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      HDL-C is associated with mortality from all causes, cardiovascular disease and cancer in a J-shaped dose-response fashion: a pooled analysis of 37 prospective cohort studies

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          Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category.

          Epidemiological studies relating a particular exposure to a specified disease may present their results in a variety of ways. Often, results are presented as estimated odds ratios (or relative risks) and confidence intervals (CIs) for a number of categories of exposure, for example, by duration or level of exposure, compared with a single reference category, often the unexposed. For systematic literature review, and particularly meta-analysis, estimates for an alternative comparison of the categories, such as any exposure versus none, may be required. Obtaining these alternative comparisons is not straightforward, as the initial set of estimates is correlated. This paper describes a method for estimating these alternative comparisons based on the ideas originally put forward by Greenland and Longnecker, and provides implementations of the method, developed using Microsoft Excel and SAS. Examples of the method based on studies of smoking and cancer are given. The method also deals with results given by categories of disease (such as histological types of a cancer). The method allows the use of a more consistent comparison when summarizing published evidence, thus potentially improving the reliability of a meta-analysis. Copyright (c) 2007 John Wiley & Sons, Ltd.
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            Ten-year mortality from cardiovascular disease in relation to cholesterol level among men with and without preexisting cardiovascular disease.

            To determine the associations of total, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) cholesterol with mortality from coronary heart disease and cardiovascular disease, we studied 2541 white men who were 40 to 69 years old at base line and followed them for an average of 10.1 years. Seventeen percent had some manifestation of cardiovascular disease at base line, whereas the others did not. Among the men who had cardiovascular disease at base line, we found, after multivariate adjustment, that those with "high" blood cholesterol levels (above 6.19 mmol per liter) had a risk of death from cardiovascular disease, including coronary heart disease, that was 3.45 times higher (95 percent confidence interval, 1.63 to 7.33) than that for men with "desirable" blood cholesterol levels (below 5.16 mmol per liter). The corresponding hazard ratios were 5.92 (95 percent confidence interval, 2.59 to 13.51) for LDL cholesterol levels above 4.13 mmol per liter as compared with those below 3.35 mmol per liter, and 6.02 (95 percent confidence interval, 2.73 to 13.28) for HDL cholesterol levels below 0.90 mmol per liter as compared with those above 1.16 mmol per liter. All three lipid levels were also significant predictors of death from coronary heart disease alone (P less than 0.005). Total cholesterol and LDL cholesterol levels were also significant predictors of death from cardiovascular and coronary heart disease in men without preexisting cardiovascular disease, although at a lower level of absolute risk of death. Thus, the 10-year risk of death from cardiovascular disease for a man with preexisting cardiovascular disease increased from 3.8 percent to almost 19.6 percent with increasing levels of total cholesterol from "desirable" to "high," whereas the corresponding risk for a man who was free of cardiovascular disease at base line increased from 1.7 percent to 4.9 percent. Our findings suggest that total, LDL, and HDL cholesterol levels predict subsequent mortality in men 40 to 69 years of age, especially those with preexisting cardiovascular disease.
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              Incidence of Coronary Heart Disease and Lipoprotein Cholesterol Levels

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                Author and article information

                Journal
                European Journal of Preventive Cardiology
                Eur J Prev Cardiolog
                SAGE Publications
                2047-4873
                2047-4881
                April 14 2020
                : 204748732091475
                Affiliations
                [1 ]Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, China
                [2 ]Emergency Department, The Second Affiliated Hospital of Chongqing Medical University, China
                [3 ]Department of Geriatrics, The Fifth People’s Hospital of Chengdu, China
                [4 ]Department of Hepatobiliary Surgery, The People’s Hospital of Dazu District, China
                [5 ]School of Public Health and Management, Research Centre for Medicine and Social Development, Innovation Centre for Social Risk Governance in Health, Chongqing Medical University, China
                [6 ]Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, China
                [7 ]Paediatric Surgery Centre, Qingdao Women and Children’s Hospital, Qingdao University, China *These two authors should be considered joint corresponding authors.
                Article
                10.1177/2047487320914756
                32283957
                f2d71bb6-2211-424c-8ef1-3cbd46b8a4b3
                © 2020

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