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

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Application of Compressible Carbon in Cement to Mitigate Cement Pore Pressure Reduction and Improve Zonal Isolationcitations
  • 2021Numerical simulation and design of stainless steel hollow flange beams under shear5citations
  • 2021Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome18citations
  • 2005The influence of physical and chemical linkage on the properties of nanocomposites23citations

Places of action

Chart of shared publication
Robin, R. J.
1 / 1 shared
Koester, S.
1 / 1 shared
Odonnell, B. J.
1 / 1 shared
Stiles, D. A.
1 / 1 shared
Wu, Q.
1 / 4 shared
Johnson, K.
1 / 12 shared
Benton, J.
1 / 1 shared
Freysteinson, J.
1 / 1 shared
Gunalan, S.
1 / 10 shared
Dissanayake, Dmmp
1 / 3 shared
Guss, J.
1 / 1 shared
Tsavdaridis, Kd
1 / 12 shared
Poologanathan, K.
1 / 6 shared
Nelson, J. K.
1 / 2 shared
Roy, M.
1 / 14 shared
Schadler, L. S.
1 / 6 shared
Fothergill, J.
1 / 6 shared
Chart of publication period
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Co-Authors (by relevance)

  • Robin, R. J.
  • Koester, S.
  • Odonnell, B. J.
  • Stiles, D. A.
  • Wu, Q.
  • Johnson, K.
  • Benton, J.
  • Freysteinson, J.
  • Gunalan, S.
  • Dissanayake, Dmmp
  • Guss, J.
  • Tsavdaridis, Kd
  • Poologanathan, K.
  • Nelson, J. K.
  • Roy, M.
  • Schadler, L. S.
  • Fothergill, J.
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