Chemical Structure (Exemestane 01)
Exemestane Tablet, Film Coated
Product Images NDC 63629-2056
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Exemestane (NDC 63629-2056). 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.
Product Images & Figures Index
Figure 1 (Exemestane 02)
This is a statistical report of the "Proportion Surviving" for two treatments, Exemestane and Tamoxifen, in patients with a "Duration of Disease-free Survival" measured in months. The report includes the number of patients randomized for each treatment, the number of events (number of patients who died or experienced the event of interest), and the Hazard Ratio (HR) and p-value (log-rank) with their respective 26% confidence intervals. The HR and p-value suggest that the Exemestane treatment had a significantly better Disease-free Survival than Tamoxifen. The last row of the table seems to contain an error as it has zero patients and events for two treatments.*
Figure 2 (Exemestane 03)
Label (Lbl636292056)
Exemestane is a pharmaceutical drug that is available in tablet form and used for treating breast cancer in post-menopausal women. Each tablet contains 25 milligrams of exemestane. It is important to store the medication at a controlled room temperature between 20° to 25°C and out of the reach of children. NDC number is 63629-2056-1. It should be dispensed in a tightly sealed container with a child-resistant closure as defined in the USP. This drug is only available on prescription (Rx only) issued by a medical practitioner.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
