Product Images Levetiracetam
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 10 images provide visual information about the product associated with Levetiracetam NDC 63187-360 by Proficient Rx Lp, 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.
This is a formula for calculating the total daily dose in milliliters, based on the patient's weight and the daily dose in milligrams per kilogram. The concentration of the medication is 100 mg/mL.*
This appears to be a formula for calculating the estimated glomerular filtration rate (eGFR) for female patients based on their age, weight, and serum creatinine levels. The equation takes into account adjustments for body surface area. The text seems to be a medical or scientific document.*
The text seems to show percentages of patients for different groups, possibly related to a medical study. However, given the lack of context and incomplete information, it is not possible to provide a more detailed description.*
This is a table showing the percentage of patients in a study that took placebo and levetiracetam. The percentages range from 0% to 44.6%, with the majority of patients taking levetiracetam. There is no further information available.*
This appears to be a statistical data report representing the percentage of patients who received Placebo (51 patients) and Levetiracetam (58 patients). The percentage of patients who received Placebo is 19.6% while the percentage of patients who received Levetiracetam is 43.1%.*
This is a chart representing the percentage of patients in two groups (placebo and levetiracetam) based on an unknown criterion. The x-axis has 10 points ranging from 0 to 100%, while the y-axis is not labeled. The placebo group has 84 patients, and the levetiracetam group has 79 patients.*
* 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.