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 68788-8613 by Preferred 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.
Figure-01 - Figure 01
This information illustrates the cumulative incidence (%) of cardiovascular events under the medication Atorvastatin compared to a placebo over a period of 3.5 years. The data shows a significant reduction in cardiovascular events with Atorvastatin, as indicated by a hazard ratio (HR) of 0.64 and a p-value of 0.0005.*
Figure-02 - Figure 02
This text appears to contain information related to the Cumulative Hazard (%) for placebo and Atorvastatin over a period of four years. The Hazard Ratio (HR) is reported as 0.63 with a confidence interval of 0.48-0.83 and a p-value of 0.001. The data specifies the time to the first primary endpoint through four years of follow-up.*
Figure-03 - Figure 03
This text provides a comparison of the percentage of subjects experiencing an event with two different doses of statins - Atorvastatin 10 mg and Atorvastatin 80 mg. The hazard ratio (HR) is 0.78 with a confidence interval of 0.69-0.89 and a p-value of 0.0002. The data also relates to the time to the first major cardiovascular endpoint in years.*
Atorvastatin Calcium Tablets 20mg - atorvastatin 20mg 90tab
This text contains information about Atorvastatin Calcium Tablets 20mg, a generic for Lipitor. The tablets are oval and yellow, each containing 20mg of atorvastatin calcium. The manufacturer is ScieGen Pharmaceuticals, Inc. The tablets are film-coated and should be stored at temperature between 20°C - 25°C (68°F - 77°F). The prescription is for use by the patient only. The tablets are imprinted with SG / 153.*
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.
