Product Images Xiaflex

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Product Label Images

The following 10 images provide visual information about the product associated with Xiaflex NDC 66887-003 by Endo 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. Kaplan-Meier Plot Displaying Estimated Probability of Remaining Recurrence-Free over Time in the Observational Study 4 among Joints that were Successfully Treated in a Previous Study - xiaflex 1

Figure 1. Kaplan-Meier Plot Displaying Estimated Probability of Remaining Recurrence-Free over Time in the Observational Study 4 among Joints that were Successfully Treated in a Previous Study - xiaflex 1

Principal Display Panel – Single-Pack Carton - xiaflex 10

Principal Display Panel – Single-Pack Carton - xiaflex 10

Not available. The text appears to be mostly random characters and doesn't form a coherent description.*

Figure 2. Mean Percent Change in Penile Curvature Deformity – Study 1 - xiaflex 2

Figure 2. Mean Percent Change in Penile Curvature Deformity – Study 1 - xiaflex 2

Figure 3. Mean Percent Change in Penile Curvature Deformity – Study 2 - xiaflex 3

Figure 3. Mean Percent Change in Penile Curvature Deformity – Study 2 - xiaflex 3

This appears to be a chart displaying the mean percentage change in penile curvature deformity for a treatment called XIAFLEX versus a placebo. The chart includes five different treatment periods, labeled by week number. However, the text before the chart appears to be gibberish and not readable.*

Figure 4. Mean Change in Patient-Reported Peyronie’s Disease Bother Domain Score – Study 1 - xiaflex 4

Figure 4. Mean Change in Patient-Reported Peyronie’s Disease Bother Domain Score – Study 1 - xiaflex 4

This is a chart that displays the mean change in the patient-reported PD Bother Domain Score for two treatments, Gileck and XIAFLEX, at two follow-up intervals, Week 24 and Week 52. The chart suggests that XIAFLEX results in less bother for patients compared to a placebo.*

Figure 5. Mean Change in Patient-Reported Peyronie’s Disease Bother Domain Score – Study 2 - xiaflex 5

Figure 5. Mean Change in Patient-Reported Peyronie’s Disease Bother Domain Score – Study 2 - xiaflex 5

This appears to be a table or graph comparing the impact of a treatment (potentially XIAFLEX) to a placebo on the patient-reported PD (Peyronie's disease) bother domain score. The score is tracked over a 52-week follow-up period and shows less bother for the treatment group (possibly Gileck) compared to the placebo group. The initial score for the treatment group may have been 1 and the initial score for the placebo group may have been 0.*

Figure A - xiaflex 6

Figure A - xiaflex 6

Figure B - xiaflex 7

Figure B - xiaflex 7

Principal Display Panel – 3 mL Vial, Sterile Diluent - xiaflex 8

Principal Display Panel – 3 mL Vial, Sterile Diluent - xiaflex 8

This is a description of a sterile diluent used for the reconstitution of XIAFLEX, a medication used in the treatment of Peyronie's disease and Dupuytren's contracture. The diluent contains 0.3 mg/mL of calcium chloride dihydrate in 0.9% sodium chloride. It comes in a 3ml container and is distributed by Endo Pharmaceuticals Inc. based in Malvern, PA. This product is only available by prescription.*

Principal Display Panel – 0.9 mg Vial, XIAFLEX for Injection - xiaflex 9

Principal Display Panel – 0.9 mg Vial, XIAFLEX for Injection - xiaflex 9

This is a description of a medication called XIAFLEX, which contains 0.9 mg of collagenase clostridium histolyticum per vial. The medication is distributed by Endo Pharmaceuticals Inc. in Malvern, PA with manufacturing done by Auxilium Pharmaceuticals, LLC. It is only available through a prescription, indicated by "Rx Only" on the package. The product is identified by the National Drug Code (NDC) number 66887-003-01 and the lot number is 123724.*

* 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.