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      Left atrium decompression devices across the spectrum of ejection fraction in heart failure: an updated systematic review and meta-regression analysis

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          Abstract

          Background

          In patients affected by heart failure (HF) with reduced ejection fraction (HFrEF), pharmacological treatments have been proven to alleviate symptoms and improve prognosis, while no treatment other than sodium-glucose co-transporter-2 inhibitors have demonstrated significant effects in HF with preserved ejection fraction (HFpEF). Left atrium decompression devices (LADd) have been recently investigated as a new interventional approach in patients with HFpEF.

          Objectives

          To assess the efficacy of LADd on soft endpoints in HF patients across the spectrum of ejection fraction.

          Methods

          PubMed and Web of Science were searched without restrictions from inception to 28 May 2022 to identify valuable articles. The studies that met the inclusion criteria were analyzed. The prespecified main outcomes were the change from baseline in 6-min walking distance (6MWD), NYHA class and health-related quality of life (HRQoL). Secondary outcomes were reduction in HF hospitalizations, echocardiographic, and hemodynamic parameters.

          Results

          Eleven studies, with a total of 547 patients, were included. LADd significantly improved 6MWD by 43.95 m (95% CI 29.64–58.26 m), decreased NYHA class by 0.93 (95% CI 1.20–0.67), and improved HRQoL questionnaire by 20.45 points (95% CI 13.77–27.14) with better results for all outcomes in patients with lower EFs.

          Conclusion

          The present meta-analysis suggests that LADd are favorable in improving 6MWD, NYHA class, and HRQoL in HF across a wide spectrum of ejection fraction, with better outcomes in patients with lower EFs.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10741-023-10317-2.

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          Most cited references25

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          2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

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            Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

            Background In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one may have to estimate the sample mean and standard deviation for such trials. Methods In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al.’s method (BMC Med Res Methodol 5:13, 2005) has some serious limitations and is always less satisfactory in practice. Inspired by this, we propose a new estimation method by incorporating the sample size. Second, we systematically study the sample mean and standard deviation estimation problem under several other interesting settings where the interquartile range is also available for the trials. Results We demonstrate the performance of the proposed methods through simulation studies for the three frequently encountered scenarios, respectively. For the first two scenarios, our method greatly improves existing methods and provides a nearly unbiased estimate of the true sample standard deviation for normal data and a slightly biased estimate for skewed data. For the third scenario, our method still performs very well for both normal data and skewed data. Furthermore, we compare the estimators of the sample mean and standard deviation under all three scenarios and present some suggestions on which scenario is preferred in real-world applications. Conclusions In this paper, we discuss different approximation methods in the estimation of the sample mean and standard deviation and propose some new estimation methods to improve the existing literature. We conclude our work with a summary table (an Excel spread sheet including all formulas) that serves as a comprehensive guidance for performing meta-analysis in different situations. Electronic supplementary material The online version of this article (doi:10.1186/1471-2288-14-135) contains supplementary material, which is available to authorized users.
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              Cardiovascular and Renal Outcomes with Empagliflozin in Heart Failure

              Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce the risk of hospitalization for heart failure in patients regardless of the presence or absence of diabetes. More evidence is needed regarding the effects of these drugs in patients across the broad spectrum of heart failure, including those with a markedly reduced ejection fraction.
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                Author and article information

                Contributors
                stefania.paolillo@unina.it , paolilloste@gmail.com
                Journal
                Heart Fail Rev
                Heart Fail Rev
                Heart Failure Reviews
                Springer US (New York )
                1382-4147
                1573-7322
                10 May 2023
                10 May 2023
                2023
                : 28
                : 5
                : 1151-1161
                Affiliations
                [1 ]GRID grid.4691.a, ISNI 0000 0001 0790 385X, Department of Advanced Biomedical Sciences, , Federico II University of Naples, ; Naples, Italy
                [2 ]Villa dei Fiori Clinic, Corso Italia, 80011 Acerra, Naples, Italy
                Author information
                http://orcid.org/0000-0003-4683-0993
                Article
                10317
                10.1007/s10741-023-10317-2
                10403397
                37162633
                3ee8ded0-a8f7-43af-aa95-6f8b69c85745
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 April 2023
                Funding
                Funded by: Università degli Studi di Napoli Federico II
                Categories
                Article
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2023

                Cardiovascular Medicine
                heart failure,interatrial shunting,meta-analysis,interventional heart failure treatment,health-related quality of life outcomes

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