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The Clinical and Cost Effectiveness of Apremilast for Treating Active Psoriatic Arthritis: A Critique of the Evidence

Overview of attention for article published in PharmacoEconomics, June 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
The Clinical and Cost Effectiveness of Apremilast for Treating Active Psoriatic Arthritis: A Critique of the Evidence
Published in
PharmacoEconomics, June 2016
DOI 10.1007/s40273-016-0419-7
Pubmed ID
Authors

Eleftherios Sideris, Mark Corbett, Stephen Palmer, Nerys Woolacott, Laura Bojke

Abstract

As part of the National Institute for Health and Clinical Excellence (NICE) single technology appraisal (STA) process, the manufacturer of apremilast was invited to submit evidence for its clinical and cost effectiveness for the treatment of active psoriatic arthritis (PsA) for whom disease-modifying anti-rheumatic drugs (DMARDs) have been inadequately effective, not tolerated or contraindicated. The Centre for Reviews and Dissemination and Centre for Health Economics at the University of York were commissioned to act as the independent Evidence Review Group (ERG). This paper provides a description of the ERG review of the company's submission, the ERG report and submission and summarises the NICE Appraisal Committee's subsequent guidance (December 2015). In the company's initial submission, the base-case analysis resulted in an incremental cost-effectiveness ratio (ICER) of £14,683 per quality-adjusted life-year (QALY) gained for the sequence including apremilast (positioned before tumour necrosis factor [TNF]-α inhibitors) versus a comparator sequence without apremilast. However, the ERG considered that the base-case sequence proposed by the company represented a limited set of potentially relevant treatment sequences and positions for apremilast. The company's base-case results were therefore not a sufficient basis to inform the most efficient use and position of apremilast. The exploratory ERG analyses indicated that apremilast is more effective (i.e. produces higher health gains) when positioned after TNF-α inhibitor therapies. Furthermore, assumptions made regarding a potential beneficial effect of apremilast on long-term Health Assessment Questionnaire (HAQ) progression, which cannot be substantiated, have a very significant impact on results. The NICE Appraisal Committee (AC), when taking into account their preferred assumptions for HAQ progression for patients on treatment with apremilast, placebo response and monitoring costs for apremilast, concluded that the addition of apremilast resulted in cost savings but also a QALY loss. These cost savings were not high enough to compensate for the clinical effectiveness that would be lost. The AC thus decided that apremilast alone or in combination with DMARD therapy is not recommended for treating adults with active PsA that has not responded to prior DMARD therapy, or where such therapy is not tolerated.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 18%
Researcher 7 18%
Student > Master 5 13%
Student > Postgraduate 3 8%
Student > Doctoral Student 3 8%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Pharmacology, Toxicology and Pharmaceutical Science 5 13%
Nursing and Health Professions 4 10%
Economics, Econometrics and Finance 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 5 13%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2021.
All research outputs
#6,814,845
of 22,876,619 outputs
Outputs from PharmacoEconomics
#742
of 1,817 outputs
Outputs of similar age
#108,528
of 340,472 outputs
Outputs of similar age from PharmacoEconomics
#14
of 25 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,817 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.