Recent development in antithrombotic therapy

The present work reviews many newer concepts in antithrombotic therapy which have been introduced due to the understanding of the molecular thrombotic processes and to the advances in biotechnology and separation techniques.     

Atrial fibrillation: trends in prevalence and antithrombotic prescriptions in the community

Netherlands Heart Journal - In the past decade, the atrial fibrillation (AF) landscape, including the treatment modalities, has drastically changed. This raises the question how AF prevalence and...     

Manipulation of the tumour-associated vasculature to improve tumour therapy

Inhibition of tumour vascular growth, destruction of the tumour associated vasculature (TAV), and manipulation of the endothelial lining of the TAV provide powerful tools for anti-tumour therapy. We previously demonstrated that addition of TNF to chemotherapy improved tumour response. The major effect of TNF is an increased permeability of the tumour vascular bed resulting in augmented accumulation of co-administered drug in the tumour. As the TAV is recognised as a major candidate in tumour therapy it is becoming important to understand anti-vascular effects better. In our laboratory we examine the effect of immunotherapy on the TAV, and the effect of anti tumour-vascular therapy on tumours. This is studied in animal models, which exhibit similarities with the clinical setting, such as tumour perfusion treatment.     

Use of additive models to represent trends in a barley field trial

Even when a field experiment has been designed with care, subsequent examination of the plot values may reveal additional unforeseen trends. In this paper we examine data from a barley pathology field trial and show that additive models provide a flexible representation of environmental trends, in one or two dimensions. Such models smooth out noise in the observed data, rather than fit an equation specified in advance. This approach tends to increase the precision of treatment comparisons relative to a classical analysis of variance. We recommend the use of residual plots to explore experimental data for underlying trends, and additive models to display these trends and estimate treatment effects.