Product Images Oxcarbazepine
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Product Label Images
The following 6 images provide visual information about the product associated with Oxcarbazepine NDC 63629-9186 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.
Label - lbl636299186
This is a medication bottle label that contains Oxcarbazepine tablets, USP. Each film-coated tablet contains 300 mg of Oxcarbazepine. The recommended dosage is available on the insert. This medication should be kept out of reach of children and stored at a controlled temperature range of 20°-25°C (77°F). It contains FD&C Yellow No. 5 as a color additive and should be dispensed in a tight container. This is a prescription drug and should be dispensed with a medication guide for each patient. The NDC code for this medication is 63629-9186-01.*
Chemical Structure - oxcarbazepine 01
Figure 1 - oxcarbazepine 02
The text is providing information regarding the Exit Rate and log-rank test p-value with a graph showing the variation with time on trial. The study includes a Placebo group, and the graph shows the Exit Rate and time on trial from Day 2 to Day 11.*
Figure 2 - oxcarbazepine 03
This is a data table showing the days from the first dose to the first seizure of two treatment groups - Oxcarbazepine and Placebo. The Seizure Rate was tested using a log-rank test and yielded a p-value of 0.046.*
Figure 3 - oxcarbazepine 04
Figure 4 - oxcarbazepine 05
This appears to be a survival analysis output chart showing the exit rate and time to exit in days for a treatment group compared to a control group. The log-rank test was performed and the p-value is 0.0001, indicating a statistically significant difference between the groups. The chart displays time intervals from 10 to 130 days and specifies that the treatment group is labeled "HIGH" and the control group is labeled "LOW".*
* 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.