Product Images Anastrozole
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Product Label Images
The following 10 images provide visual information about the product associated with Anastrozole NDC 69117-0003 by Yiling Pharmaceutical, 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.
Each tablet contains 1mg Anastrozole. This medication's usual dosage and prescribing information should be consulted before use. It is important to keep this medication out of reach of children and store it at a controlled room temperature of 20°C to 25°C (68°F to 77°F). The manufacturer is Beijng Yiling Bio-engineering Technology Co. Ltd., located at No.23 Keji Road, Industril Park, Miyun, Beijng, China, 101500. The distributor is Yiing Pharmaceutica, Inc., located at 5348 Vegas Drive, Las Vegas, NV 89108, USA. The NDC code for this medication is 69117-0003-4.*
This text shows the results of a randomized treatment study involving anastrozole and tamoxifen drugs. The proportion of patients who were alive and disease-free was measured over a period of 90 months. The number of patients at risk for both drugs was also recorded for each month.*
This is a graph showing the proportion of patients who were alive and disease-free after randomized treatment with either anastrozole or tamoxifen. The x-axis represents the time in months and the y-axis represents the proportion of patients. The graph shows disease-free survival for each treatment over 90 months, with the number of patients at risk listed for each time point.*
This appears to be a truncated Kaplan-Meier survival curve for two treatments, Anastozole and Tavoxifen, for a medical condition. The graph shows the proportion of patients who have not experienced an event (such as death or complications) over a period of months. The text provides the number of patients at risk for each month of the study. The vertical axis has been truncated for clarity.*
* 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.