2017
DOI: 10.3310/hta21640
|View full text |Cite
|
Sign up to set email alerts
|

Adalimumab, etanercept and ustekinumab for treating plaque psoriasis in children and young people: systematic review and economic evaluation

Abstract: Background Psoriasis is a chronic inflammatory disease that predominantly affects the skin. Adalimumab (HUMIRA®, AbbVie, Maidenhead, UK), etanercept (Enbrel®, Pfizer, New York, NY, USA) and ustekinumab (STELARA®, Janssen Biotech, Inc., Titusville, NJ, USA) are the three biological treatments currently licensed for psoriasis in children. Objective To determine the clinical effectiveness and cost-effectiveness of adalimumab, et… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
16
0
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
2

Relationship

2
6

Authors

Journals

citations
Cited by 20 publications
(17 citation statements)
references
References 150 publications
0
16
0
1
Order By: Relevance
“…In spite of this evidence for effectiveness and the favourable safety profile, the overall performance of adalimumab in children seems to be inferior to etanercept and ustekinumab. 79,81 Elderly patients are another distinct population requiring specific attention. A retrospective study in 89 patients aged at least 65 years treated with anti-TNF-α agents 82 found PASI50 in 82% of the patients receiving adalimumab at week 156.…”
Section: Pregnancy Lactation Children and The Elderlymentioning
confidence: 99%
“…In spite of this evidence for effectiveness and the favourable safety profile, the overall performance of adalimumab in children seems to be inferior to etanercept and ustekinumab. 79,81 Elderly patients are another distinct population requiring specific attention. A retrospective study in 89 patients aged at least 65 years treated with anti-TNF-α agents 82 found PASI50 in 82% of the patients receiving adalimumab at week 156.…”
Section: Pregnancy Lactation Children and The Elderlymentioning
confidence: 99%
“…common effects) where all data points inform a single parameter independently of whether the evidence is direct or indirect. Examples include pooling RTEs across time-points [32], (sub-)populations [14,35], or interventions of the same treatment class [30,32,39,45], as well as pooling between-trial heterogeneity parameters [45,100,102,103] or meta-regression slopes [36,99,101].…”
Section: Functional Relationshipsmentioning
confidence: 99%
“…We also identified the most common synthesis challenges addressed by the included papers. Amongst papers sharing information across populations, 3 [14,33,34] developed models to accommodate simultaneous synthesis of adult and paediatric evidence, 1 [35] described models that allowed informationsharing between patients subgroups, and 2 [36,37] provided model extensions for baseline risk adjustment. Amongst papers sharing information across interventions, 7 [38][39][40][41][42][43][44] simultaneously synthesised multiple dosages of the same treatment, 7 [32,35,40,[44][45][46][47] shared information across interventions that fall under the same 'class', and 5 [30,45,[48][49][50]] dealt with complex interventions (i.e.…”
Section: Insert Figure 2 Here ]mentioning
confidence: 99%
“…We also identified the most common synthesis challenges addressed by the included papers. Amongst papers sharing information across populations, 3 [14,33,34] developed models to accommodate simultaneous synthesis of adult and paediatric evidence, 1 [35] described models that allowed informationsharing between patients subgroups, and 2 [36,37] provided model extensions for baseline risk adjustment. Amongst papers sharing information across interventions, 7 [38][39][40][41][42][43][44] simultaneously synthesised multiple dosages of the same treatment, 7 [32,35,40,[44][45][46][47] shared across interventions that fall under the same 'class', and 5 [30,45,[48][49][50] dealt with complex interventions (i.e.…”
Section: Insert Figure 2 Here ]mentioning
confidence: 99%
“…common effects) where all data points inform a single parameter independently of whether the evidence is direct or indirect. Examples include pooling RTEs across time-points [32] or (sub-)populations [14,35] as well as pooling between-trial heterogeneity parameters [92] or meta-regression slopes [91].…”
Section: Functional Relationshipsmentioning
confidence: 99%