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      Body Mass Index and Mortality in Chronic Obstructive Pulmonary Disease: A Meta-Analysis

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          Abstract

          Background

          The association between body mass index (BMI) and mortality in patients suffering from chronic obstructive pulmonary disease (COPD) has been a subject of interest for decades. However, the evidence is inadequate to draw robust conclusions because some studies were generally small or with a short follow-up.

          Methods

          We carried out a search in MEDLINE, Cochrane Central Register of Controlled Trials, and EMBASE database for relevant studies. Relative risks (RRs) with 95% confidence interval (CI) were calculated to assess the association between BMI and mortality in patients with COPD. In addition, a baseline risk-adjusted analysis was performed to investigate the strength of this association.

          Results

          22 studies comprising 21,150 participants were included in this analysis. Compared with patients having a normal BMI, underweight individuals were associated with higher mortality (RR  = 1.34, 95% CI  = 1.01–1.78), whereas overweight (RR  = 0.47, 95% CI  = 0.33–0.68) and obese (RR  = 0.59, 95% CI  = 0.38–0.91) patients were associated with lower mortality. We further performed a baseline risk-adjusted analysis and obtained statistically similar results.

          Conclusion

          Our study showed that for patients with COPD being overweight or obese had a protective effect against mortality. However, the relationship between BMI and mortality in different classes of obesity needed further clarification in well-designed clinical studies.

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          Most cited references41

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          • Article: not found

          Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints.

          Meta-analyses aim to provide a full and comprehensive summary of related studies which have addressed a similar question. When the studies involve time to event (survival-type) data the most appropriate statistics to use are the log hazard ratio and its variance. However, these are not always explicitly presented for each study. In this paper a number of methods of extracting estimates of these statistics in a variety of situations are presented. Use of these methods should improve the efficiency and reliability of meta-analyses of the published literature with survival-type endpoints.
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            • Record: found
            • Abstract: not found
            • Article: not found

            Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper.

            W MacNee, , B Celli (2004)
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              Epidemiology of COPD.

              Chronic obstructive pulmonary disease (COPD) is responsible for early mortality, high death rates and significant cost to health systems. The projection for 2020 indicates that COPD will be the third leading cause of death worldwide (from sixth in 1990) and fifth leading cause of years lost through early mortality or handicap (disability-adjusted life years) (12th in 1990). Active smoking remains the main risk factor, but other factors are becoming better known, such as occupational factors, infections and the role of air pollution. Prevalence of COPD varies according to country, age and sex. This disease is also associated with significant comorbidities. COPD is a disorder that includes various phenotypes, the continuum of which remains under debate. The major challenge in the coming years will be to prevent onset of smoking along with early detection of the disease in the general population.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                24 August 2012
                : 7
                : 8
                : e43892
                Affiliations
                [1 ]Department of Respiratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
                [2 ]Department of Respiratory Medicine, Affiliated Hospital, Medical College, Ningbo University, Ningbo, China
                The University of Edinburgh, United Kingdom
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CC XW. Performed the experiments: CC RW JW HB YX WX. Analyzed the data: CC RW WX. Contributed reagents/materials/analysis tools: CC RW JW HB YX WX. Wrote the paper: CC HB WX. Study supervision: YX WX.

                Article
                PONE-D-11-23655
                10.1371/journal.pone.0043892
                3427325
                22937118
                c262cd99-8a9b-4db4-9872-b517403bf868
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 November 2011
                : 26 July 2012
                Page count
                Pages: 8
                Funding
                This work is supported by research grants from Clinical academic key funds of the Chinese Ministry of Health (2007353) and special funds for scientific research on public causes of the Chinese Ministry of Health (201002008). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Population Biology
                Epidemiology
                Medicine
                Clinical Research Design
                Epidemiology
                Meta-Analyses
                Epidemiology
                Clinical Epidemiology
                Nutrition
                Malnutrition
                Obesity
                Pulmonology
                Chronic Obstructive Pulmonary Diseases

                Uncategorized
                Uncategorized

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