Product Images Azacitidine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Azacitidine NDC 43598-465 by Dr. Reddy's Laboratories 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.

carton - Carton

carton - Carton

This is a product label for Azacitidine, a lyophilized powder for injection. Each vial contains 100mg of the drug and is meant for a single use only. The recommended dosage should be prescribed by a healthcare professional and administered via injection. The label includes instructions on storage and contact information for the manufacturer.*

vial - Vial

vial - Vial

graph - graph

graph - graph

This is the result of a statistical analysis comparing two treatments (AZA and CCR) in terms of their effect on patient survival. The Log-Rank statistical test was used, and the result is highly significant (p=00001) indicating that the survival curves for both treatments are different. The Hazard Ratio (HR) is also reported, which measures the relative risk of death between groups. The HR is 0.58 indicating that patients in the AZA group had a lower risk of death compared to the CCR group. The confidence interval (95% C1) for the HR is [0.43-0.77), which means the true value of the HR is likely to fall within this range with 95% certainty. The number of deaths observed in each group is also reported (Aza = 82, CCR = 113). Finally, the survival curves for both treatments are shown graphically, with the proportion of patients surviving over time (in months) plotted on the y-axis and time (in months) since randomization plotted on the x-axis. The number of patients "at risk" at each time point is also shown for each treatment group.*

structure - structure

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.