Popular Articles

Mouse Model Improves Understanding Of Tumor Growth
Cancerous tumors sometimes form at the site of chronic wounds or injury, but the reason why is not entirely clear. Now researchers at Washington University School of Medicine in St. Louis have engineered mice with a persistent wound-like skin condition, and the mice are helping them understand the tumor-promoting effects of long-standing wounds and injuries.

The Dangers Of Stimulant Chewing Gum
A case report written by Dr Francesco Natale and his colleagues, from the Second University of Naples and Monaldi Hospital, Naples, Italy, reports on the dangers of stimulant chewing gums containing caffeine. The report published in this week÷´s edition of The Lancet describes the story of a teenage boy hospitalized after excessive consumption of this type of product. The authors warn about the high risks of stimulant chewing gums that are widely available to children.
News of the day
Abraxis Bioscience Launches ABRAXANE(R) In China For Women With Metastatic Breast Cancer
Abraxis Bioscience, Inc. (NASDAQ:ABII), a fully integrated, global biotechnology company, has now made ABRAXANE for Injectable Suspension (paclitaxel protein-bound particles for injectable suspension) (albumin-bound) (nab-paclitaxel) available in China for the treatment of patients with metastatic breast cancer. In a global Phase III clinical trial, and in a Phase II clinical trial in China, the tumor response rate for patients who received ABRAXANE for the treatment of metastatic breast cancer was nearly double the response rate compared to patients who received solvent-based paclitaxel.i
Endocrinology

Need For Accurate Estimates Of The Severity Of The New H1N1 Virus

A paper published on bmj.com reports that there is a need for precise estimates of the severity of the new H1N1 virus. Experts need to assess in particular how many deaths might arise over the course of the pandemic. This will be the focus of healthcare planning over the upcoming months. Those forecasts will be helpful in deciding whether to put into practice social distancing measures, such as school closures. Initially, information suggests that this new Influenza A (H1N1) virus is relatively mild. The case fatality ratios which are the total number of deaths due to the disease divided by the total number of cases are around 0.5 percent. This is comparable to the upper range of that seen for seasonal influenza, and it shows relatively low hospitalization rates. On the other hand, severity appears to fluctuate considerably among countries. Fatal cases have been much younger than for seasonal influenza. Researchers at the Imperial College London studied the complexity of assessing the severity of the new virus. They indicate that in most infectious diseases there is a risk of predisposition that leads towards diagnosis of more severe and hospitalized cases. This results in overestimation of the case fatality ratio. However, some deaths caused by flu might not be recognized as such. Flu infections can momentarily amplify the risk of vascular death, such as heart attacks and strokes. As a result, there can be an underestimation of the case fatality ratio. The time delay between disease onset and death is another main cause of bias. The authors explain this can lead to an underestimate of the case fatality ratio, especially in the early phase of an epidemic. The authors mention: "In order to get a clear picture of the severity of the H1N1 virus, it is vital to take these and other factors into account." They recommend study designs and statistical analysis methods to develop our capability in obtaining reliable case fatality ratios. They say in closing that this is crucial and that they will guarantee that any changes in the virulence of the virus are rapidly detected so that mitigation policies are applied correctly. Dr Tini Garske, lead author of the study from the Medical Research Council (MRC) Centre for Outbreak Analysis & Modelling at Imperial College London, wrote: "Accurately predicting the severity of this swine flu pandemic is a very tricky business, and our research shows that this can only be achieved if data is collected according to well designed study protocols and analyzed in a more sophisticated way than is frequently being performed at present." "If we fail to get an accurate prediction of severity, we will not be providing healthcare planners, doctors and nurses, with the information that they need to ensure they are best prepared to fight the pandemic as we head into the flu season this autumn." "Assessing the severity of the novel influenza A (H1N1) pandemic" Tini Garske, Judith Legrand, Christl A Donnelly, Helen Ward, Simon Gauchemez, Cristophe Fraser, Neil M Ferguson, Azra C Ghani DOI 10.1136/bmj.b2840 bmj.com Written by Stephanie Brunner (B.A.) Copyright: Medical News Today Not to be reproduced without permission of Medical News Today


Add your comment:
Name:
Site address: http://
Your message:
Enter today\\\\'s date, 2 digits
(spam protection):