Product Images Sevelamer Carbonate
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Product Label Images
The following 4 images provide visual information about the product associated with Sevelamer Carbonate NDC 69097-893 by Cipla Usa 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.
Label Image - sevelamer carbonate tabs 800mg
Sevelamer Carbonate Tablets is a prescription medication manufactured by Cipla used to treat high levels of phosphorus in the blood, a condition called hyperphosphatemia, in people with chronic kidney disease on dialysis. Each film-coated tablet contains 800 mg of sevelamer carbonate in addition to some inactive ingredients. The usual dosage of the medication is provided in the package insert. The medication should be stored in a light-resistant container and protected from moisture within the range of 20°C to 25°C. The manufacturer of this medication is Cipla USA and it is manufactured by InvaGen Pharmaceuticals.*
Chemical Structure/Figure 1 - sevelamer carbonate tabs fig01
This text does not provide enough detail to generate a useful description. It appears to be a chemical formula with some molecular groups listed, but without context or further information it is difficult to draw any conclusions or provide any specific meaning.*
Figure 2 - sevelamer carbonate tabs fig02
This appears to be data from a clinical trial evaluating the efficacy of Sevelamer Hydrochloride in reducing serum phosphorus levels in patients with a specific condition. The graph shows the percentage of patients experiencing improvement or worsening of their condition after treatment with Sevelamer Hydrochloride compared to an active control. The reduction in serum phosphorus levels from baseline is also displayed. Further context or details cannot be inferred from the provided text.*
Figure 3 - sevelamer carbonate tabs fig03
Not available.*
* 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.