Product Images Pregabalin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 16 images provide visual information about the product associated with Pregabalin NDC 71610-800 by Aphena Pharma Solutions - Tennessee, 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.
This text provides information on different medication doses given to patients (Fregabalin 100 mg, Pregataiin 80 mg, Placebo) and the improvement levels of these patients. It also includes a numerical representation showing the percentage of patients improved and the percentage of improvement in pain from the baseline.*
This text provides information about a study comparing the effects of different dosages of a certain medication with a placebo. The dosages evaluated are 50mg/day, 150mg/day, 300mg/day, and 600mg/day. It mentions that there is a statistically significant difference compared to the placebo group.*
This text provides data on the percentage of patients improved with different doses of pregabalin (300mg and 450mg daily) compared to a placebo. It also includes a graph showing the percent improvement in pain from baseline. The graph's x-axis ranges from 210 to 280, while the y-axis shows the percent of patients improved, ranging from 0 to 100.*
The provided text contains information on responder rates of different treatment groups. It includes percentages such as 40.6%, 29.1%, and 22.6%. The comparison seems to involve a placebo and different dosage levels of a substance. The document also mentions values like 93, 103, and 9%.*
This formula calculates the Creatinine Clearance (CLCT) based on the age and weight of the patient for males, and for females, the result is multiplied by 0.85. The formula also involves the serum creatinine level in mg/dL.*
* 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.