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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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 (2/2 displayed)

  • 2024Telemedicine-based serious illness conversations, healthcare utilization, and end of life care among patients with advanced lung cancercitations
  • 2007Significant effect of size on the in vivo biodistribution of gold composite nanodevices in mouse tumor models199citations

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Chart of shared publication
Lau-Min, Kelsey
1 / 1 shared
Lee, Howard
1 / 2 shared
Lindvall, Charlotta
1 / 2 shared
Nipp, Ryan
1 / 1 shared
Bhat, Roopa S.
1 / 1 shared
Dhawale, Tejaswini M.
1 / 1 shared
Johnson, P. Connor
1 / 1 shared
Boateng, Kofi
1 / 1 shared
Amonoo, Hermioni L.
1 / 1 shared
Nair, Bindu M.
1 / 4 shared
Balogh, Lajos
1 / 1 shared
Khan, Mohamed K.
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Nigavekar, Shraddha S.
1 / 3 shared
Kariapper, Muhammed S. T.
1 / 3 shared
Llanes, Mikel
1 / 1 shared
Bolton, Brian
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Lesniak, Wojciech
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Zhang, Chunxin
1 / 1 shared
Sung, Lok Yun
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Mamou, Fatema
1 / 1 shared
Hutson, Alan
1 / 2 shared
Tan, Wei
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Minc, Leah
1 / 1 shared
Chart of publication period
2024
2007

Co-Authors (by relevance)

  • Lau-Min, Kelsey
  • Lee, Howard
  • Lindvall, Charlotta
  • Nipp, Ryan
  • Bhat, Roopa S.
  • Dhawale, Tejaswini M.
  • Johnson, P. Connor
  • Boateng, Kofi
  • Amonoo, Hermioni L.
  • Nair, Bindu M.
  • Balogh, Lajos
  • Khan, Mohamed K.
  • Nigavekar, Shraddha S.
  • Kariapper, Muhammed S. T.
  • Llanes, Mikel
  • Bolton, Brian
  • Lesniak, Wojciech
  • Zhang, Chunxin
  • Sung, Lok Yun
  • Mamou, Fatema
  • Hutson, Alan
  • Tan, Wei
  • Minc, Leah
OrganizationsLocationPeople

article

Telemedicine-based serious illness conversations, healthcare utilization, and end of life care among patients with advanced lung cancer

  • El-Jawahri, Areej
  • Lau-Min, Kelsey
  • Lee, Howard
  • Lindvall, Charlotta
  • Nipp, Ryan
  • Bhat, Roopa S.
  • Dhawale, Tejaswini M.
  • Johnson, P. Connor
  • Boateng, Kofi
  • Amonoo, Hermioni L.
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Purpose</jats:title><jats:p>Little is known about serious illness conversations (SIC) conducted during telemedicine visits and their impact on end-of-life (EOL) outcomes for patients with advanced cancer.</jats:p></jats:sec><jats:sec><jats:title>Patients and Methods</jats:title><jats:p>We conducted a retrospective analysis telemedicine visits for patients with metastatic lung cancer conducted during the first surge of the COVID-19 pandemic (October 3, 2020-October 6, 2020). We used natural language processing (NLP) to characterize documentation of SIC domains (ie, goals of care [GOC], limitation of life-sustaining treatment [LLST], prognostic awareness [PA], palliative care [PC], and hospice). We used unadjusted logistic regression to evaluate factors associated with SIC documentation and the relationship between SIC documentation and EOL outcomes.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The study included 634 telemedicine visits across 360 patients. Documentation of at least one SIC domain was present in 188 (29.7%) visits with GOC and PA being the most discussed domains. Family presence (odds ratio [OR], 1.66; P = .004), progressive or newly diagnosed disease (OR, 5.42; P &amp;lt; .000), age ≥ 70 (OR, 1.80; P = .009), and male sex (OR, 2.23; P &amp;lt; .000) were associated with a greater likelihood of discussing ≥ 1 SIC domain. Of the 61 patients who died within 12 months of the study period, having ≥ 1 SIC domain discussed was associated with a lower likelihood of hospitalization in the last 30 days of life (OR, 0.27; P = .020).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>In this study of telehealth visits, we identified important factors associated with an increased likelihood of having documentation of an SIC and demonstrated that SIC documentation correlated with lower likelihood of hospitalization at EOL.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography