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 43063-487 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.
This is a description of a medicine bottle containing 90 tablets of Atorvastatin Calcium, 80mg, with a reorder number 104517, Lot number Sample, and Expiration Date D1/50. It is advised to call a doctor for medical advice about side effects which can be reported to FDA. Tablets need to be taken multiple times a day, equivalent to 80mg Atorvastatin. The tablet is white in color, round in shape, and the bottle is from Pharmaceuticals incorporated, Oklahoma City. The other text seems to be non-sensical or garbled, so it is not usable.*
This text seems to display a graph or chart showing the cumulative incidence in percentages with various time intervals (404, 30, and 15) and a horizontal HR (Hazard Ratio) of 0.64 with an accompanying confidence interval (0.50-0.83) and p-value of 0.0005. The years are listed at the bottom for reference.*
The table shows the cumulative hazard percentage at different time periods and the hazard ratio for a primary endpoint through four years of follow-up. The hazard ratio is statistically significant (p=0.001).*
The given text is a table showing the percentage of subjects experiencing an event after taking Atorvastatin in different doses. The data for the event experienced after the intake of Atorvastatin 10 mg is not available, whereas Atorvastatin 80 mg has no percentage value assigned to it. The text also presents HR (Hazard Ratio), which is 0.78 with a confidence interval of 0.69 to 0.89 at a P-value of 0.0002. Additionally, the table displays a graph presenting the Time to First Major Cardiovascular Endpoint (in years) regarding the subject's data.*
* 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.