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 71335-1937 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 - 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 figure labeled as "Figure 3" that displays survival analysis for CAPRICORN. The x-axis goes from 0 to 24, and there are 30 subjects in the placebo group and 104 subjects in the carvedilol group. The figure appears to show that treatment with carvedilol has a statistically significant effect on mortality (P=0.03).*

figure-4 - figure 4

figure-4 - figure 4

This is a chart labeled "Figure 4" that shows different subgroups and their effects on mortality in CAPRICORN. The subgroups include age (<70 and =70), current/prior congestive heart failure (CHF), gender, use of diuretics during myocardial infarction, randomized day post-MI (1-3, 4-7, or >7), hypertension, prior use of intravenous or oral beta-blockers, diabetes, Killip level, heart rate (<70 or >70), thrombolytic use, systolic blood pressure (SBP) (>120mm Hg or <120mm Hg), and percutaneous transluminal coronary angioplasty (PTCA) use. The hazard ratio is also shown for each subgroup.*

Label - lbl713351937

Label - lbl713351937

This seems to be a label of a medicine called Carvedilol with a strength of 6.25 mg in a pack of 30 tablets. It is manufactured by Glenmark Pharmaceuticals Ltd. and should be stored in a light-resistant container at a room temperature of 20°-25°C (68°-77°F). The text mentions the NDC number which is 7133519371 and the expiry date could be found after MM/YY.*

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.