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 68071-4336 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.
68071 4336 3 a86
This is a description of a medication called Atorvastatin Calcium 20mg made by Apotex Pharmaceuticals. The medication comes in a pack of 30 oval-shaped tablets and each tablet is white/off-white and engraved with "APO" on one side and "ATV20" on the other side. The medication is used for lowering cholesterol levels in the blood. The lot number is 000000 and the expiry date is 00-00. Patients are advised to call their doctor for medical advice in case of side effects and to keep the medication out of reach of children, stored at a controlled temperature of 59-86°F.*
Figure-01 - Figure 01
Figure-02 - Figure 02
The text seems to be a graph showing the cumulative hazard percentage for a drug called Atorvastatin. The hazard percentage is shown on the y-axis, whereas the x-axis displays the time to the first primary endpoint through four years of follow-up. The cumulative hazard rate starts at 0 and increases over time. The graph also shows a HR (Hazard Ratio) of 0.53, suggesting a possible lower risk of the primary endpoint in comparison to a placebo.*
Figure-03 - Figure 03
The text provides a table that appears to show the percentage of subjects that experienced E vert for two different medications. The table also provides HR (Hazard Ratio) and p-value for the two medications for time to the first major cardiovascular end point in years. There is not sufficient information to determine what E vert means, so a description cannot be provided.*
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.