Product Images Pirfenidone
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Pirfenidone NDC 50228-441 by Sciegen 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.
Figure 1 - pirfenidone 02
The text appears to be a chart or a table showing the percentage of patients on Pirfenidone and Placebo with worsening or no decline in %FVC (Forced Vital Capacity) after 52 weeks of treatment. It also includes the absolute change in %FVC from baseline. However, the data is not presented clearly and it is difficult to interpret the results without additional information.*
Figure 2 - pirfenidone 03
Figure 3 - pirfenidone 04
This appears to be a statistical analysis of a drug called Prednisone versus placebo, conducted on a sample of 623 people. However, the text is not complete and difficult to interpret out of context. A visual representation may help to better understand the data.*
PRINCIPAL DISPLAY PANEL - 267 mg 30 Capsules - pirfenidone 05
PRINCIPAL DISPLAY PANEL - 267 mg 500 Capsules - pirfenidone 06
This is a description of a medication called Pirfenidone, contained in capsules of 267 mg. The recommended dosage and storage instructions can be found in the package insert. The medication should be stored at a controlled room temperature of 25°C with excursions permitted between 15° and 30°C. The NDC code is 50228-441-05 and the medication is manufactured by ScieGen Pharmaceuticals in Hauppauge, NY. The medication should be kept out of reach of children. The medication is only available with a prescription. The expiration date is indicated as "NO VARNISH" and there is also a barcode on the package.*
Chemical Structure - pirfenidone str 01
* 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.