Product Images Topiramate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Topiramate NDC 55700-691 by Quality Care Products, 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 description - New Doc 2018 11 20 08.59.35

image description - New Doc 2018 11 20 08.59.35

This is a medication called Topiramate in the form of yellow circular tablets. The package also includes a warning to keep the medication out of reach of children, storage instructions, and information about the manufacturer located in India. It is recommended to consult with a physician and review the manufacturer's insert.*

chemical-structure - chemical structure

chemical-structure - chemical structure

figure-1jpg - figure 1

figure-1jpg - figure 1

This is a figure showing the Kaplan-Meier estimates of cumulative rates for time to first seizure of two different doses (50 mg/day and 400 mg/day) of the drug Topiramate. The x-axis shows time in days, and the y-axis shows the cumulative probability of remaining seizure-free. The figure suggests that the higher dose of Topiramate (400 mg/day) results in a significantly higher probability of remaining seizure-free compared to the lower dose (50 mg/day).*

figure-2 - figure 2

figure-2 - figure 2

This is a chart that shows the change in monthly migraine period rate from baseline to double-blind phase for different dosages of Topiramate and Placebo in two studies. The dosages compared were 50mg/day, 100mg/day, and 200mg/day. The number of individuals in each group is also provided. The chart indicates that there was a statistically significant reduction in migraine period rate in the Topiramate groups compared to the Placebo group.*

* 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.