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 68788-7524 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.
pregabalin caps 150mg 30s count
This is a label for Pregabalin Capsules 150mg manufactured by ScieGen Pharmaceuticals, Inc. The caution mentions that federal law prohibits the transfer of the medication to a non-patient. The text also includes information on the drug's dosage, ingredients, lot number, expiration date, and generic name, Lyrica.*
Figure 1 - pregabalin fig01
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Figure 9 - pregabalin fig08
The text shows a chart displaying percent of patients improved with the use of Pregabalin at 300mg and 450mg daily doses compared to placebo. The chart also indicates the percent improvement in pain from baseline.*
Figure 10 - pregabalin fig09
The text appears to be a chart or graph showing the estimated percentage of subjects without "LTR" for two treatments, Progabain and Placebo, over a period of 120 days. The percentages range from 0% to 100%. There are no further details available.*
Figure 11 - pregabalin fig10
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Cockcroft and Gault equation - pregabalin formula
This text appears to be a formula for calculating CLCT (Creatinine Clearance). It involves multiplying a value obtained by taking 140 minus the patient's age in years by their weight in kilograms. The resulting value is then adjusted by multiplying it by 0.85 for female patients. The second part of the formula involves multiplying 72 by the level of serum creatinine in mg/dL. It is unclear what the purpose of CLCT is or how this formula is used without additional context.*
Chemical Structure - pregabalin str
* 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.