Product Images Zonisamide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Zonisamide NDC 53217-301 by Aidarex Pharmaceuticals Llc, 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.
image - zonisamide usp 1
The text describes a table showing the median percentage reduction and percentage responders in all partial seizures for three studies. The studies compare the effectiveness of a drug called ZONEGRAN to a placebo. There are different numbers of participants in each study, and the reduction and responder percentages vary between studies and between ZONEGRAN and the placebo. The text indicates that there is a statistically significant difference between ZONEGRAN and the placebo in at least one of the studies.*
image - zonisamide usp 2
This is a table presenting the median percentage reduction in all partial seizures and percentage of responders for dose analyses in Study 1 using Zonisamide and Placebo. The study was an intent-to-treat analysis. The table shows median % reduction in partial seizures and % responders for three groups divided by doses administered (0-400 mg/day, 100 mg/day, and 200 mg/day) at different weeks. There are statistically significant differences compared to the placebo, and some of the differences are clinical.*
IMAGE - zonisamide usp 3
image - zonisamide usp 4
Image Description - zonisamide usp 5
This appears to be a description of a medication called Zonisamide, USP, in 100mg capsules. It mentions a few different lots and package quantities, as well as information on the manufacturer Invagen Pharmaceuticals, based in Hauppauge, NY. However, without further context or information on the intended use or effects of the medication, it is difficult to provide more precise details.*
* 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.