Product Images Oxcarbazepine
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Product Label Images
The following 6 images provide visual information about the product associated with Oxcarbazepine NDC 70518-2276 by Remedyrepack 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.
OXcarbazepine is a pharmaceutical drug packaged in 30 HD2 quantities and is only available through a prescription. The product's NDC number is 70518-2276-00, the manufacturing company is Breckenridge, located in Boca Raton, FL 33487. The Lot number and expiration date are missing. The drug should be kept at a temperature of 20-26°C (63-77°F), with excursions allowed up to 15-30°C (59-86°F), as indicated by USP guidelines. The package insert should always be consulted before use. The product was repackaged by RemedyRepack Inc., an Indiana-based company.*
This is a graph showing the exit rate and the log-rank test p-value. The graph has a horizontal and a vertical axis with the time duration in days. There are two curves represented, but the only labeled curve is for Placebo. The graph has a spike in the exit rate at day 2, which returns to baseline by day 11. The value of p is 0.0001, which is statistically significant.*
This is a statistical report on the seizure rate of two treatment groups. The log-rank test shows a p-value of 0.046, indicating there is a statistically significant difference between the two groups. The graph displays the number of days from the first dose of medication to the first seizure for each group. One group was treated with Oxcarbazepine, while the other received a placebo.*
The text describes the result of a statistical analysis using a log-rank test, which resulted in a p-value of 0.0001. It also includes a graph with two treatment groups (HIGH and LOW) and their respective time to exit in days. Therefore, the text is a useful description of an experiment comparing exit rates between two treatment groups.*
* 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.