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      The positive efficacy of dexmedetomidine on the clinical outcomes of patients undergoing renal transplantation: evidence from meta-analysis

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          Abstract

          Introduction: Whether dexmedetomidine (DEX), an anesthetic adjuvant, can improve renal transplant outcomes is not clear.

          Methods: We systematically identified clinical trials in which DEX was administered in renal transplantation (RT). On November 1, 2022, we searched The Cochrane Library, MEDLINE, EMBASE and https://www.clinicaltrials.gov/. The main outcomes were delayed graft function and acute rejection.

          Results: A total of seven studies were included in the meta-analysis. The results showed that compared with the control, DEX significantly reduced the occurrence of delayed graft function (RR 0.76; 95% CI 0.60–0.98), short-term serum creatinine [postoperative day (POD) 2: (MD −22.82; 95% CI −42.01 – −3.64)] and blood urea nitrogen [POD 2: (MD −2.90; 95% CI −5.10 – −0.70); POD 3: (MD 2.07; 95% CI −4.12 – −0.02)] levels, postoperative morphine consumption (MD −4.27; 95% CI −5.92 – −2.61) and the length of hospital stay (MD −0.85; 95% CI−1.47 – −0.23). However, DEX did not reduce the risk of postoperative acute rejection (RR 0.75; 95% CI 0.45–1.23). The results of the subgroup analysis showed that country type, donor type, and average age had a certain impact on the role of DEX.

          Conclusions: DEX may improve the short-term clinical outcome of RT and shorten the length of hospital stay of patients.

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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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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              Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions

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                Author and article information

                Journal
                Aging (Albany NY)
                Aging
                Aging (Albany NY)
                Impact Journals
                1945-4589
                15 December 2023
                11 December 2023
                : 15
                : 23
                : 14192-14209
                Affiliations
                [1 ]Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, PR China
                [2 ]Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
                [3 ]Center for Scientific Research of Anhui Medical University, Hefei, Anhui 230022, PR China
                Author notes
                [*]

                Equal contribution

                Correspondence to: Yonggui Wu; email: wuyonggui@medmail.com.cn
                Article
                205296 205296
                10.18632/aging.205296
                10756127
                38085644
                9d3f3428-682b-4878-bfd0-7baa7782ba78
                Copyright: © 2023 Guo et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 June 2023
                : 02 November 2023
                Categories
                Research Paper

                Cell biology
                renal transplantation,end-stage renal disease,dexmedetomidine,delayed graft function,meta-analysis

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