Atorvastatin Calcium Tablet, Film Coated
Product Images NDC 72789-084

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Atorvastatin Calcium (NDC 72789-084). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Pd-rx Pharmaceuticals, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

72789084 Label (72789084)

This is a medication containing 30 tablets of 20 mg Atorvastatin Calcium USP. It is important to keep this medication out of children's reach. The dosage and storage details are also provided along with organoleptic markings. This medication can cause side effects and should only be taken as prescribed. The lot number and expiry date are also provided on the packaging.*

FDA Label Image

Figure-01 (Atorvastatin Figure 01)

FDA Label Image

Figure-02 (Atorvastatin Figure 02)

The given text seems to be a part of a research report or a clinical trial study. It includes tables showing cumulative hazard percentages and time to first primary endpoint through four years of follow-up. It also specifies hazard ratio (HR) and p-value for the study. No additional context is available.*

FDA Label Image

Figure-03 (Atorvastatin Figure 03)

This appears to be a chart or graph showing the percentage of subjects who experienced an event over time, possibly related to a study involving two different doses of atorvastatin (10 mg and 80 mg). The chart shows that the higher dose of atorvastatin may have a lower risk of a major cardiovascular endpoint, as represented by a hazard ratio of 0.78 (with a p-value of 0.0002). The available text does not provide more specific details or context.*

FDA Label Image

Structure (Atorvastatin Structure)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.