Product Images Pregabalin
View Photos of Packaging, Labels & Appearance
- Label - lbl721621546
- Figure 1 - pregabalin fig01
- Figure 2 - pregabalin fig02
- Figure 3 - pregabalin fig03
- Figure 4 - pregabalin fig04
- Figure 5 - pregabalin fig05
- Figure 6 - pregabalin fig06
- Figure 7 - pregabalin fig07
- Figure 9 - pregabalin fig08
- Figure 10 - pregabalin fig09
- Figure 11 - pregabalin fig10
- Figure 12 - pregabalin fig11
- Cockcroft and Gault equation - pregabalin formula
- Chemical Structure - pregabalin str
Product Label Images
The following 14 images provide visual information about the product associated with Pregabalin NDC 72162-1546 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 - lbl721621546

Each capsule of this drug contains 200mg of Pregabalin, a medication for nerve pain and seizures. It should be kept out of the reach of children and stored between 20-25°C (68°-77°F) with short excursions permitted up to 15-30°C (59°-86°F). The drug is available in 90 capsules per package and has been repackaged by Bryant Ranch Prepack, Inc. It is manufactured by ScieGen Pharmaceuticals, Inc. This drug is available only with a prescription.*
Figure 1 - pregabalin fig01

This is a report that shows a chart depicting the percent of patients that improved their pain, with numbers ranging from 88 to 3. There is also a line graph showing percentage improvement in pain from baseline, although the values are not clear.*
Figure 2 - pregabalin fig02

This text is a table that shows the percentage of patients who improved after taking Pregabalin 160mg for three days. It also includes a chart that presents the percentage improvement in pain from baseline at different time intervals, but the data is not in a readable format.*
Figure 3 - pregabalin fig03

This text appears to be a table displaying different medications (Pregatalin, Pregabain, Pregabalin, and Flaosbo) with their respective dosages and the percentage of patients who improved while taking them. It also shows the percentage improvement in pain compared to a baseline. However, the format of the text and the presence of characters that do not constitute a language make it difficult to obtain more detailed information.*
Figure 6 - pregabalin fig06

This appears to be a table that includes information about several studies, dosages, and statistical significance. Without more context, it is difficult to provide a more detailed description.*
Figure 9 - pregabalin fig08

The text displays a chart presenting the percentage of patients who improved while taking Pregabalin at different doses, compared to placebo. The X-axis shows the percentage of improvement in pain from the baseline, while the Y-axis shows the different doses tested. There is not enough information provided to explain what type of pain or condition was being treated.*
Figure 10 - pregabalin fig09

This section presents a chart showing the estimated percentage of subjects without LTR (Likely Therapeutic Response) for two treatments, Progabain and Placebo, over a period of 180 days. The percentage values range from 0% to 100%. The chart also displays the timeline of the study with days numbered from 0 to 180.*
Figure 12 - pregabalin fig11

The text appears to show a table comparing the percentage of subjects improved using Pregabalin and Placebo. The table includes data points at week 16 and shows improvement percentages at 100, 210, 220, 230, 240, 250, 260, 270, and 280.*
Cockcroft and Gault equation - pregabalin formula

This text appears to be a formula for calculating creatinine clearance (CLCT) based on age, weight, and serum creatinine levels. The formula is given as "[140 - age (years)] x weight (kg) x mmmmmmmmm e e (x 0.85 for female patients) / 72 x serum creatinine (mg/dL)". However, the characters "mmmmmmmmm e e" are not readable and this may affect the accuracy of the formula.*
* 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.