Product Images Amlodipine Besylate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Amlodipine Besylate NDC 60760-445 by St. Mary's Medical Park Pharmacy, 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.
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Figure 01 - 14b2acb6 ce0c 4f70 9d0a b6726c945ac2 02
This is a statistical analysis output related to an event rate. The P-value is 0.003 and the Hazard Ratio is 0.691 with a 95% confidence interval between 0.54 and 0.88. The rest of the text is not readable.*
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This is a table of clinical trial results comparing the effectiveness of Amlodipine versus a placebo in treating patients with baseline sitting SBP (systolic blood pressure) greater or less than the mean value. The trial involved a total of 1318 participants, including subgroups of patients aged under 65 or 65 and over, male or female, and patients with different numbers of vessels with stenosis or previous PCI (procedural cardiac intervention) with or without stent placement. The table displays hazard ratios with 95% confidence intervals.*
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This is a short and non-informative text. It appears to be a company name: Unichem Pharmaceuticals (USA), Inc. The text does not offer any specific information about the company's products or services.*
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This text contains the name of a pharmaceutical company- UNICHEM PHARMACEUTICALS (USA). INC.*
AM - Amlodipine 60760 445 30
This is the description: NDC 60760-445-30 is a medication containing Amiodipine Besylate available in tablet form. The tablets come in 10mg strength with each pack containing 30 tablets. The details of the manufacturer, Unichem Laboratories, are also mentioned. The medication is to be used as directed and stored within controlled temperature limits.*
* 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.
