Atorvastatin Calcium Tablet
Product Images NDC 71335-2697

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 71335-2697). 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.

FDA Label Image

Image Description (Atorvastat Cal Usp Fig 1)

FDA Label Image

Image Description (Atorvastat Cal Usp Fig 2)

Image Description (Atorvastat Cal Usp Fig 2)
This text provides statistical information on the cumulative hazard percentage and hazard ratio with a confidence interval and p-value. It also refers to the time to the first primary endpoint over a four-year follow-up period. This data seems to be related to a study or analysis involving multiple time points and outcomes.*
FDA Label Image

Image Description (Atorvastat Cal Usp Fig 3)

Image Description (Atorvastat Cal Usp Fig 3)
This text provides information about the use of Atorvastatin in 10 mg and 80 mg doses. It includes data on the percentage of subjects experiencing events, as well as the hazard ratio and p-value for the observed outcomes. Additionally, it mentions the time to the first major cardiovascular endpoint in years.*
FDA Label Image

Image Description (Atorvastat Cal Usp Structure)

FDA Label Image

Label (Lbl713352697)

Label (Lbl713352697)
This text provides information about Atorvastatin Calcium tablets, each containing 40 mg of Atorvastatin. It includes details about dosage, storage instructions, NDC number, and the company responsible for repackaging and manufacturing. The text also suggests scanning a QR code for full prescribing information.*

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