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      Comparative Efficacy of Guanfacine Extended Release Versus Atomoxetine for the Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents: Applying Matching-Adjusted Indirect Comparison Methodology

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          Abstract

          Background

          No head-to-head clinical trials have been published comparing guanfacine extended release (GXR) and atomoxetine (ATX): two nonstimulants approved for the treatment of attention-deficit/hyperactivity disorder (ADHD). However, other study designs or methods could be used to indirectly compare these two medications. Matching-adjusted indirect comparison (MAIC) is a recent methodology that utilizes individual patient data (IPD) from clinical trials for one treatment and published aggregate data from another treatment to estimate the relative efficacy of both, providing rapid, reliable comparative efficacy results.

          Objective

          The aim of this study was to compare the efficacy of GXR and ATX for the treatment of ADHD using MAIC.

          Study Design

          A systematic literature search was conducted to identify ATX and GXR trials published through December 2012. Studies were selected for MAIC analyses on the basis of having comparable trial characteristics and study designs. Summary data from selected ATX trials and IPD from selected GXR trials were used. MAIC methodology ensured comparable populations: target doses for the ‘base case’ comparison were selected on the basis of maximum effective dosage ranges from the US FDA-approved product labels (GXR 0.09–0.12 mg/kg/day, ATX 1.2 mg/kg/day for children and adolescents weighing ≤70 kg). Individuals from GXR trials were selected if they matched inclusion/exclusion criteria from selected ATX trials; selected GXR IPD were then re-weighted to match the published ATX trial mean baseline characteristics and placebo outcomes. Sensitivity analyses were conducted, examining different dosage ranges and repeating the analysis in a larger number of trials, allowing for larger and more heterogeneous trial populations.

          Main Outcome Measure

          The primary outcome measure was change in ADHD Rating Scale IV (ADHD-RS-IV) total score.

          Results

          Using MAIC in the base case comparison, significantly greater reductions in mean (standard error; SE) ADHD-RS-IV total scores from baseline to end of study were observed in patients treated with GXR relative to ATX [−7.0 (2.2); p < 0.01]. Significantly greater reductions for GXR over ATX were also demonstrated for hyperactivity/impulsivity [−3.8 (1.2); p < 0.01] and inattention [−3.2 (1.3); p < 0.05] subscales of the ADHD-RS-IV. Similar results were observed in MAIC sensitivity analyses evaluating other dosage ranges and using more heterogeneous trial populations (e.g., larger randomized sample, broader subject weight range, additional trials). Mean (SE) decreases in ADHD-RS-IV total scores were greater for GXR relative to ATX when including IPD for those administered GXR at lower than target dosage (0.075–0.090 mg/kg/day) compared with ATX at target dosage (1.2 mg/kg/day), with a relative improvement of −6.0 (2.7) ( p < 0.05). Reductions in ADHD-RS-IV total scores were also greater for GXR in another MAIC examining GXR at target dosage (0.09–0.12 mg/kg/day) and a broader range of ATX dosages (including three additional trials evaluating ATX ≥1.2 mg/kg/day); relative improvement for GXR versus ATX administered at target dosage or higher was −7.6 (1.4) ( p < 0.01).

          Conclusion

          After adjusting for difference in baseline trial characteristics using MAIC, GXR appears to be more efficacious than ATX for the treatment of ADHD. Results were consistent in a variety of dosage range comparisons and within increasingly heterogeneous trial populations.

          Electronic supplementary material

          The online version of this article (doi:10.1007/s40263-013-0102-x) contains supplementary material, which is available to authorized users.

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          Most cited references14

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            The ecological fallacy.

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              Comparative effectiveness without head-to-head trials: a method for matching-adjusted indirect comparisons applied to psoriasis treatment with adalimumab or etanercept.

              The absence of head-to-head trials is a common challenge in comparative effectiveness research and health technology assessment. Indirect cross-trial treatment comparisons are possible, but can be biased by cross-trial differences in patient characteristics. Using only published aggregate data, adjustment for such biases may be impossible. Although individual patient data (IPD) would permit adjustment, they are rarely available for all trials. However, many researchers have the opportunity to access IPD for trials of one treatment, a new drug for example, but only aggregate data for trials of comparator treatments. We propose a method that leverages all available data in this setting by adjusting average patient characteristics in trials with IPD to match those reported for trials without IPD. Treatment outcomes, including continuous, categorical and censored time-to-event outcomes, can then be compared across balanced trial populations. The proposed method is illustrated by a comparison of adalimumab and etanercept for the treatment of psoriasis. IPD from trials of adalimumab versus placebo (n = 1025) were re-weighted to match the average baseline characteristics reported for a trial of etanercept versus placebo (n = 330). Re-weighting was based on the estimated propensity of enrolment in the adalimumab versus etanercept trials. Before matching, patients in the adalimumab trials had lower mean age, greater prevalence of psoriatic arthritis, less prior use of systemic treatment or phototherapy, and a smaller mean percentage of body surface area affected than patients in the etanercept trial. After matching, these and all other available baseline characteristics were well balanced across trials. Symptom improvements of ≥75% and ≥90% (as measured by the Psoriasis Area and Severity Index [PASI] score at week 12) were experienced by an additional 17.2% and 14.8% of adalimumab-treated patients compared with the matched etanercept-treated patients (respectively, both p < 0.001). Mean percentage PASI score improvements from baseline were also greater for adalimumab than for etanercept at weeks 4, 8 and 12 (all p < 0.05). Matching adjustment ensured that this indirect comparison was not biased by differences in mean baseline characteristics across trials, supporting the conclusion that adalimumab was associated with significantly greater symptom reduction than etanercept for the treatment of moderate to severe psoriasis.
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                Author and article information

                Contributors
                +1-484-5958579 , +1-484-5958178 , vsikirica@shire.com
                Journal
                CNS Drugs
                CNS Drugs
                CNS Drugs
                Springer International Publishing (Cham )
                1172-7047
                1179-1934
                23 August 2013
                23 August 2013
                2013
                : 27
                : 943-953
                Affiliations
                [ ]Global Health Economics and Outcomes Research, Shire Development LLC, 725 Chesterbrook Boulevard, Wayne, PA 19087 USA
                [ ]The Johns Hopkins University and the Kennedy Krieger Institute, Baltimore, MD USA
                [ ]Analysis Group, Inc., Boston, MA USA
                Article
                102
                10.1007/s40263-013-0102-x
                3824845
                23975660
                af347de6-3004-4dfd-b4ed-176061f8fe69
                © The Author(s) 2013

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

                History
                Categories
                Original Research Article
                Custom metadata
                © Springer International Publishing Switzerland 2013

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