Product Images Rosuvastatin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Rosuvastatin NDC 50090-7793 by A-s Medication Solutions, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Figure-01 - figure 1

Figure-01 - figure 1

This text provides data related to a research study or clinical trial, comparing the effectiveness of an intervention labeled as "RSV" against a placebo. The outcomes are presented in terms of the number of participants at risk and the number of years. The study involved a sample of 8901 individuals for the RSV group and the same number for the placebo group. The text also includes confidence interval data for the intervention group. The results suggest a statistically significant difference between the two groups with p<0.001, indicating a potential benefit associated with the intervention compared to the placebo.*

Figure-02 - figure 2

Figure-02 - figure 2

This text provides data from a study comparing the efficacy of Rosuva 20 mg with Placebo 20 mg in a group of 8901 individuals. The results show the hazard ratios (HR) and confidence intervals for various endpoints such as the primary endpoint (MCE), cardiovascular death, nonfatal stroke, nonfatal MI, and unstable angina. The study also includes information on hospitalizations, arterial revascularization, and definitions related to cardiovascular death. The results indicate statistically significant differences between the two treatment groups for most of the endpoints evaluated.*

Figure-02 - figure 3

Figure-02 - figure 3

Label Image - lbl500907793

Label Image - lbl500907793

structural formula - rosuvastatin str

structural formula - rosuvastatin str

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.