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      Comparative efficacy of ravulizumab and eculizumab in the treatment of atypical hemolytic uremic syndrome: An indirect comparison using clinical trial data

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          Abstract

          Ravulizumab and eculizumab are approved terminal complement inhibitor treatments for atypical hemolytic uremic syndrome (aHUS). Ravulizumab was engineered from eculizumab to have an increased half-life allowing for reduced dosing frequency (8-weekly vs. 2-weekly). To account for differences in respective clinical trials, a validated balancing technique was used to enable an indirect comparison of ravulizumab and eculizumab treatment efficacy in aHUS. Patient-level data from four eculizumab clinical trials were available for pooling and comparison with data from two ravulizumab trials. In the primary analysis, adult native kidney data were compared. Propensity scores were calculated from baseline characteristics (dialysis status, estimated glomerular filtration rate, platelet count, serum lactate dehydrogenase). Stabilized inverse probability weighting was used to balance groups. Changes in outcomes from baseline to 26 weeks were compared between treatment groups. Sensitivity and subgroup analyses were conducted to assess the robustness of findings. Overall, 85 patients (46 ravulizumab, 39 eculizumab) were included in the primary analysis. Demographic and clinical characteristics were well balanced after weighting at baseline. At 26 weeks, clinical outcomes (including renal function, hematological markers, and dialysis prevalence), and fatigue and quality of life measures were improved with eculizumab and ravulizumab treatment. No differences between treatment groups reached statistical significance, although confidence intervals were wide. Sensitivity and subgroup analysis results were consistent with those of the primary analysis. Using appropriate methodology for indirect comparison of studies, no differences in outcomes were seen between ravulizumab and eculizumab, although, owing to small sample sizes, confidence intervals were wide.

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          MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

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            Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies

            In a study comparing the effects of two treatments, the propensity score is the probability of assignment to one treatment conditional on a subject's measured baseline covariates. Propensity-score matching is increasingly being used to estimate the effects of exposures using observational data. In the most common implementation of propensity-score matching, pairs of treated and untreated subjects are formed whose propensity scores differ by at most a pre-specified amount (the caliper width). There has been a little research into the optimal caliper width. We conducted an extensive series of Monte Carlo simulations to determine the optimal caliper width for estimating differences in means (for continuous outcomes) and risk differences (for binary outcomes). When estimating differences in means or risk differences, we recommend that researchers match on the logit of the propensity score using calipers of width equal to 0.2 of the standard deviation of the logit of the propensity score. When at least some of the covariates were continuous, then either this value, or one close to it, minimized the mean square error of the resultant estimated treatment effect. It also eliminated at least 98% of the bias in the crude estimator, and it resulted in confidence intervals with approximately the correct coverage rates. Furthermore, the empirical type I error rate was approximately correct. When all of the covariates were binary, then the choice of caliper width had a much smaller impact on the performance of estimation of risk differences and differences in means. Copyright © 2010 John Wiley & Sons, Ltd.
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              The Central Role of the Propensity Score in Observational Studies for Causal Effects

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                Author and article information

                Journal
                Clin Nephrol
                Clin Nephrol
                Dustri
                Clinical Nephrology
                Dustri-Verlag Dr. Karl Feistle
                0301-0430
                May 2022
                21 December 2021
                : 97
                : 5
                : 261-272
                Affiliations
                [1 ]Alexion, AstraZeneca Rare Disease, Boston, MA,
                [2 ]Delta Hat Limited, Nottingham, UK,
                [3 ]Ohio State University, Columbus, OH, USA,
                [4 ]University College London, London,
                [5 ]Newcastle University, Newcastle, UK,
                [6 ]Hôpital Tenon, APHP and Sorbonne Université, Paris, France
                Author notes
                Correspondence to: Ioannis Tomazos, PhD, MBA, Alexion, AstraZeneca Rare Disease, 121 Seaport Boulevard, Boston, MA 02210, USA, Ioannis.Tomazos@ 123456alexion.com
                Article
                10.5414/CN110516
                9040196
                34931610
                cd2474a3-41f1-41ba-9333-6da4493c89c4
                © Dustri-Verlag Dr. K. Feistle

                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 work is properly cited.

                History
                : 28 January 2021
                : 24 September 2021
                Categories
                Research Article
                Nephrology

                acute kidney injury,chronic kidney disease,propensity scoring,stabilized weights,terminal complement inhibition

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