Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

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Publications (1/1 displayed)

  • 2024An economic evaluation of eptinezumab for the preventive treatment of migraine in the UK, with consideration for natural history and work productivity3citations

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Goadsby, Peter J.
1 / 2 shared
Griffin, Edward
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Awad, Susanne F.
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Shirley, Gawain
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Lee, Xin Ying
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2024

Co-Authors (by relevance)

  • Goadsby, Peter J.
  • Griffin, Edward
  • Awad, Susanne F.
  • Shirley, Gawain
  • Lee, Xin Ying
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article

An economic evaluation of eptinezumab for the preventive treatment of migraine in the UK, with consideration for natural history and work productivity

  • Goadsby, Peter J.
  • Griffin, Edward
  • Tyagi, Alok
  • Awad, Susanne F.
  • Shirley, Gawain
  • Lee, Xin Ying
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Migraine is a highly prevalent neurological disease with a substantial societal burden due to lost productivity. From a societal perspective, we assessed the cost-effectiveness of eptinezumab for the preventive treatment of migraine.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>An individual patient simulation of discrete competing events was developed to evaluate eptinezumab cost-effectiveness compared to best supportive care for adults in the United Kingdom with ≥ 4 migraine days per month and prior failure of ≥ 3 preventive migraine treatments. Individuals with sampled baseline characteristics were created to represent this population, which comprised dedicated episodic and chronic migraine subpopulations. Clinical efficacy, utility, and work productivity inputs were based on results from the DELIVER randomised controlled trial (NCT04418765). Timing of natural history events and treatment holidays—informed by the literature—were simulated to unmask any natural improvement of the disease unrelated to treatment. The primary outcomes were monthly migraine days, migraine-associated costs, quality-adjusted life years (QALYs), incremental cost-effectiveness ratio, and net monetary benefit, each evaluated over a 5-year time horizon from 2020. Secondary analyses explored a lifetime horizon and an alternative treatment stopping rule.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Treatment with eptinezumab resulted in an average of 0.231 QALYs gained at a saving of £4,894 over 5 years, making eptinezumab dominant over best supportive care (i.e., better health outcomes and less costly). This result was confirmed by the probabilistic analysis and all alternative assumption scenarios under the same societal perspective. Univariate testing of inputs showed net monetary benefit was most sensitive to the number of days of productivity loss, and monthly salary.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>This economic evaluation shows that from a societal perspective, eptinezumab is a cost-effective treatment in patients with ≥ 4 migraine days per month and for whom ≥ 3 other preventive migraine treatments have failed.</jats:p></jats:sec><jats:sec><jats:title>Trial registration</jats:title><jats:p>N/A.</jats:p></jats:sec><jats:sec><jats:title>Graphical Abstract</jats:title></jats:sec>

Topics
  • impedance spectroscopy
  • simulation
  • laser emission spectroscopy
  • size-exclusion chromatography