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 63187-941 by Proficient Rx 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. 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 chart showing the effects of Spironolactone on mortality for different subgroups in COPERNICUS study categorized by gender, age, race, diabetic status, ischemic status, heart rate, blood pressure, and Spironolactone use. The hazard ratio is also shown.*

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

63187-941-60 - carvedilol fig5

63187-941-60 - carvedilol fig5

This is a description of Carvedilol 3.125mg tablets manufactured by Aurobindo Pharma Limited. The tablets are oval shaped and white/off-white color coated. Each tablet contains 3.125mg of Carvedilol USP. The product is packaged by Proficient Rx LP and comes in a bottle of 60 tablets. The lot number is 00000 and the expiration date is not provided. The medication is prescription-only, and should be stored at 20°C-25°C (68°F-77°F) and kept out of reach of children. The product ID is PC094160 and the SN# is MASTER. The GTIN is 0363187941604.*

Chemical Structure - carvedilol str

Chemical Structure - carvedilol 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.