W. Posthuma
University of Groningen
4 Papers
W. Posthuma is an academic researcher from University of Groningen. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Functional status of masticatory system, executive function and episodic memory in older persons
Erik J. A. Scherder,Erik J. A. Scherder,W. Posthuma,T. Bakker,Pieter J. Vuijk,Frank Lobbezoo +5 more
TL;DR: The conclusion of this study is that only in older persons with full dentures the relationship between mastication, episodic memory, and executive function becomes evident when the functional status of the masticatory system decreases.
Polyostotic DLBCL Is Characterized By a NF-Κb Pathway Affecting Molecular Profile and Superior Survival
Ruben A.L. de Groen,Fleur A. de Groot,Lorraine M. de Haan,Tom van Wezel,Troy Noordenbos,Stefan Boehringer,Ronald van Eijk,Richard Raghoo,Dina Ruano,A. Sijs-Szabo,Liane te Boome,Valeska Terpstra,Henriette Levenga,Aline Nicolae,W. Posthuma,Isabelle Focke-Snieders,L. Hardi,Wietske C. E. den Hartog,Lara H Böhmer,A. van den Berg,Pim Mutseaers,M. W. M. van der Poel,Myrurgia Abdul Hamid,F. J. Sherida H. Woei-A-Jin,A. Janssens,Thomas Tousseyn,Judith V.M.G. Bovée,Hendrik Veelken,Steven T. Pals,Arjan Diepstra,Marcel Nijland,Marie José Kersten,P. Jansen,Arjen H.G. Cleven,Joost S.P. Vermaat +34 more
TL;DR: In this article , the molecular characteristics of polyostotic diffuse large B-cell lymphoma (DLBCL) were assessed and compared to disseminated-and primary-bone DLBCL using an extensive targeted next-generation sequencing (tNGS) panel.
P080: The BETER-REFLECT Biobank: a REsource For studies on Late Effects of Cancer Treatment
Adinda Mieras,A. Nijdam,Berthe M.P. Aleman,Laurien A. Daniëls,Eva de Jongh,Cecile P.M. Janus,Stijn Krol,B. D. P. Ta,Francisca Ong,D.J. van Spronsen,W. Posthuma,Wouter J. Plattel,Rimke Oostvogels,Karijn M.S. Verschueren,Josée M. Zijlstra,Flora E. van Leeuwen +15 more
TL;DR: In this paper , Parametric (forward step-wise regression, lasso, and all-pairs lasso) and non-parametric (bagged and boosted regression trees) machine learning algorithms were investigated to identify the relevant risk factors out of a set of 61 potential demographic, physical and psychosocial predictors.
P644: the life expectancy of patients with hairy cell leukemia verges upon the life expectancy of the general population: a population-based study in the netherlands
Avinash G. Dinmohamed,Carolien Maas,Otto Visser,J.K. Doorduijn,Rogier Mous,Reinier Raymakers,A.P. Kater,W. Posthuma +7 more
TL;DR: In this paper , the authors assessed trends in the life expectancy of HCL patients from a historical and contemporary perspective, and estimated the loss in expectation of life (LEL) using flexible parametric relative survival models.