Parkinson’s disease (PD) is one of the most common neurodegenerative disorders. Pharmaceutical and surgical therapies for PD are available and can alleviate the symptoms and complications. Unfortunately, despite these therapies, the disease relentlessly progresses. A new study in the journal Value in Health presents a detailed overview of the current decision-analytic models used to evaluate the cost-effectiveness of therapeutic options in Parkinson’s disease.
Lead author Uwe Siebert notes “this article gives an insight into the different methodological approaches used to estimate the cost-effectiveness of treatments for a chronic progressive disorder. Cost-effectiveness is an important issue in PD as newer therapeutic options are costly.” Corresponding author Richard Dodel stresses, “Although each of these studies has its distinct value, most currently available models do not explicitly capture the large spectrum of clinically relevant symptoms that physicians must consider in daily clinical decision making.”
This study aims to provide decision analysts and clinicians interested in formal medical decision making with an insight into the structural and methodological approaches used in PD decision modeling, including their strengths and limitations. Studying the long-term effect of treatment on clinical symptoms and health-related quality of life is important in evaluating PD interventions. However, since most clinical trials are short, mathematical models must be used to link the short-term clinical outcomes from clinical trials with evidence for the long-term progression of the disease. PD is particularly complex because of the wide spectrum of PD symptoms and treatment complications, and the lifelong progression of the disease. The authors conclude that decision-analytic modeling is a useful tool in clinical decision-making and the economic evaluation of interventions in PD. It cannot replace clinical studies but rather complements them to better inform physicians and policy makers about the potential long-term effectiveness and costs of new and promising interventions.
Sharon Agsalda | alfa
Investigators may unlock mystery of how staph cells dodge the body's immune system
22.09.2017 | Cedars-Sinai Medical Center
Monitoring the heart's mitochondria to predict cardiac arrest?
21.09.2017 | Boston Children's Hospital
Plants and algae use the enzyme Rubisco to fix carbon dioxide, removing it from the atmosphere and converting it into biomass. Algae have figured out a way to increase the efficiency of carbon fixation. They gather most of their Rubisco into a ball-shaped microcompartment called the pyrenoid, which they flood with a high local concentration of carbon dioxide. A team of scientists at Princeton University, the Carnegie Institution for Science, Stanford University and the Max Plank Institute of Biochemistry have unravelled the mysteries of how the pyrenoid is assembled. These insights can help to engineer crops that remove more carbon dioxide from the atmosphere while producing more food.
A warming planet
Our brains house extremely complex neuronal circuits, whose detailed structures are still largely unknown. This is especially true for the so-called cerebral cortex of mammals, where among other things vision, thoughts or spatial orientation are being computed. Here the rules by which nerve cells are connected to each other are only partly understood. A team of scientists around Moritz Helmstaedter at the Frankfiurt Max Planck Institute for Brain Research and Helene Schmidt (Humboldt University in Berlin) have now discovered a surprisingly precise nerve cell connectivity pattern in the part of the cerebral cortex that is responsible for orienting the individual animal or human in space.
The researchers report online in Nature (Schmidt et al., 2017. Axonal synapse sorting in medial entorhinal cortex, DOI: 10.1038/nature24005) that synapses in...
Whispering gallery mode (WGM) resonators are used to make tiny micro-lasers, sensors, switches, routers and other devices. These tiny structures rely on a...
Using ultrafast flashes of laser and x-ray radiation, scientists at the Max Planck Institute of Quantum Optics (Garching, Germany) took snapshots of the briefest electron motion inside a solid material to date. The electron motion lasted only 750 billionths of the billionth of a second before it fainted, setting a new record of human capability to capture ultrafast processes inside solids!
When x-rays shine onto solid materials or large molecules, an electron is pushed away from its original place near the nucleus of the atom, leaving a hole...
For the first time, physicists have successfully imaged spiral magnetic ordering in a multiferroic material. These materials are considered highly promising candidates for future data storage media. The researchers were able to prove their findings using unique quantum sensors that were developed at Basel University and that can analyze electromagnetic fields on the nanometer scale. The results – obtained by scientists from the University of Basel’s Department of Physics, the Swiss Nanoscience Institute, the University of Montpellier and several laboratories from University Paris-Saclay – were recently published in the journal Nature.
Multiferroics are materials that simultaneously react to electric and magnetic fields. These two properties are rarely found together, and their combined...
19.09.2017 | Event News
12.09.2017 | Event News
06.09.2017 | Event News
22.09.2017 | Life Sciences
22.09.2017 | Medical Engineering
22.09.2017 | Physics and Astronomy