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      Alemtuzumab versus antithymocyte globulin induction therapies in kidney transplantation patients : A systematic review and meta-analysis of randomized controlled trials

      review-article
      , MD , , MS
      Medicine
      Wolters Kluwer Health
      alemtuzumab, antithymocyte globulin, kidney transplantation

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          Abstract

          Alemtuzumab (ALEM) is widely used as an induction therapy for organ transplantation, and numerous randomized controlled trials (RCTs) have been published to evaluate its efficacy and safety in kidney transplantation as compared with antithymocyte globulin (ATG). The purpose of this study was to compare the benefits and safety of ALEM with those of ATG for induction therapy.

          A systematic literature search in three electronic databases, including PubMed, EmBase, and Cochrane Library, since inception through October 2016, was conducted to identify potential RCTs for inclusion. Trials that investigated the risk of biopsy-proven acute rejection (BPAR), mortality, graft failure, delayed graft function (DGF), chronic allograft nephropathy (CAN), infections, cytomegalovirus (CMV) infections, new-onset diabetes mellitus after transplant (NODAT), and granulocyte colony stimulation factor (GCSF) use in kidney transplant recipients who received ALEM or ATG as an induction therapy were included. Relative risk (RR) and 95% confidence intervals (CIs) were calculated using a random-effects model.

          Six RCTs involving 446 kidney transplantation patients were included in this meta-analysis. The effects of ALEM therapy were not significantly different from those of ATG therapy, including the incidence of BPAR (RR: 0.77; 95% CI: 0.51–1.18; P = .229), mortality (RR: 0.64; 95% CI: 0.30–1.39; P = .263), graft failure (RR: 0.81; 95% CI: 0.49–1.33; P = .411), DGF (RR: 1.00; 95% CI: 0.60–1.67; P = .999), CAN (RR: 1.42; 95% CI: 0.44–4.57; P = .556), infections (RR: 1.00; 95% CI: 0.74–1.35; P = .989), CMV infections (RR: 0.70; 95% CI: 0.38–1.30; P = .263), NODAT (RR: 0.50; 95% CI: 0.18–1.36; P = .174), and GCSF use (RR: 1.16; 95% CI: 0.81–1.66; P = .413). Sensitivity analyses were consistent with the overall analysis for all effects except CAN, suggesting that the risk of CAN might be higher with ALEM therapy than ATG therapy (RR: 2.45; 95% CI: 1.02–5.94; P = .046).

          The findings of this study suggest that the beneficial effects of ALEM therapy are greater than those of ATG therapy in kidney transplantation patients; however, the effects were not statistically significant because of the limited number of trials. Further large-scale RCTs are needed to verify the treatment effects of ALEM.

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          Most cited references20

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          A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis

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            The interpretation of random-effects meta-analysis in decision models.

            This article shows that the interpretation of the random-effects models used in meta-analysis to summarize heterogeneous treatment effects can have a marked effect on the results from decision models. Sources of variation in meta-analysis include the following: random variation in outcome definition (amounting to a form of measurement error), variation between the patient groups in different trials, variation between protocols, and variation in the way a given protocol is implemented. Each of these alternatives leads to a different model for how the heterogeneity in the effect sizes previously observed might relate to the effect size(s) in a future implementation. Furthermore, these alternative models require different computations and, when the net benefits are nonlinear in the efficacy parameters, result in different expected net benefits. The authors' analysis suggests that the mean treatment effect from a random-effects meta-analysis will only seldom be an appropriate representation of the efficacy expected in a future implementation. Instead, modelers should consider either the predictive distribution of a future treatment effect, or they should assume that the future implementation will result in a distribution of treatment effects. A worked example, in a probabilistic, Bayesian posterior framework, is used to illustrate the alternative computations and to show how parameter uncertainty can be combined with variation between individuals and heterogeneity in meta-analysis.
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              A study of the quality of life and cost-utility of renal transplantation.

              The objective of this study was to assess the cost-utility of renal transplantation compared with dialysis. To accomplish this, a prospective cohort of pre-transplant patients were followed for up to two years after renal transplantation at three University-based Canadian hospitals. A total of 168 patients were followed for an average of 19.5 months after transplantation. Health-related quality of life was assessed using a hemodialysis questionnaire, a transplant questionnaire, the Sickness Impact Profile, and the Time Trade-Off Technique. Fully allocated costs were determined by prospectively recording resource use in all patients. A societal perspective was taken. By six months after transplantation, the mean health-related quality of life scores of almost all measures had improved compared to pre-transplantation, and they stayed improved throughout the two years of follow up. The mean time trade-off score was 0.57 pre-transplant and 0.70 two years after transplantation. The proportion of individuals employed increased from 30% before transplantation to 45% two years after transplantation. Employment prior to transplantation [relative risk (RR) = 23], graft function (RR 10) and age (RR 1.6 for every decrease in age by one decade), independently predicted employment status after transplantation. The cost of pre-transplant care ($66,782 Can 1994) and the cost of the first year after transplantation ($66,290) were similar. Transplantation was considerably less expensive during the second year after transplantation ($27,875). Over the two years, transplantation was both more effective and less costly than dialysis. This was true for all subgroups of patients examined, including patients older than 60 and diabetics. We conclude that renal transplantation was more effective and less costly than dialysis in all subgroups of patients examined.
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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Wolters Kluwer Health
                0025-7974
                1536-5964
                July 2017
                14 July 2017
                : 96
                : 28
                : e7151
                Affiliations
                Department of Transplant Surgeons, Tianjin First Center Hospital, Tianjin, China.
                Author notes
                []Correspondence: Jianming Zheng, Department of Transplant Surgeons, Tianjin First Center Hospital, Tianjin 300192, China (e-mail: zhengjianming76317@ 123456aliyun.com ).
                Article
                MD-D-17-00275 07151
                10.1097/MD.0000000000007151
                5515737
                28700465
                b644b9ab-e7b4-44f8-95f3-f18ae1aacf27
                Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

                History
                : 13 January 2017
                : 18 May 2017
                : 19 May 2017
                Categories
                7100
                Research Article
                Systematic Review and Meta-Analysis
                Custom metadata
                TRUE

                alemtuzumab,antithymocyte globulin,kidney transplantation

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