Product Images Oxaliplatin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Oxaliplatin NDC 0955-1727 by Winthrop U.s, A Business Of Sanofi-aventis U.s. 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.

Figure 1 - oxaliplatin 01

Figure 1 - oxaliplatin 01

Chemical Structure - oxaliplatin 02

Chemical Structure - oxaliplatin 02

Not available. The text consists mostly of symbols and numbers with no discernible words or sentences.*

Figure 2 - oxaliplatin 03

Figure 2 - oxaliplatin 03

Figure 3 - oxaliplatin 04

Figure 3 - oxaliplatin 04

The text is describing a graph that displays the percentage of patients surviving while being treated with different medications. Specifically, the graph is comparing the effectiveness of ELOXATIN+SFULV versus ELOXATIN+innotecan and Iinotecan+SFULY in terms of Wedian Survival (measured in months). The graph shows that the ELOXATIN+SFULV treatment had the highest success rate, whereas the Iinotecan+SFULY treatment had the lowest. The text also includes a p-value indicating that the difference between ELOXATIN+SFULV and the other treatments was statistically significant.*

Figure 4 - oxaliplatin 05

Figure 4 - oxaliplatin 05

This appears to be a mix of different text fragments and symbols that do not form a coherent description. It is not-available.*

PRINCIPAL DISPLAY PANEL - 50 mg Vial Carton - oxaliplatin 06

PRINCIPAL DISPLAY PANEL - 50 mg Vial Carton - oxaliplatin 06

This text appears to be a product label for Oxaliplatin injection, manufactured by Sanofi Company. It provides information on the dosage and administration of the drug, as well as warnings and precautions. There is also a reference to "full prescribing information" that should be consulted for more details.*

* 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.