1,721,135 research outputs found
Prevention of type 2 diabetes by dietary patterns: a systematic review of prospective studies and meta-analysis
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Colorectal cancer association with metabolic syndrome and its components: a systematic review with meta-analysis
No full textWe performed a systematic review and meta-analysis of the empirical evidence on the association of metabolic syndrome and its components with colorectal cancer incidence and mortality. A systematic literature search of multiple electronic databases was conducted and complemented by cross-referencing to identify studies published before 31 October 2012. Every included study was to report risk estimates with 95 % confidence intervals for the association between metabolic syndrome and colorectal cancer (incidence or mortality). Core items of identified studies were independently extracted by two reviewers, and results were summarized by standard methods of meta-analysis. We identified 17 studies, which reported on 49 data sets with 11,462 cancer cases. Metabolic syndrome was associated with an increased risk of colorectal cancer incidence and mortality in both men (RR: 1.33, 95 % CI 1.18-1.50, and 1.36, 1.25-1.48, respectively) and women (RR: 1.41, 1.18-1.70, and 1.16, 1.03-1.30, respectively). The risk estimates changed little depending on type of study (cohort vs non cohort), populations (US, Europe, Asia), cancer site (colon and rectum), or definition of the syndrome. The risk estimates for any single factor of the syndrome were significant for higher values of BMI/waist (RR: 1.19, 95 % CI 1.10-1.28), dysglycemia (RR: 1.29, 1.11-1.49), and higher blood pressure (RR: 1.09, 1.01-1.18). Dysglycemia and/or higher BMI/waist explained most of the risk associated with metabolic syndrome. Metabolic syndrome is associated with an increased risk of colorectal cancer incidence and mortality in both sexes. The risk conveyed by the full syndrome is not superior to the sum of its parts
The effect of Mediterranean diet on metabolic syndrome and its components: a meta-analysis of 50 studies and 534,906 individuals
No full textThe association between serum uric acid levels and 10-year cardiovascular disease incidence: results from the ATTICA prospective study.
Full text linkLimited data suggests possible gender-specific association between serum uric acid (SUA) and cardiovascular disease (CVD) incidence. The aim of the present analysis was to evaluate the association between SUA levels and 10-year CVD incidence (2002-2012) in the ATTICA study participants. Overall, 1687 apparently healthy volunteers, with SUA measurements, residing in the greater metropolitan Athens area (Greece), were included. Multivariable Cox-regression models were used to estimate the hazard ratios for SUA in relation to 10-year CVD incidence. Receiver operating curve analysis was conducted to detect optimal SUA cut-off values. Participants in the 2nd and 3rd SUA tertile had 29 and 73% higher 10-year CVD incidence compared with those in the 1st tertile (p < 0.001). In gender-specific analysis, only in women SUA was independently associated with CVD incidence; women in the 3rd SUA tertile had 79% greater 10-year CVD event risk compared to their 1st tertile counterparts. Obese in the 3rd SUA tertile had 2-times higher CVD incidence compared to those in the 1st tertile. Similar findings were observed in metabolically healthy (vs. unhealthy) and metabolically healthy obese. SUA thresholds best predicting 10-year CVD incidence was 5.05 and 4.15 mg/dL (0.30 and 0.25 mmol/L) in men and women, respectively. In conclusion, increased SUA levels were independently related to 10-year CVD event rate in women, obese and metabolically healthy individuals. SUA could predict 10-year CVD incidence even at low levels. Further studies are warranted to identify SUA cut-off values that may improve the detection of individuals at higher CVD risk in clinical practice
Metabolic syndrome and 10-year cardiovascular disease incidence. the ATTICA study
No full textAims: To evaluate the influence of metabolic syndrome (MetS) as well as inflammatory and renal markers on cardiovascular disease (CVD) incidence.
Methods and results: During 2001-2002, 1514 men and 1528 women (>18 y) without any clinical evidence of CVD or any other chronic disease, at baseline, living in greater Athens area, Greece, were enrolled. In 2011-2012, the 10-year follow-up was performed in 2583 participants (15% of the participants were lost to follow-up). Incidence of fatal or non-fatal CVD was defined according to WHO-ICD-10 criteria. MetS was defined using three definitions, provided by the National Cholesterol Education Program Adult Treatment panel III (revised NCEP ATP III), the International Diabetes Federation (IDF) or the Harmonized definition. Furthermore, the contributory predictive role of C-reactive protein (CRP), inteleukin-6, uric acid and estimated glomerular filtration rate in the aforementioned models was evaluated. History of MetS-NCEP was positively associated with CVD, adjusting for potential confounding factors (OR:1.83, 95%CI:1.24-2.72). Not statistically significant associations with CVD incidence were observed when using the IDF or the Harmonized definition. Additionally, none of the added inflammatory and renal function markers mediated the influence of MetS on CVD incidence (all p's from Sobel test >0.40). C-statistic values for the MetS definitions used exceeded 0.789 (CI:0.751-0.827), indicating fair-to-good predictive probability of the models.
Conclusion: Results of the present work revealed the negative impact of MetS-NCEP, but not of the other MetS definitions, on CVD incidence, a key-point that may help in better understanding the role of IDF and Harmonized MetS definitions on CVD
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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