore, we sought to assess the relationship between glucose and CIMT. Methods Medline, EMBASE, Scopus, and Cochrane databases were searched from inception through 2009 for original research reporting both postprandial glucose levels and CIMT measurements. Glucose was classified as normal, impaired, or diabetic. Outputs included inverse variance weighted effect size and also average correlation (using the Wang and Bushman approach). Data were combined using a random effects meta-analytic model. Heterogeneity as assessed using χ2 and I2; bias was examined using Egger plots and Begg-Mazumdar tau. Polynomial functions (i.e., linear, quadratic, cubic, quartic) were fit to the data and the Akaike Information Criteria were used to select the optimal model. Results We identified 172 papers; 161 were rejected (19 inappropriate design, 8 had selected patients, 101 inappropriate outcomes) leaving 11 accepted. We used data from 15,592 patients (8250 normals, 3013 impaired glucose, 4329 diabetics). There was no evidence of heterogeneity or publication bias. The overall correlation was 0.082 (CI95%:0.066-0.098); the overall effect size was 0.294 (0.245-0.343) between diabetics and normals and 0.137 (0.072-0.202) between normals and those with impaired glucose. The equation of best fit was linear (CIMT = 0.828 + 0.009*glucose). Conclusions There is a small but significant relationship between postprandial glucose levels and CIMT, which have both been associated with adverse cardiovascular outcomes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|