Product Images Carvedilol

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Product Label Images

The following 6 images provide visual information about the product associated with Carvedilol NDC 68071-4816 by Nucare 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.

PDP - 68071 4816 8

PDP - 68071 4816 8

This is a medication label for Carvedilol 6.25mg manufactured by NuCare Pharmaceuticals, Inc. The label contains information such as the lot number, NDC code, size of the bottle (180 tablets) and dosage instructions. It also includes a warning about possible side effects and instructions to store the medication at a controlled temperature and out of reach of children. The expiration date is not available.*

figure-1 - figure 1

figure-1 - figure 1

figure-2 - figure 2

figure-2 - figure 2

figure-3 - figure 3

figure-3 - figure 3

The text describes a survival analysis plot for the CAPRICORN clinical trial, where the intent-to-treat group was treated either with placebo or carvedilol. The plot shows the percentage of mortality on the vertical axis and time in months on the horizontal axis. The survival curve for carvedilol-treated patients was analysed, and it was found that patients treated with carvedilol had a significantly lower mortality rate than placebo-treated patients (P=0.03) after 30 months.*

figure-4 - figure 4

figure-4 - figure 4

The text contains a table consisting of subgroups in the CAPRICORN study and their corresponding effects on mortality. The subgroups are defined by age, gender, use of diuretics, angina, hypertension, diabetes, Killip class, heart rate, thrombolytic use, and PTCA use. The table presents hazard ratios for mortality among those subgroups.*

carvedilol-chemical-structure - structure

carvedilol-chemical-structure - 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.