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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2021Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome18citations
  • 2016High glass transition temperature fluoropolymers for hydrophobic surface coatings via RAFT copolymerization6citations
  • 2005Nanostructured Co 1-xNi x(Sb 1-yTe y) 3 skutterudites: Theoretical modeling, synthesis and thermoelectric properties85citations
  • 2004The impact of nanostructuring on the thermal conductivity of thermoelectric CoSb3288citations

Places of action

Chart of shared publication
Williams, S.
3 / 18 shared
Teo, Gh
1 / 1 shared
Thickett, Stuart
1 / 3 shared
Horne, James
1 / 1 shared
Neto, C.
1 / 2 shared
Al-Khayat, O.
1 / 1 shared
Bertini, L.
2 / 15 shared
B., Iversen B.
1 / 2 shared
Toprak, M.
1 / 1 shared
Stiewe, C.
2 / 5 shared
Christensen, M.
1 / 4 shared
Platzek, D.
2 / 2 shared
Muhammed, M.
2 / 7 shared
Gatti, C.
2 / 6 shared
Muller, E.
2 / 5 shared
Zhang, Y.
1 / 149 shared
S., Toprak M.
1 / 1 shared
Chart of publication period
2021
2016
2005
2004

Co-Authors (by relevance)

  • Williams, S.
  • Teo, Gh
  • Thickett, Stuart
  • Horne, James
  • Neto, C.
  • Al-Khayat, O.
  • Bertini, L.
  • B., Iversen B.
  • Toprak, M.
  • Stiewe, C.
  • Christensen, M.
  • Platzek, D.
  • Muhammed, M.
  • Gatti, C.
  • Muller, E.
  • Zhang, Y.
  • S., Toprak M.
OrganizationsLocationPeople

article

Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome

  • Brearton, G.
  • Maynard, A.
  • Stockdale, A.
  • Freitas, Andre
  • Zhou, C.
  • Huddar, P.
  • Williams, S.
  • Angelakas, A.
  • Tweedy, J.
  • Cooksley, T.
  • Gomes, F.
  • Shotton, R.
  • Dickens, E.
  • Rowe, M.
  • Wysocki, O.
  • Palmer, D.
  • Khan, U. T.
  • Copson, E.
  • Weaver, J.
  • Harrison, M.
  • Sheehan, R.
  • Baxter, M.
  • Wilson, C.
  • Hudson, Z.
  • Aung, T.
  • Armstrong, C. A.
  • Horsley, L.
  • Robinson, T.
  • Tivey, A.
  • Lee, Rebecca
  • Palmieri, C.
  • Hague, C.
  • Mckenzie, H.
  • Bhogal, T.
  • Eastlake, L.
  • Thomas, A.
  • Dive, C.
  • Banfill, Kathryn
  • Boyce, H.
  • Khan, S.
Abstract

<p>Background: Cancer patients are at increased risk of death from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Cancer and its treatment affect many haematological and biochemical parameters, therefore we analysed these prior to and during coronavirus disease 2019 (COVID-19) and correlated them with outcome. </p><p>Patients and methods: Consecutive patients with cancer testing positive for SARS-CoV-2 in centres throughout the United Kingdom were identified and entered into a database following local governance approval. Clinical and longitudinal laboratory data were extracted from patient records. Data were analysed using Mann–Whitney U test, Fisher's exact test, Wilcoxon signed rank test, logistic regression, or linear regression for outcomes. Hierarchical clustering of heatmaps was performed using Ward's method. </p><p>Results: In total, 302 patients were included in three cohorts: Manchester (n = 67), Liverpool (n = 62), and UK (n = 173). In the entire cohort (N = 302), median age was 69 (range 19-93 years), including 163 males and 139 females; of these, 216 were diagnosed with a solid tumour and 86 with a haematological cancer. Preinfection lymphopaenia, neutropaenia and lactate dehydrogenase (LDH) were not associated with oxygen requirement (O<sub>2</sub>) or death. Lymphocyte count (P &lt; 0.001), platelet count (P = 0.03), LDH (P &lt; 0.0001) and albumin (P &lt; 0.0001) significantly changed from preinfection to during infection. High rather than low neutrophils at day 0 (P = 0.007), higher maximal neutrophils during COVID-19 (P = 0.026) and higher neutrophil-to-lymphocyte ratio (NLR; P = 0.01) were associated with death. In multivariable analysis, age (P = 0.002), haematological cancer (P = 0.034), C-reactive protein (P = 0.004), NLR (P = 0.036) and albumin (P = 0.02) at day 0 were significant predictors of death. In the Manchester/Liverpool cohort 30 patients have restarted therapy following COVID-19, with no additional complications requiring readmission. </p><p>Conclusion: Preinfection biochemical/haematological parameters were not associated with worse outcome in cancer patients. Restarting treatment following COVID-19 was not associated with additional complications. Neutropaenia due to cancer/treatment is not associated with COVID-19 mortality. Cancer therapy, particularly in patients with solid tumours, need not be delayed or omitted due to concerns that treatment itself increases COVID-19 severity.</p>

Topics
  • impedance spectroscopy
  • Oxygen
  • reactive
  • clustering