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  5. Product Images: Carvedilol

Product Images Carvedilol

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Carvedilol NDC 71335-0273 by Bryant Ranch Prepack, 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. Survival Analysis for COPERNICUS (Intent-to-Treat) - carvedilol fig1

Figure 1. Survival Analysis for COPERNICUS (Intent-to-Treat) - carvedilol fig1

Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol fig2

Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol fig2

This is a figure from COPERNICUS that shows the effects on mortality for different subgroups. The subgroups are divided based on gender, age, race, diabetes status, ischemic status, heart failure status, heart rate, blood pressure, and whether or not they received spironolactone treatment. The hazard ratio is shown on the y-axis and ranges from 0 to 20. No further information can be extracted from this text.*

Figure 3. Survival Analysis for CAPRICORN (Intent-to-Treat) - carvedilol fig3

Figure 3. Survival Analysis for CAPRICORN (Intent-to-Treat) - carvedilol fig3

Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol fig4

Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol fig4

Chemical Structure - carvedilol str

Chemical Structure - carvedilol str

Label - lbl713350273

Label - lbl713350273

This appears to be a medication label for a prescription of Carvedilol 25mg tablets. The label provides instructions in regards to proper storage, including keeping the medication at room temperature and out of reach of children. It also includes information on its manufacturer, Buyant Ranch Prcpach Bunbank, and an identification number, NDC 7133502731 040701001523487.*

* 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.