Guidelines on how to perform SA have been published for many years in response to requests for greater standardization among researchers. Decision makers tasked

with reviewing new health technologies also seem to appreciate the additional information conveyed by a robust SA, including the attention to important patient subgroups. Yet, past reviews have shown that there is a substantial gap between the guidelines’ suggestions and the quality of SA in the field. Past reviews have also focused on one or two but not all three sources of uncertainty. The objective of our work is to comprehensively review all different sources of uncertainty and provide a concise set of criteria for conducting and presenting SA, stratified by common modelling approaches, including decision analysis and regression models.

We first provide an overview of the three sources of uncertainty in a CEA find more (parameter, structural and methodological), including www.selleckchem.com/products/go-6983.html patient heterogeneity. We then present results from a literature review of the conduct and reporting of SA based on 406 CEA articles published between

2000 and mid-2009. We find that a minority of papers addressed at least two of the three sources of uncertainty, with no change over time. On the other hand, the use of some sophisticated techniques, such as probabilistic SA, has surged over the past 10 years. Lastly, we identify criteria for reporting uncertainty-robust SA and also discuss how to conduct SA and how to improve the reporting of SA for decision makers. We recommend that researchers take a more comprehensive view of uncertainty when planning SA for an economic evaluation.”
“The purpose of this research was to investigate why and how mechanical milling results in an unexpected shift in differential scanning calorimetry (DSC) measured fusion enthalpy (Delta(fus)H) and melting point (T(m)) of adipic acid, a pharmaceutical Selleck VX770 excipient. Hyper differential scanning calorimetry

(hyper-DSC) was used to characterize adipic acid before and after ball-milling. An experimental study was conducted to evaluate previous postulations such as electrostatic charging using the Faraday cage method, crystallinity loss using powder X-ray diffraction (PXRD), thermal annealing using DSC, impurities removal using thermal gravimetric analysis (TGA) and Karl Fischer titration. DSC thermo-grams showed that after milling, the values of Delta(fus)H and T(m) were increased by approximately 9% and 5 K, respectively. Previous suggestions of increased electrostatic attraction, change in particle size distribution, and thermal annealing during measurements did not explain the differences. Instead, theoretical analysis and experimental findings suggested that the residual solvent (water) plays a key role.