Atorvastatin Calcium Tablet
Product Images NDC 68071-2967

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Atorvastatin Calcium (NDC 68071-2967). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nucare 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

Pdp (68071 2967 9)

NuCare Pharmaceuticals produces Atorvastatin Calcium 20mg tablets labeled with NDC 68071-2967-9. The tablets are white to off-white, oval-shaped, have "ATO" engraved on one side, and "20" on the other. Each bottle of tablets has 90 pieces, and the lot number is 00006. The tablets are USP equivalent Atorvastatin Calcium 20mg for managing high cholesterol levels. However, a patient should seek medical attention immediately in case of side effects. To report side effects, the patient can contact the FDA by dialing 1-800-FDA-1088. The warning indicates the medication should be stored at 68-77°F and kept out of reach of children.*

FDA Label Image

Image Description (Atorvastat Cal Usp Fig 1)

FDA Label Image

Image Description (Atorvastat Cal Usp Fig 2)

FDA Label Image

Image Description (Atorvastat Cal Usp Fig 3)

This is a statistical report on the effects of Atorvastatin, a cholesterol-lowering medication, on major cardiovascular events. The data presents the percentage of subjects who experienced the event and the hazard ratio (HR) with its confidence interval. The study evaluated two different doses of Atorvastatin: 10 mg and 80 mg. The report also includes a graph that illustrates the time it took for patients to experience their first major cardiovascular event over five years.*

FDA Label Image

Image Description (Atorvastat Cal Usp Structure)

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