Although it would not be appropriate to use neighbourhood SES solely to distinguish which CAD patients should be screened for other chronic diseases, we demonstrate that neighbourhood SES indices improved risk prediction for chronic disease mortality in these patients.
A series of case studies designed to further acceptance of read-across predictions, especially for chronic health-related endpoints, have been evaluated with regard to the knowledge and insight they provide.
We designed a cohort study to construct prediction models for chronic kidney disease in the Chinese population.
Similarity in chemistry is often not enough to justify fully a read-across prediction, thus, for chronic health endpoints, toxicokinetic and/or toxicodynamic similarity is essential.
Bang H, Vupputuri S, Shoham DA, et al. SCreening for Occult REnal Disease (SCORED): a simple prediction model for chronic kidney disease.
However, caution needs to be paid to the reliability of this animal model to provide an accurate prediction of efficacy for chronic TMP, otherwise the success of future transition to human clinical trials may be doubtful and even potentially risky.
We recorded low rates for physicians' predictions of functional status following ICU stay (20%), anticipated quality of life post hospital stay (0%) and prediction of need for chronic care following discharge from ICU (3%).
Gene expression studies carried out over short-term exposures have allowed for the prediction of chronic stressor effects, such as reduced fecundity and embryonic arrest, somatic growth, and population dynamics [ 16, 18, 21, 23].
If this is the case, then there is an urgent need to look for novel biomarkers that may improve prediction of future risk for chronic non-communicable diseases and allow understanding of the underlying mechanisms that result in co-regulation of various biomarkers.
