Product Images Leflunomide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 8 images provide visual information about the product associated with Leflunomide NDC 35573-447 by Burel Pharmaceuticals, 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.
Chemical Structure - leflunomide tablets 1
Chemical Structure - leflunomide tablets 2
Figure 1 - leflunomide tablets 3
This is a table with information about clinical trials for treatments of rheumatoid arthritis. The table lists the percentage of patients who were ACR20 responders at the endpoint of each trial. The trials are labeled Trial 1, Trial 2, and Trial 3 and took place over 6 or 12 months. The treatments used in the trials are Leflunomide, Methotrexate, Placebo, and Sulfasalazine.*
Figure 2 - leflunomide tablets 4
This text presents a graph or a chart showing the percentage of ACR (American College of Rheumatology) Responders over time, according to Trial 1. The graph may be depicting the effectiveness of a treatment or medication over a period. The last observation carried forward may indicate that missing data was imputed by carrying forward the last non-missing observation.*
Figure 3 - leflunomide tablets 5
This is data regarding three trials that involved Leflunomide, methotrexate, sulfasalazine, and the placebo. The text describes the "Change in Sharp Score" for Trial 1, Trial 2, and Trial 3 that took place over 12 and 6 months. The Sharp Score is a scoring system used to evaluate the progression of joint damage in rheumatoid arthritis patients. The text also provides some numerical values for the trials.*
Figure 4 - leflunomide tablets 6
PDP - leflunomide tablets 7
PDP - leflunomide tablets 8
This appears to be a label for Leflunomide tablets, with dosage instructions and prescription requirements.*
* 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.