Product Images Atorvastatin Calcium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Atorvastatin Calcium NDC 70518-3037 by Remedyrepack Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

Atorvastatin Calcium is a prescription drug that should be kept out of reach of children. Its manufacturer is Ascend Labs, LLC, located in Montvale, NJ 07645, and its NDC number is 70518-3037-00. The package insert should be consulted for directions on how to use it. The drug should be stored at a temperature ranging from 20°C to 26°C (63-77°F), with excursions permitted to 15-30°C (59-86°F). It was repackaged by RemedyRepack Inc., Indiana, PA 15701, at 724.466.8762.*

atorvastatin-fig-1 - atorvastatin fig 1

atorvastatin-fig-1 - atorvastatin fig 1

The data depicts the cumulative incidence (%) of a certain illness between two groups - one being treated with Atorastatn and the other with Placsbo. The horizontal axis shows the number of years while the vertical axis shows the percentage of incidence. The graph indicates that Atorastatn significantly outperforms Placsbo with a very low p-value.*

atorvastatin-fig-2 - atorvastatin fig 2

atorvastatin-fig-2 - atorvastatin fig 2

atorvastatin-fig-3 - atorvastatin fig 3

atorvastatin-fig-3 - atorvastatin fig 3

This appears to be a statistical report on the percentage of subjects who experienced a major cardiovascular event while taking Atorvastatin at different doses, as well as the hazard ratio and p-value associated with the event. The data is presented visually through a graph showing the time to the first major cardiovascular endpoint.*

atorvastatin-st - atorvastatin st

atorvastatin-st - atorvastatin st

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.