Publications by authors named "T G W van der Heijden"

Health related quality of life (HRQoL) is increasingly assessed in oncology research and routine care, which has led to the inclusion of HRQoL in prediction models. This review aims to describe the current state of oncological prediction models incorporating HRQoL. A systematic literature search for the inclusion of HRQoL in prediction models in oncology was conducted.

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Article Synopsis
  • This study focuses on understanding and predicting clinically relevant fatigue (CRF) in cancer patients two to three years after diagnosis, aiming to enhance supportive care for clinicians.
  • Researchers examined data from 3160 patients with various cancer types, using both traditional logistic regression and advanced machine learning models to identify factors associated with CRF.
  • While the logistic regression model showed good discrimination between patients with and without CRF, it also indicated potential underdiagnosis, raising concerns about the clinical applicability of the models used.
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Background: Implantable cardioverter-defibrillators (ICDs) are effective in detecting and treating ventricular arrhythmias. Studies on ICD therapy for different indications (primary and secondary prevention) and possible predictors of ICD therapy are limited. In this study, the incidence and type of ICD therapy were related to the indication and the underlying cardiac pathology.

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Background: Early-life factors (ELFs) such as childhood nutrition and childhood socio-economic status could be the drivers of the increase in metabolic syndrome (MetSyn) among African populations, but data are lacking. This study evaluated whether markers of childhood nutritional status and childhood socio-economic status were associated with MetSyn in adulthood among migrant Ghanaians living in Europe and non-migrant Ghanaians living in Ghana.

Methods: Data from the Research on Obesity and Diabetes among African Migrants (RODAM) study, involving 2008 migrants and 2320 non-migrants aged ≥25 years, were analysed for this study.

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Assessing the structural properties of large proteins is important to gain an understanding of their function in, e.g., biological systems or biomedical applications.

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