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Patient characteristics as effect modifiers for psoriasis biologic treatment response: an assessment using network meta-analysis subgroups.

ABSTRACT: BACKGROUND:Network meta-analyses (NMAs) of psoriasis treatments, undertaken as part of the NICE Single Technology Appraisal (STA) process, have included heterogeneous studies. When there is inconsistency or heterogeneity across the different comparisons or trials within the network of studies, the results of the NMA may not be valid. We explored the impact of including studies with heterogeneous patient characteristics on the results of NMAs of psoriasis treatments. METHODS:All NMAs undertaken for psoriasis STAs were identified and the included studies tabulated, including patient characteristics that may influence relative treatment effects. In addition to the original network of all studies using licensed treatment doses, a range of smaller, less heterogeneous networks were mapped: 'no previous biologic use' (

SUBMITTER: Wade R

PROVIDER: S-EPMC7275463 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Patient characteristics as effect modifiers for psoriasis biologic treatment response: an assessment using network meta-analysis subgroups.

Wade Ros R Sharif-Hurst Sahar S Dias Sofia S

Systematic reviews 20200605 1

<h4>Background</h4>Network meta-analyses (NMAs) of psoriasis treatments, undertaken as part of the NICE Single Technology Appraisal (STA) process, have included heterogeneous studies. When there is inconsistency or heterogeneity across the different comparisons or trials within the network of studies, the results of the NMA may not be valid. We explored the impact of including studies with heterogeneous patient characteristics on the results of NMAs of psoriasis treatments.<h4>Methods</h4>All NM ...[more]

PMID: 32503632

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Project description:BackgroundIn practice, the goal of treatment for patients with psoriasis is to achieve almost clear or clear skin and maintain disease control, regardless of baseline disease severity. However, identifying absolute Psoriasis Area and Severity Index (PASI) values for new treatment goals is challenging, as most clinical trials report relative PASI 50, 75, 90 or 100 improvements but rarely absolute PASI values achieved.ObjectiveOur objective was to illustrate a statistical conversion method that was developed to derive absolute PASI values from available clinical trial data on relative PASI improvements. The results of network meta-analyses (NMAs) based on these derived data were then compared with those of NMAs based on the corresponding relative PASI improvement data for selected biologics for moderate-to-severe psoriasis.MethodsThe PASI statistical conversion method was applied to relative PASI improvement data for 11 biologic treatment regimens and placebo at 12 weeks using data from 50 published studies. The respective proportions of patients reaching absolute PASI values ≤1, 2, 3 or 5 were then calculated. Frequentist NMAs (Rücker method) were subsequently used to compare efficacy results across relative and absolute PASI data.ResultsThe ranking of included treatment regimens for patients achieving absolute PASI 0 to 8 was aligned with results for relative PASI scores (from 100 to 60) at end of induction therapy. Across the range of PASI scores considered, the most effective treatment regimens based on both absolute and relative PASI NMAs were brodalumab 210 mg every 2 weeks and ixekizumab 80 mg every 2 weeks, followed by guselkumab 100 mg every 8 weeks and risankizumab 150 mg every 12 weeks.ConclusionData generated using this mathematical model will be useful to inform ongoing scientific discussions on treatment goals in the absence of primary absolute PASI data for all available treatments for moderate-to-severe plaque psoriasis.

Project description:IntroductionRapid improvement of psoriasis is valued by patients and should be considered to be an important factor in treatment selection. We investigated Psoriasis Area and Severity Index (PASI) and Dermatology Life Quality Index (DLQI) response rates within the first 12 weeks of treatment to compare the rapid response of 11 biologic therapies for moderate-to-severe psoriasis using Bayesian and Frequentist network meta-analyses (NMA).MethodsA systematic literature review was conducted to identify phase 3, double-blind, randomized, controlled trials for adult patients with moderate-to-severe psoriasis treated with interleukin (IL)-17 (brodalumab, ixekizumab, secukinumab), IL-12/-23 (ustekinumab), IL-23 (guselkumab, risankizumab, tildrakizumab), or tumor necrosis factor inhibitors (adalimumab, certolizumab pegol, etanercept, infliximab). Outcome measures extracted from 32 publications were ≥ 75, ≥ 90, or 100% improvement in PASI score (PASI 75, PASI 90, or PASI 100, respectively) at weeks 2, 4, 8, and 12 and DLQI (0,1), where score (0,1) indicates no effect on patient's life, at week 12. Bayesian NMA (BNMA) used fixed-treatment effect and random-baseline effect, normal independent models. Frequentist NMA (fNMA) was conducted as sensitivity analyses to test the robustness of the findings.ResultsBased on BNMA and fNMA, brodalumab and ixekizumab showed the most rapid treatment effects on PASI 75 at weeks 2, 4, and 8 and on PASI 90 and PASI 100 at weeks 2, 4, 8, and 12; ixekizumab overlapped with risankizumab on PASI 75 at week 12. Brodalumab, ixekizumab, and secukinumab yielded higher DLQI (0,1) gains at week 12 compared to all of the other biologics studied. Additional measures of quality of life were not assessed in this report.ConclusionsIxekizumab and brodalumab provide the most rapid response and earliest clinical benefit at week 2 among all of the biologics studied, including other biologic treatments such as secukinumab, ustekinumab, guselkumab, adalimumab, and etanercept. BNMA and fNMA results showed similar relative effect estimates and treatment rankings.FundingEli Lilly and Company.

Project description:BackgroundLittle is known about the treatment outcomes of secukinumab in clinical practice, which differ from those in clinical trials. The effectiveness of biologics may differ in psoriasis patients with previous biologics exposure. The objective of this study was to investigate the real-world effectiveness and safety of secukinumab therapy and analyze subgroups stratified by reimbursement or prior biologic failure.MethodsThis retrospective multicenter study collected data from a cohort of 118 consecutive patients who received secukinumab treatment between December 2015 and March 2018. Effectiveness was evaluated by degree of improvement in the Psoriasis Area and Severity Index (PASI) scores. Adverse events and reasons for discontinuation were also recorded.ResultsThe mean PASI improvement rate at weeks 4, 12, 24, and 36 was 63.5%, 77.7%, 78.7%, and 76.0%, respectively. Compared with reimbursed patients, nonreimbursed patients had a significantly lower baseline PASI and a shorter mean disease duration of psoriasis; they were more frequently biologic-naïve, had used less prior traditional antipsoriatic drugs and were more likely to be treated with secukinumab 150 mg. The effectiveness of secukinumab in nonreimbursed patients was superior despite higher discontinuation rates. Compared with patients without prior biologic failure, patients with prior biologic failure had a significantly lower mean PASI improvement at weeks 12, 24, 36, and 48. The decline in response rates to secukinumab tended to be more pronounced for patients who failed ustekinumab than tumor necrosis factor-α inhibitors. Moreover, the number of prior biologic failures was associated with a decreased response rate and increased likelihood of secondary loss of effectiveness of secukinumab therapy.ConclusionIn a real-life clinical setting, the characteristics of nonreimbursed patients receiving secukinumab treatment differed from those of reimbursed patients. The PASI improvement for secukinumab was substantial but lower than that in clinical trials. The number and classes of prior biologic failures impact the treatment response to secukinumab.

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Patient characteristics as effect modifiers for psoriasis biologic treatment response: an assessment using network meta-analysis subgroups.

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Patient characteristics as effect modifiers for psoriasis biologic treatment response: an assessment using network meta-analysis subgroups.

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