Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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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Materials Map under construction

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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1.080 Topics available

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693.932 PEOPLE
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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2022A clinical tool to identify older women with back pain at high risk of osteoporotic vertebral fractures (Vfrac)6citations
  • 2022Systematic Review of Cost-Effectiveness Models in Prostate Cancer11citations
  • 2021Exploratory Comparison of Healthcare costs and benefits of the UK’s Covid-19 response with four European countries15citations

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Chart of shared publication
Clark, Emma
1 / 1 shared
Khera, Tarnjit
1 / 1 shared
Davis, Sarah
1 / 1 shared
Peters, Tj
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Gooberman-Hill, Rachael
1 / 2 shared
Hunt, Linda P.
1 / 1 shared
Paskins, Zoe
1 / 1 shared
Tobias, Jon
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Xu, Yixin
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Turner, Emma
1 / 6 shared
Martin, Richard
1 / 11 shared
Keeney, Edna
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Sanghera, Sabina
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Morley, Josie E.
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Hollingworth, William
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Walker, Josephine
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Vickerman, Peter
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2022
2021

Co-Authors (by relevance)

  • Clark, Emma
  • Khera, Tarnjit
  • Davis, Sarah
  • Peters, Tj
  • Gooberman-Hill, Rachael
  • Hunt, Linda P.
  • Paskins, Zoe
  • Tobias, Jon
  • Xu, Yixin
  • Turner, Emma
  • Martin, Richard
  • Keeney, Edna
  • Sanghera, Sabina
  • Morley, Josie E.
  • Hollingworth, William
  • Walker, Josephine
  • Vickerman, Peter
OrganizationsLocationPeople

article

Systematic Review of Cost-Effectiveness Models in Prostate Cancer

  • Turner, Emma
  • Martin, Richard
  • Thom, Howard
  • Keeney, Edna
  • Sanghera, Sabina
  • Morley, Josie E.
Abstract

Objectives<br/>Recent innovations in prostate cancer diagnosis include new biomarkers and more accurate biopsy methods. This study assesses the evidence base on cost-effectiveness of these developments (e.g. Prostate Health Index (PHI) and MRI-guided biopsy) and identifies areas of improvement for future cost-effectiveness models. <br/>Methods <br/>A systematic review using the NHS Economic Evaluation Database, Medline, EMBASE, HTA databases, NICE guidelines, and UK National Screening Committee guidance was carried out, between 2009 and 2021. Relevant data were extracted on study type, model inputs, modelling methods and cost-effectiveness conclusions, and results narratively synthesized.<br/>Results <br/>22 model-based economic evaluations were included. Eleven compared the cost-effectiveness of new biomarkers to PSA testing alone and all found biomarkers to be cost saving. Eight compared MRI-guided biopsy methods to TRUS guided and found MRI-guided methods to be most cost-effective. Newer detection methods showed a reduction in unnecessary biopsies and overtreatment. The most cost-effective follow-up strategy in men with a negative initial biopsy was uncertain. Many studies did not model for stage or grade of cancer, cancer progression or the entire testing and treatment pathway. Few fully accounted for uncertainty.<br/>Conclusions <br/>This review brings together the cost-effectiveness literature for novel diagnostic methods in prostate cancer, showing that most studies have found new methods to be more cost-effective than standard of care. Several limitations of the models were identified, however, limiting reliability of the results. Areas for further development include accurately modelling the impact of early diagnostic tests on long-term outcomes of prostate cancer and fully accounting for uncertainty.

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