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 71335-1762 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 - lbl713351762

This is a medicine package for a generic version of Lyrica 25mg capsules, packaged by Bryant Ranck Prepack. The package contains 30 capsules and should be stored at room temperature. The NDC number is 7133517621. There is a warning to keep all drugs out of reach of children.*

Cockcroft and Gault equation - pregabalin equation 1

Study DPN 1 - pregabalin image 1

Study SCI 1 - pregabalin image 10

Pain Intensity-study SCI 2 - pregabalin image 11

Study DPN 2 - pregabalin image 2

Study PHN 1 - pregabalin image 3

Study PHN 2 - pregabalin image 4

The text seems to be a table showing the percentage improvement in pain of patients based on the dosage of Pregabalin they received, compared to a placebo. However, the text is not very clear, making it difficult to read and understand properly.*

Study PHN 3 - pregabalin image 5

epilepsy study - pregabalin image 6

Studies E1, E2, and E3 - pregabalin image 7

Fibromyalgia Study F1 - pregabalin image 8

The text provides information on the percentage of patients who improved their pain levels from baseline after taking different doses of Pregabalin and Fiacsto. The table shows that patients taking 450mg or 300mg daily doses of Pregabalin saw a higher percentage of improvement in pain levels compared to those taking 150mg or 0mg of Pregabalin. However, no specific data is provided on the actual percentage of improvement.*

Fibromyalgia Study F2 - pregabalin image 9

Pregabalin structure - pregabalin srtuc 1

* 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.