Product Images Amlodipine Besylate

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Product Label Images

The following 4 images provide visual information about the product associated with Amlodipine Besylate NDC 43063-764 by Pd-rx 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.

43063764 Label - 43063764

43063764 Label - 43063764

This is a medication label for AmLODIPine Besylate USP with a dosage of 2.5mg, containing 30 tablets per bottle. Patients are advised to finish all medication unless otherwise instructed by a doctor. They are also warned to watch for side effects and to report such to the FDA. The pills are white, round, and are marked with 126C, the NDC code is 43063-764-30. The label also includes information about the manufacturer and an expiration date of 01/50. The label is partially in Spanish, indicating that the tablets may be taken several times a day, and the label also specifies that each tablet contains amLODIPine Besylate USP equivalent to 2.5mg of amLODIPine.*

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dc48db65 ee80 4852 a3aa a23ec74f4416 02

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This is a statistical report with information regarding an event rate. The p-value is 0.003 and the hazard ratio is 0.691 with a 95% confidence level ranging from 0.54 to 0.88. There is a graph with time (in months) and risk, and the data seems to involve the medication Amlodipine.*

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This appears to be a table regarding a study comparing the effectiveness of Amlodipine versus Placebo. The table includes information about the patient population, including age, gender, and baseline blood pressure levels, as well as details about pre-existing vessel disease and stenosis. There are also categories for patients who underwent PCI-stent placement. The data is in the form of counts and percentages, and there are some confidence intervals provided.*

* 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.