Product Images Qtern

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Qtern NDC 0310-6780 by Astrazeneca Pharmaceuticals Lp, 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.

Figure 1 - Figure1Qtern

Figure 1 - Figure1Qtern

This appears to be a graph displaying the amount of glucose in a 24-hour urine sample in correlation with the dose of Dapagliflozin (a medication used to treat type 2 diabetes). The graph shows observed values for healthy subjects and subjects with T20M, with fitted lines for each group. The text also includes a unique identifier "dozzss33388".*

5mg5mg - NDC0310 6770 30

5mg5mg - NDC0310 6770 30

This is a prescription medication called dapagliflozin and saxagfiptin, which is used to treat diabetes. It comes in a box containing 30 tablets with the code DG 0310-6770-30. There is also a warning to dispense it with the enclosed medication guide. The text also mentions a trademark of AstraZeneca, and that the product is copyrighted in 2020 by the same company.*

dapagliflozin chemical structure - dapagliflozin chemical structure

dapagliflozin chemical structure - dapagliflozin chemical structure

5mg5mg - image 02

5mg5mg - image 02

This is a description of a medication. The medication is called QTERN and contains a combination of dapagliflozin and saxagliptin. The package contains 30 tablets and the NDC number is 0310-6780-30. It is to be dispensed with an enclosed medication guide and is only available with a prescription from AsraZeneca Pharmaceuticals LP in Wilmington, DE. QTERN is a trademark of the Astrazeneca group of companies.*

Saxagliptin checmical structure - saxagliptin chemical structure

Saxagliptin checmical structure - saxagliptin chemical structure

* 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.