Product Images Atorvastatin Calcium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 8 images provide visual information about the product associated with Atorvastatin Calcium NDC 16729-045 by Accord Healthcare 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.
This is a medication for lowering cholesterol levels in the body. Each coated tablet contains Atorvastatin Calcium USP equivalent to Atorvastatin 80 mg. The medication is stored in a cool and dry place and dispensed in tight containers. The dosage and usage information can be found on the package insert. The medication is manufactured by Accord Healthcare, Inc. in Durham, NC, and by Intas Pharmaceuticals Limited in Ahmedabad, India. The prescription drug is sold in a package of 30 tablets and should be kept in an area that is dark and vermin free. The remaining characters are unreadable.*
This appears to be a graph or chart representing data on a study of placebo and Atorvastatin (a drug used to treat high cholesterol). The x-axis indicates the time to the first primary endpoint over 4 years, and the y-axis shows the cumulative hazard percentage. The data suggests that Atorvastatin may be effective in reducing the primary endpoint compared to placebo, with a Hazard Ratio of 0.63 and a statistically significant p-value of 0.001.*
This is a clinical data report showing the percentages of subjects experiencing events of a major cardiovascular endpoint for different dosages of Atorvastatin (10mg and 80 mg) over a period of 5 years. The report highlights a significant decrease in the risk of experiencing the endpoint for those taking 80 mg of Atorvastatin compared to those taking 10mg, as evidenced by the hazard ratio (HR) of 0.78 with a p-value of 0.0002.*
* 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.