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  5. Product Images: Losartan Potassium

Product Images Losartan Potassium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Losartan Potassium NDC 53002-2638 by Rpk 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.

Label Image - lbl530022638

Label Image - lbl530022638

losartan fig1

losartan fig1

This text seems to be a chart or a graph related to a study involving the medications Atenolol and Losartan Potassium. The graph displays a line plot for a period of 66 months with different time intervals on the x-axis. The y-axis has text that says, "Adjusted Risk Reduction: 13%, p=" which suggests that the plot is representing the effect of the medications on reducing risk. However, the plot or graph is incomplete, and it is not possible to infer any accurate conclusion from this text.*

losartan fig2

losartan fig2

Figure 3 - losartan fig3

Figure 3 - losartan fig3

The text appears to be a table showing the primary endpoint events within demographic subgroups. It includes the overall result and subgroups based on age, gender, race, and other factors. However, some of the text is not legible due to errors.*

Figure-4 - losartan fig4

Figure-4 - losartan fig4

This appears to be a summary of a clinical trial comparing a drug called Losttan Potassium to a placebo. The table shows the percentage of patients who experienced an event (not specified) with Losttan Potassium and the placebo, as well as the risk reduction and p-value for the drug. Since there is no additional information, it is not possible to provide a more detailed description or analysis.*

Chemical Structure - losartan str

Chemical Structure - losartan str

* 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.