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 68071-2542 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.
QN Care Pharmaceuticals, Inc. provides Atorvastatin Calcium 40mg in a bottle of 90 tablets. The product has a lot number of 00000 and an expiration date of 00-00, and the manufacturer's National Drug Code (NDC) is 16714-876-01. The tablets should be stored at a temperature between 68-77°F, and the consumer is encouraged to call a doctor in case of any side effects. The FDA can be contacted at 1-800-FDA-1088 to report potential side effects.*
The text is displaying a chart of Cumulative incidence in percentages for two variables "Atorvastatin" and "Placebo" over 35 years. A numerical value is also present on top, "84050089", but it is not clear what it refers to.*
The text describes a graph or a chart that shows the cumulative hazard as a percentage. It also displays some statistical information such as the value of HR, the range of HR, the p-value, and a time scale labeled with numbers ranging from 2 to 5. The time scale indicates that the data was collected through four years of follow-up.*
This appears to be a chart or graph showing the percentage of subjects experiencing a cardiovascular event over time. The x-axis represents the years since the start of the study, and the y-axis shows the percentage of subjects affected. The numbers "02" and "01" may indicate different groups or subpopulations within the study. The key result is shown below the graph, with HR (hazard ratio) and P-value indicating a significant difference between the groups. Without more context or information, it is difficult to provide a more detailed interpretation.*
* 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.