Publications by authors named "Najeeda Yasmeen"

Introduction: Pemphigus diseases are a family of chronic, autoimmune, blistering skin conditions. Despite advances in treatment approaches, more effective and safer therapies for pemphigus are urgently needed. Trials investigating novel therapeutics must be designed to yield evidence that can be compared to existing data, necessitating a comprehensive understanding of the clinical trial landscape.

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Introduction: A range of treatments are available for moderate-to-severe psoriasis; however, there remains a paucity of direct comparisons of these in head-to-head trials. Network meta-analyses (NMA) allow comparisons of these to support clinical decision making. This systematic literature review assesses the methodological quality of NMAs available for moderate-to-severe psoriasis and compares their methods and results.

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Purpose: To compare PASI outcomes of approved biologics and apremilast after 1 year of treatment.

Methods: A systematic review identified RCTs and long-term extensions reporting PASI 75, 90, and 100 responses in adults with moderate-to-severe psoriasis. Data for analysis were modeled using a Bayesian multinomial likelihood model with probit link.

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Introduction: New generation biologics, including interleukin (IL)-17 and IL-23 inhibitors, have delivered higher rates of skin clearance than older treatments in head-to-head studies. However, studies comparing these new biologics directly to one another are limited.

Objectives: To compare the short-term efficacy of available (or imminently available) biologic and non-biologic systemic therapies for treating patients with moderate-to-severe plaque psoriasis.

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Purpose: To evaluate the relative efficacy of brodalumab compared with approved biologic therapies and apremilast for moderate-to-severe psoriasis.

Methods: We searched MEDLINE, Embase, and Cochrane for randomized controlled trials reporting induction phase responses. The primary analysis examined the proportion of patients achieving Psoriasis Area Severity Index (PASI) 50, 75, 90, or 100 responses using a random-effects Bayesian multinomial likelihood model with probit link, with and without adjustment for variation in study-level placebo responses.

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