Product Images Pregabalin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 14 images provide visual information about the product associated with Pregabalin NDC 68788-7527 by Preferred Pharmaceuticals, 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.
The text seems to be a table or a graph with different doses of medication (placebo, 50mg/day, 150mg/day, 300mg/day, and 600mg/day) for two studies (E1 and E3) being compared in terms of their statistical significance. Unfortunately, it does not provide further information as to the nature of the studies, or the specific outcome being measured.*
The text represents a graph showing the percentage of patients who experienced an improvement in pain from baseline when taking different doses of Pregabalin (300mg and 450mg) compared to a placebo. The X-axis shows the improvement in pain from baseline, while the Y-axis displays the different doses of Pregabalin and the placebo. It is not possible to analyze the graph without having access to the visual representation.*
The text appears to be a table showing estimated percentage of subjects without LTR for a drug called "Progabain" and a placebo over a period of up to 180 days. The percentages range from 0% to 100% at varying intervals.*
Percent of subjects improved data is provided in the text. It indicates the percent of improvement of the subjects from Bassine to Week 16. It also includes some garbled text.*
This appears to be a medical formula for calculating the CLCT (creatinine clearance) of a patient. The formula uses the patient's age in years and weight in kilograms, along with their serum creatinine level in milligrams per deciliter. The variable "mmmmmmmmm" is not readable, but it is likely a placeholder for a constant value that would be used in the calculation. For female patients, the result is multiplied by 0.85.*
* 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.