Product Images Carvedilol
View Photos of Packaging, Labels & Appearance
- Figure 1. Survival Analysis for COPERNICUS (intent-to-treat) - carvedilol tab usp figure1
- Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol tab usp figure2
- Figure 3. Survival Analysis for CAPRICORN (intent-to-treat) - carvedilol tab usp figure3
- Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol tab usp figure4
- carvedilol chemical structure - carvedilol tab usp structure
- Label - lbl713352023
Product Label Images
The following 6 images provide visual information about the product associated with Carvedilol NDC 71335-2023 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 tab usp figure1
Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol tab usp figure2
This text appears to be a table with different categories such as gender, age, medical condition, and medication. It also seems to mention hazard ratio. Without knowing the context or purpose of the table, it is difficult to provide a more detailed description.*
Figure 3. Survival Analysis for CAPRICORN (intent-to-treat) - carvedilol tab usp figure3
Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol tab usp figure4
carvedilol chemical structure - carvedilol tab usp structure
Label - lbl713352023
This appears to be the packaging details of a medication named "Coreg 25mg Tablet". It comes in an oval shape, white to off-white color, and numbers "6" and "59" are imprinted on it. It should be stored at room temperature between 20-25°C (68°-77°F) and must be kept away from children. The manufacturer mentioned in the text is Rubicon Research Private Limited. The rest of the text is unreadable due to errors.*
* 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.
