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)

  • 2024The EASL–Lancet Commission on liver health in Europe: prevention, case-finding, and early diagnosis to reduce liver-related mortality10citations
  • 2023Risk of liver-related events in metabolic dysfunction-associated steatohepatitis (MASH) patients with fibrosis: A comparative analysis of various risk stratification criteria10citations

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Chart of shared publication
Rutter, Harry
1 / 1 shared
Schomerus, Georg
1 / 1 shared
Guha, Neil
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Carrieri, Patrizia
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Manns, Michael P.
1 / 1 shared
Burra, Patrizia
1 / 1 shared
Karlsen, Tom H.
1 / 1 shared
Buti, Maria
1 / 4 shared
Gines, Pere
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Voigt, Kristin
1 / 1 shared
Hutchinson, Sharon
1 / 1 shared
Engebretsen, Eivind
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Zelber-Sagi, Shira
1 / 1 shared
Kleinert, Sabine
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Krag, Aleksander
1 / 1 shared
Viganò, Mauro
1 / 1 shared
Ledinghen, Victor De
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George, Jacob
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Cammà, Calogero
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Petta, Salvatore
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Tulone, Adele
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Marco, Vito Di
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Lange, Naomi F.
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Pennisi, Grazia
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Sebastiani, Giada
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Enea, Marco
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Wong, Vincent Wai-Sun
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Maria, Gabriele Di
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Fracanzani, Anna Ludovica
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Romero-Gomez, Manuel
1 / 1 shared
Cannella, Roberto
1 / 1 shared
Bugianesi, Elisabetta
1 / 1 shared
Delamarre, Adèle
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2024
2023

Co-Authors (by relevance)

  • Rutter, Harry
  • Schomerus, Georg
  • Guha, Neil
  • Carrieri, Patrizia
  • Manns, Michael P.
  • Burra, Patrizia
  • Karlsen, Tom H.
  • Buti, Maria
  • Gines, Pere
  • Voigt, Kristin
  • Hutchinson, Sharon
  • Engebretsen, Eivind
  • Zelber-Sagi, Shira
  • Kleinert, Sabine
  • Krag, Aleksander
  • Viganò, Mauro
  • Ledinghen, Victor De
  • George, Jacob
  • Cammà, Calogero
  • Petta, Salvatore
  • Tulone, Adele
  • Marco, Vito Di
  • Lange, Naomi F.
  • Pennisi, Grazia
  • Sebastiani, Giada
  • Enea, Marco
  • Wong, Vincent Wai-Sun
  • Maria, Gabriele Di
  • Fracanzani, Anna Ludovica
  • Romero-Gomez, Manuel
  • Cannella, Roberto
  • Bugianesi, Elisabetta
  • Delamarre, Adèle
OrganizationsLocationPeople

article

Risk of liver-related events in metabolic dysfunction-associated steatohepatitis (MASH) patients with fibrosis: A comparative analysis of various risk stratification criteria

  • Viganò, Mauro
  • Ledinghen, Victor De
  • George, Jacob
  • Berzigotti, Annalisa
  • Cammà, Calogero
  • Petta, Salvatore
  • Tulone, Adele
  • Marco, Vito Di
  • Lange, Naomi F.
  • Pennisi, Grazia
  • Sebastiani, Giada
  • Enea, Marco
  • Wong, Vincent Wai-Sun
  • Maria, Gabriele Di
  • Fracanzani, Anna Ludovica
  • Romero-Gomez, Manuel
  • Cannella, Roberto
  • Bugianesi, Elisabetta
  • Delamarre, Adèle
Abstract

<jats:sec><jats:title>Background:</jats:title><jats:p>International regulatory agencies recommend testing drug therapy for patients with noncirrhotic high-risk metabolic dysfunction-associated steatohepatitis (MASH) because they are at risk of liver-related events(LRE). We aimed to compare the risk of LRE in MASLD patients stratified for F2-F4 fibrosis and MASH.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>1938 consecutive patients with biopsy-proven MASLD were enrolled. High-risk MASH was defined as MASH with F2-F4 fibrosis. LSM was measured by transient elastography. LRE were recorded during follow-up. Cox multivariate models were used to assess the association between high-risk MASH or F2-F4 fibrosis without MASH, of LSM(≥8 or ≥10 Kpa) and of AGILE 3+ with LRE. The diagnostic performance for the prediction of LRE was assessed using the area under the receiver operating characteristic(AUROC) curves.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>The observed 5-year actuarial rate of LRE was 0.4%,0.2%,5.1% and 6.6% in patients with F0-F1 fibrosis without MASH, F0-F1 fibrosis with MASH, F2-F4 fibrosis without MASH, and high-risk MASH, respectively. At multivariate Cox regression analysis using F0-F1 fibrosis without MASH as reference, both F2-F4 fibrosis without MASH (adjusted hazard ratio[aHR] 9.96) and high-risk MASH (aHR 10.14) were associated with LRE. In the 1074 patients with available LSM, LSM≥10 KPa(aHR 6.31) or AGILE 3+ &gt;0.67 (aHR 27.45) independently predicted the development of LRE and had similarly acceptable 5-year AUROC to high-risk MASH and F2-F4 fibrosis(0.772,0.818,0.739, and 0.780, respectively).</jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p>The risk of LRE is similar in patients with high-risk MASH and with F2-F4 fibrosis without MASH. The use of LSM≥10 KPa or AGILE 3+ &gt;0.67 could be an accurate option to identify MASLD patients worthy to be included in clinical trials.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography