Product Images Atorvastatin Calcium

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Product Label Images

The following 5 images provide visual information about the product associated with Atorvastatin Calcium NDC 43063-474 by Pd-rx 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.

43063474 Label - 43063474

43063474 Label - 43063474

This is a description of a medication identified as Atorvastatin Calcium USP. The medicine is sold as tablets containing 10mg of Atorvastatin. The package contains 30 tablets and the item is maintained by Pharmaceuticals incorporated. The item's NDC number is 43063-474-30 and the reorder number is 104492. The medication's expiration date is 03/2021, and the indicated lot number is C20A23. Users are urged to contact a medical professional for advice concerning any side effects that may arise from using the medication, and the FDA can also investigate possible side effects by contacting their hotline at 1-800-FDA-1088.*

Figure-01 - Figure 01

Figure-01 - Figure 01

Figure-02 - Figure 02

Figure-02 - Figure 02

The text describes a graph of the Cumulative Hazard (%) for Atorvastatin. The hazard is shown in percentages at 10 and 15 percent. A Hazard Ratio of 0.53 with a confidence interval between 0.45 to 0.83 is also displayed for Atorvastatin. The graph shows the time to the first primary endpoint through four years of followup from year one to year five.*

Figure-03 - Figure 03

Figure-03 - Figure 03

The text provides statistical data on the percentage of subjects experiencing Evert in response to Horvastatin and Sorvastatin treatment. The HR (Hazard Ratio) for Horvastatin and Sorvastatin is also given, along with the confidence interval and P-value. The graph represents the time taken for the first major cardiovascular endpoint in years.*

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.