Product Images Anastrozole
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Anastrozole NDC 54868-6130 by Physicians Total Care, 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.
image of chemical structure - chemical structure
image of figure 1 - figure 1
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The figure shows the comparison of disease-free survival between patients who were randomly assigned to receive Anastrozole tablets or Tamoxifen monotherapy in the ATAC Trial. The data displays the proportion of patients that were alive and disease-free over time and the number of patients at risk for each treatment option.*
image of figure 3 - figure 3
The figure shows the Kaplan-Meier probability of progression for all patients in Trial 0030 who were randomized for treatment with anastrozole and tamoxifen. The x-axis represents the time to progression in months, while the y-axis represents the probability of progression. The data is presented for 42 months, with the numbers at the top of the figure indicating the months being represented. At each time point, the number of patients at risk for progression is also provided.*
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This is a graph showing the Kaplan-Meier probability of time to progression in months for randomized patients in Trial 0027 who were treated with Wastrozole. The graph shows the percentage of patients who progressed over time. The x-axis shows the number of months, and the y-axis shows the percentage of patients who progressed.*
image of package label - package label
This appears to be a label of a pharmaceutical product. The product is Anastrozole, with a lot number of 600 and an expiration date of 01760. It is distributed by Physicians Total Care with the NDC code 54868-6130-0. The rest of the text is not readable and may be due to scanning or errors.*
* 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.