Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

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

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Kautzky-Willer, Alexandra

  • Google
  • 1
  • 14
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024202-OR: Prediction of Late Gestational Diabetes Mellitus in Those without Early GDMcitations

Places of action

Chart of shared publication
Mohan, Viswanathan
1 / 3 shared
Harreiter, Jürgen
1 / 1 shared
Hibbert, Emily
1 / 1 shared
Immanuel, Jincy
1 / 1 shared
Fadl, Helena E.
1 / 1 shared
Wong, Vincent W. M.
1 / 1 shared
Group, Tobogm Research
1 / 1 shared
Nolan, Christopher J.
1 / 1 shared
Teede, Helena
1 / 1 shared
Gianatti, Emily J.
1 / 1 shared
Simmons, David
1 / 1 shared
Hague, William
1 / 1 shared
Sweeting, Arianne
1 / 1 shared
Cheung, N. Wah
1 / 1 shared
Chart of publication period
2024

Co-Authors (by relevance)

  • Mohan, Viswanathan
  • Harreiter, Jürgen
  • Hibbert, Emily
  • Immanuel, Jincy
  • Fadl, Helena E.
  • Wong, Vincent W. M.
  • Group, Tobogm Research
  • Nolan, Christopher J.
  • Teede, Helena
  • Gianatti, Emily J.
  • Simmons, David
  • Hague, William
  • Sweeting, Arianne
  • Cheung, N. Wah
OrganizationsLocationPeople

article

202-OR: Prediction of Late Gestational Diabetes Mellitus in Those without Early GDM

  • Mohan, Viswanathan
  • Harreiter, Jürgen
  • Hibbert, Emily
  • Immanuel, Jincy
  • Fadl, Helena E.
  • Wong, Vincent W. M.
  • Group, Tobogm Research
  • Nolan, Christopher J.
  • Teede, Helena
  • Gianatti, Emily J.
  • Kautzky-Willer, Alexandra
  • Simmons, David
  • Hague, William
  • Sweeting, Arianne
  • Cheung, N. Wah
Abstract

<jats:p>Aim: To compare glycemic test characteristics for predicting GDM at 24-28 weeks’ gestation (LGDM) among those with a normal OGTT &amp;lt;20 weeks’ gestation.</jats:p><jats:p>Methods: Pregnant women with GDM risk factors were enrolled into a multicenter early GDM (EGDM) treatment trial. Women with EGDM are excluded from this analysis. A 2-h 75g OGTT with HbA1c occurred on entry. The OGTT was repeated at 24-28 weeks’ gestation. GDM was defined by WHO 2013 criteria. Receiver Operator Curve (ROC) assessment compared early fasting (FBG), 1-h (1HBG), 2-h (2HBG) glucose and HbA1c prediction of LGDM. ROCs[95%CI] were calculated within European, Asian/Pasifika and other ethnic groups. The proportions with LGDM ≥90th and &amp;lt;90th centile, and their odds ratio (OR [95%CI]) using Mantel-Haenszel testing were calculated for each early glycemic test and a composite of any OGTT measure≥90th centile (F12BG).</jats:p><jats:p>Results: Those with LGDM (n=467) vs no GDM (n=2218) were older (31.4±4.9 vs 30.7±5.1 yrs p=0.009), more likely to be overweight/obese (67.0% vs 57.3% p&amp;lt;0.001), non-European (63.6% vs 57.0% p=0.030) and to have a diabetes family history (52.1% vs 40.7% p&amp;lt;0.001). The ROCs for early FBG, 1HBG, 2HBG, HbA1c were 0.63[0.60-0.66], 0.73[0.70-0.76], 0.66[0.63-0.69], 0.63[0.60-0.66] respectively. ROC patterns were similar across ethnic groups. The ≥90th centile cut-offs (FBG, 1HBG, 2HBG, HbA1c) were ≥4.9 mmol/l, ≥8.8 mmol/l, ≥7.3 mmol/l; ≥5.3% including 11.1%, 10.4%, 10.1%, 15.0% of the cohort. The F12BG composite included 34.0% of the cohort. Comparing ≥90th centile vs &amp;lt;90th centile, LGDM was present in 32.6% vs 15.4%, 47.3% vs 13.9%, 36.4% vs 15.3%, 30.1% vs 14.6%, 35.3% vs 11.4% across the 5 measures with OR of 2.6[2.0-3.4], 5.6[4.3-7.2], 3.2[2.4-4.2], 2.5[2.0-3.2], 4.2[3.4-5.2] respectively. Sensitivities were 21.4%, 28.3%, 21.2%, 27.7%, 50.7% respectively.</jats:p><jats:p>Conclusions: After excluding those with EGDM, the 1HBG was the best single test, but no single or combined early glycemic measure was sufficiently discriminatory to avoid the second OGTT.</jats:p><jats:sec><jats:title>Disclosure</jats:title><jats:p>D. Simmons: Speaker's Bureau; Abbott. Consultant; Sanofi. Speaker's Bureau; Ascensia Diabetes Care. Other Relationship; Ascensia Diabetes Care, Boehringer-Ingelheim. Research Support; Dexcom, Inc. Speaker's Bureau; Novo Nordisk. Research Support; Wests Club, NSW, Australia, Roche Diabetes Care. W. Hague: None. A. Sweeting: None. N. Cheung: None. C.J. Nolan: None. H. Teede: None. M.J. Peek: None. A. Kautzky-Willer: None. E. Hibbert: None. H.E. Fadl: None. V.W.M. Wong: None. J. Harreiter: None. J. Immanuel: None. E.J. Gianatti: None. V. Mohan: None.</jats:p></jats:sec><jats:sec><jats:title>Funding</jats:title><jats:p>National Health and Medical Research Council (grants 1104231 and 2009326), the Region Örebro Research Committee (grants Dnr OLL-970566 and OLL-942177), Medical Scientific Fund of the Mayor of Vienna (project numbers 15205 and 23026), the South Western Sydney Local Health District Academic Unit (grant 2016), and a Western Sydney University Ainsworth Trust Grant (2019).</jats:p></jats:sec>

Topics
  • composite
  • size-exclusion chromatography
  • chemical ionisation