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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693.932 PEOPLE
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Maastricht University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2020Multi-use disease modelscitations
  • 2016European cost-effectiveness study of uPA/PAI-1 biomarkers to guide adjuvant chemotherapy decisions in breast cancer9citations
  • 2015High-sensitivity troponin assays for the early rule-out or diagnosis of acute myocardial infarction in people with acute chest pain: a systematic review and cost-effectiveness analysis59citations

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Chart of shared publication
Wang, Junfeng
1 / 1 shared
Pouwels, Xavier
1 / 1 shared
Ramaekers, Bram L. T.
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Frederix, Geert
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Hoogenveen, Rudolf T.
1 / 1 shared
Feenstra, Talitha
1 / 1 shared
Wit, G. Ardine De
1 / 1 shared
Koffijberg, Erik
1 / 1 shared
Giessen, Anoukh Van
1 / 1 shared
Li, Xinyu
1 / 2 shared
Jacobs, Volker R.
1 / 1 shared
Bonastre, Julia
1 / 1 shared
Harbeck, Nadia
1 / 1 shared
Mazouni, Chafika
1 / 1 shared
Kates, Ronald
1 / 1 shared
Dunant, Ariane
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Marguet, Sophie
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Ramaekers, Bram
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Kleijnen, J.
1 / 1 shared
Ross, J.
1 / 2 shared
Severens, J.
1 / 1 shared
Armstrong, N.
1 / 1 shared
Whiting, P.
1 / 1 shared
Thokala, P.
1 / 1 shared
Van Asselt, Antoinette
1 / 1 shared
Westwood, M.
1 / 2 shared
Chart of publication period
2020
2016
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Co-Authors (by relevance)

  • Wang, Junfeng
  • Pouwels, Xavier
  • Ramaekers, Bram L. T.
  • Frederix, Geert
  • Hoogenveen, Rudolf T.
  • Feenstra, Talitha
  • Wit, G. Ardine De
  • Koffijberg, Erik
  • Giessen, Anoukh Van
  • Li, Xinyu
  • Jacobs, Volker R.
  • Bonastre, Julia
  • Harbeck, Nadia
  • Mazouni, Chafika
  • Kates, Ronald
  • Dunant, Ariane
  • Marguet, Sophie
  • Ramaekers, Bram
  • Kleijnen, J.
  • Ross, J.
  • Severens, J.
  • Armstrong, N.
  • Whiting, P.
  • Thokala, P.
  • Van Asselt, Antoinette
  • Westwood, M.
OrganizationsLocationPeople

article

High-sensitivity troponin assays for the early rule-out or diagnosis of acute myocardial infarction in people with acute chest pain: a systematic review and cost-effectiveness analysis

  • Kleijnen, J.
  • Ross, J.
  • Severens, J.
  • Armstrong, N.
  • Whiting, P.
  • Thokala, P.
  • Van Asselt, Antoinette
  • Ramaekers, Bram
  • Joore, Manuela
  • Westwood, M.
Abstract

Early diagnosis of acute myocardial infarction (AMI) can ensure quick and effective treatment but only 20% of adults with emergency admissions for chest pain have an AMI. High-sensitivity cardiac troponin (hs-cTn) assays may allow rapid rule-out of AMI and avoidance of unnecessary hospital admissions and anxiety.To assess the clinical effectiveness and cost-effectiveness of hs-cTn assays for the early (within 4 hours of presentation) rule-out of AMI in adults with acute chest pain.Sixteen databases, including MEDLINE and EMBASE, research registers and conference proceedings, were searched to October 2013. Study quality was assessed using QUADAS-2. The bivariate model was used to estimate summary sensitivity and specificity for meta-analyses involving four or more studies, otherwise random-effects logistic regression was used. The health-economic analysis considered the long-term costs and quality-adjusted life-years (QALYs) associated with different troponin (Tn) testing methods. The de novo model consisted of a decision tree and Markov model. A lifetime time horizon (60 years) was used.Eighteen studies were included in the clinical effectiveness review. The optimum strategy, based on the Roche assay, used a limit of blank (LoB) threshold in a presentation sample to rule out AMI [negative likelihood ratio (LR-) 0.10, 95% confidence interval (CI) 0.05 to 0.18]. Patients testing positive could then have a further test at 2 hours; a result above the 99th centile on either sample and a delta (?) of ?20% has some potential for ruling in an AMI [positive likelihood ratio (LR+) 8.42, 95% CI 6.11 to 11.60], whereas a result below the 99th centile on both samples and a ? of

Topics
  • random
  • chemical ionisation