Product Images Atorvastatin Calcium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Atorvastatin Calcium NDC 53002-1439 by Rpk Pharmaceuticals, Inc., 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.
Chemical Structure - atorvastatin calcium tablets 1
Figure 1 - atorvastatin calcium tablets 2
The available text appears to show a graph with the Cumulative incidence expressed as a percentage, accompanied by a Hazard Ratio of 0.64 with a confidence interval of 0.50-0.83 and a p-value of 0.0005. The graph appears to span 404 years with the incidence at 30% at 20 years, 15% at 25 years, and an unknown percentage at 35 years.*
Figure 2 - atorvastatin calcium tablets 3
The text represents a graph or a chart with the title "Time to First Primary Endpoint Through Four (4) Years of Follow-up (Years)" and two lines plotted as a Cumulative Hazard %. At different time intervals, the first line shows 157%, the second line is at 107%. Below the graph, there is a statistical result that shows HR 0.63 with 95% CI between 0.48 to 0.83 along with the p-value of 0.001.*
Figure 3 - atorvastatin calcium tablets 4
The text is presenting results of a study that evaluated subjects under treatment with different doses of Atorvastatin. The percentage of subjects experiencing events is not available in this excerpt. The study found that Atorvastatin 80mg had a beneficial effect when compared to Atorvastatin 10mg regarding major cardiovascular endpoints, showing a hazard ratio of 0.78 (with a confidence interval of 0.69-0.89) and P value of 0.0002. The graph shows the time to the first major cardiovascular endpoint in years.*
Label Image - lbl530021335
Label Image - lbl530021439
Label Image - lbl530021440
* 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.