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 68071-4797 by Nucare Pharmaceuticals,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.

PDP - 68071 4797 9

PDP - 68071 4797 9

This is a label of a bottle of Atorvastatin Calcium 10mg tablets manufactured by NuCare Pharmaceuticals with a Lot number of 000000 and an expiration date of 00-00. It advises to call a doctor for medical advice about side effects and to report any side effects to FDA. It also warns to keep it out of reach of children and store it at a controlled temperature between 68-77°F.*

Figure-01 - Figure 01

Figure-01 - Figure 01

Figure-02 - Figure 02

Figure-02 - Figure 02

This appears to be a table or graph displaying the cumulative hazard percentage for a medication called Atorvastatin, along with a hazard ratio compared to a placebo. The time frame for analysis seems to be up to four years of follow-up, but without additional context it is difficult to provide a more specific description or interpretation of the data.*

Figure-03 - Figure 03

Figure-03 - Figure 03

This appears to be a table or graph related to the occurrence of a side effect called "E vert" in subjects taking either Horvastatin 10 mg or Sorvastatin 80 mg, along with their corresponding Heart Rate results. The graph presents the probability of developing major cardiovascular endpoints over time, with a noticeable and significant difference in the results of the two drugs, as highlighted by the P-value. However, without further context or information, it is difficult to give a more specific description.*

chemical-structure - chemical structure

chemical-structure - chemical structure

* 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.