Chemical Structure (Atorvastatin Calcium Tablets 1)
Atorvastatin Calcium
Product Images NDC 71335-0102
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Atorvastatin Calcium (NDC 71335-0102). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Bryant Ranch Prepack, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Figure 1 (Atorvastatin Calcium Tablets 2)
The text shows a graph with a cumulative incidence percentage that ranges from 0 to approximately 40% over a period of 35 years. There is a statistic represented as HR=0.64 (0.50-0.83) with a p-value of 0.0005. However, without additional context, it is difficult to determine the significance of this statistical information.*
Figure 2 (Atorvastatin Calcium Tablets 3)
Figure 3 (Atorvastatin Calcium Tablets 4)
The text provides statistical data on the experience of cardiovascular events in subjects treated with two different doses of Atorvastatin over a period of four years. The percentage of subjects experiencing the events is not available, but an HR value and P-value indicating a significant difference in event rates can be observed. The graph shows the time it took for each subject to experience the first major cardiovascular endpoint.*
Label (Lbl713350102)
This appears to be the label of a medication called "Atorvastatin" which is a cholesterol-lowering drug that is marketed under various brand names. The label includes information about the strength of the medication, the recommended storage temperature, and the manufacturer's details. The drug is available in tablet form and each bottle of the drug contains 30 tablets.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
