Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Turner, Emma

  • Google
  • 6
  • 37
  • 2499

University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2022Systematic Review of Cost-Effectiveness Models in Prostate Cancer11citations
  • 2021A new gas absorption optical depth parameterisation for RTTOV version 1324citations
  • 2017Prostate Specific Antigen (PSA) testing of men in UK general practice:40citations
  • 201610-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer.2333citations
  • 2016Validating the use of hospital episode statistics data and comparison of costing methodologies for economic evaluation29citations
  • 2011Prostate-specific antigen testing rates remain low in UK general practice: A cross-sectional study in six English cities62citations

Places of action

Chart of shared publication
Martin, Richard
5 / 11 shared
Thom, Howard
1 / 3 shared
Keeney, Edna
1 / 1 shared
Sanghera, Sabina
1 / 1 shared
Morley, Josie E.
1 / 1 shared
Brunel, Pascal
1 / 1 shared
Lupu, Cristina
1 / 1 shared
Silveira, Bruna
1 / 1 shared
Vidot, Jérôme
1 / 1 shared
Hocking, James
1 / 1 shared
Roquet, Pascale
1 / 1 shared
Oliver, Steven
1 / 1 shared
Metcalfe, Chris
3 / 6 shared
Neal, David
1 / 1 shared
Young, Grace
1 / 1 shared
Donovan, Jenny L.
4 / 8 shared
Ben-Shlomo, Yoav
1 / 2 shared
Evans, Simon
1 / 2 shared
Hamdy, Freddie
1 / 2 shared
Harrison, Sean
1 / 2 shared
Lane, Athene
2 / 4 shared
Walsh, Eleanor
3 / 3 shared
Mason, Malcolm
1 / 1 shared
Davis, Michael
1 / 2 shared
Hamdy, Freddie C.
2 / 2 shared
Peters, Tj
1 / 3 shared
Neal, David E.
1 / 2 shared
Verne, Julia E. C. W.
1 / 1 shared
Group, The Cap Trial
1 / 1 shared
Down, Liz
1 / 2 shared
Thorn, Joanna
1 / 1 shared
Hounsome, Luke
1 / 1 shared
Noble, Sian
1 / 1 shared
Neal, De
1 / 2 shared
Williams, N.
1 / 3 shared
Hughes, Lj
1 / 1 shared
Hamdy, Fc
1 / 2 shared
Chart of publication period
2022
2021
2017
2016
2011

Co-Authors (by relevance)

  • Martin, Richard
  • Thom, Howard
  • Keeney, Edna
  • Sanghera, Sabina
  • Morley, Josie E.
  • Brunel, Pascal
  • Lupu, Cristina
  • Silveira, Bruna
  • Vidot, Jérôme
  • Hocking, James
  • Roquet, Pascale
  • Oliver, Steven
  • Metcalfe, Chris
  • Neal, David
  • Young, Grace
  • Donovan, Jenny L.
  • Ben-Shlomo, Yoav
  • Evans, Simon
  • Hamdy, Freddie
  • Harrison, Sean
  • Lane, Athene
  • Walsh, Eleanor
  • Mason, Malcolm
  • Davis, Michael
  • Hamdy, Freddie C.
  • Peters, Tj
  • Neal, David E.
  • Verne, Julia E. C. W.
  • Group, The Cap Trial
  • Down, Liz
  • Thorn, Joanna
  • Hounsome, Luke
  • Noble, Sian
  • Neal, De
  • Williams, N.
  • Hughes, Lj
  • Hamdy, Fc
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.

Topics