Velphoro Tablet, Chewable
Product Images NDC 49230-645

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Velphoro (NDC 49230-645). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Fresenius Medical Care Renal Therapies Group, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (Vel01 0000 01)

This appears to be a table or a section of a report showcasing the results of a study comparing the maintenance and low doses of a medication called Velphoro, versus another medication called Sevelamer Carbonate, for the purpose of treating a particular condition. The study had a total of 694 participants, with 44 participants receiving the maintenance dose of Velphoro and 49 receiving the low dose. There seems to be a comparison of the effectiveness of the two medications over time, possibly through different phases of the study.*

FDA Label Image

Principal Display Label (Bottle Label)

This is a description of a medication called Velphoro. It comes in a pack of 90 chewable tablets, each with a strength of 500mg. The active ingredient in Velphoro is sucroferic oxyhydroide, which is used to treat certain medical conditions. The package includes instructions to chew or crush the tablets before consuming. The text also mentions the cost of the medication and the package size.*

FDA Label Image

Principal Display Label (Bottle Carton)

This is a description for Velphoro chewable tablets with 500mg of sueroferric oxyhydroxide. The tablets should be chewed or crushed and the bottle contains 90 tablets. However, there is some unclear text, and there is an "FXonly" note, which could indicate that the product is available through prescription only.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.