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Aims/hypothesis A previous pooled analysis suggested that women with diabetes are at substantially increased risk of fatal CHD compared with affected men. Additional findings from several larger and more contemporary studies have since been published on the sex-specific associations between diabetes and incident CHD. We performed an updated systematic review with meta-analysis to provide the most reliable evidence of any sex difference in the effect of diabetes on subsequent risk of CHD. Methods PubMed MEDLINE was systematically searched for prospective population-based cohort studies published between 1 January 1966 and 13 February 2013. Eligible studies had to have reported sex-specific RR estimates for incident CHD associated with diabetes and its associated variability that had been adjusted at least for age. Randomeffects meta-analyses with inverse variance weighting were used to obtain sex-specific RRs and the RR ratio (RRR) (women:men) for incident CHD associated with diabetes. Results Data from 64 cohorts, including 858,507 individuals and 28,203 incident CHD events, were included. The RR for incident CHD associated with diabetes compared with no diabetes was 2.82 (95% CI 2.35, 3.38) in women and 2.16 (95% CI 1.82, 2.56) in men. The multiple-adjusted RRR for incident CHD was 44% greater in women with diabetes than in men with diabetes (RRR 1.44 [95% CI 1.27, 1.63]) with no significant heterogeneity between studies (I 2 =20%). Conclusions/interpretation Women with diabetes have more than a 40% greater risk of incident CHD compared with men with diabetes. Sex disparities in pharmacotherapy are unlikely to explain much of the excess risk in women, but future studies are warranted to more clearly elucidate the mechanisms responsible for the substantial sex difference in diabetes-related risk of CHD.

Context Imaging for subclinical atherosclerosis on top of conventional risk factor assessment may improve risk prediction for the occurrence of cardiovascular disease events in asymptomatic individuals. Objective To systematically review the available evidence on this issue. Data Sources PubMed MEDLINE was systematically searched on 7 September 2011. Study selection Studies were included that evaluated the added value of flow mediated dilation (FMD), carotid intima-media thickness (CIMT), carotid plaques and/or coronary artery calcification (CAC) scoring in the prediction of risk for developing fatal or non-fatal cardiovascular events. Data extraction Data on general study characteristics and the added predictive performance of imaging markers in terms of discrimination, calibration and (re)classification were extracted. Results 25 studies were selected that provided information on added predictive value of FMD (n¼2), CIMT (n¼12), carotid plaques (n¼6) and/or CAC (n¼9). Heterogeneity existed across studies in the conventional risk models that were used and in the measurements of the imaging marker. The added predictive value, quantified by the difference in c-index, of FMD, CIMT, carotid plaques or CAC ranged from 0.00 to 0.01 for FMD, from 0.00 to 0.03 for CIMT, from 0.01 to 0.05 for carotid plaque and from 0.05 to 0.13 for CAC. The reported net reclassification improvement (NRI) by the imaging markers ranged from À1.4% to 12% for CIMT, 8% to 11% for carotid plaques, 14% to 25% for CAC and 29% for FMD). Although the definition of intermediate cardiovascular risk varied across studies, the NRI was the highest in those at intermediate cardiovascular risk. Conclusions Published evidence on the added value of atherosclerosis imaging varies across the different markers, with limited evidence for FMD and considerable evidence for CIMT, carotid plaque and CAC. The added predictive value of additional screening may be primarily found in asymptomatic individuals at intermediate cardiovascular risk. Additional research in asymptomatic individuals is needed to quantify the cost effectiveness and impact of imaging for subclinical atherosclerosis on cardiovascular risk factor management and patient outcomes. INTRODUCTIONAtherosclerosis is the underlying cause of the majority of cardiovascular disease (CVD) events. CVD is the leading cause of morbidity and mortality in the western world.1 Risk factors for atherosclerosis and CVD, including age, sex, lipid levels, smoking and blood pressure, are incorporated in risk algorithms that are used to predict an individual's absolute risk for CVD in the general population.2 Although these risk factors are useful to predict risk in populations, their accuracy in predicting cardiovascular risk in individuals varies considerably across populations.3 As atherosclerosis may be considered as the sum of the effects of exposure to known and unknown risk factors within an individual, its measurement may be sensible to improve the identification of individuals at high risk for CVD lead...

This pooled individual participant analysis on the effects of online HDF compared with conventional HD indicates that online HDF reduces the risk of mortality in ESKD patients. This effect holds across a variety of important clinical subgroups of patients and is most pronounced for those receiving a higher convection volume normalized to BSA.