Product Images Pravastatin Sodium
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Product Label Images
The following 10 images provide visual information about the product associated with Pravastatin Sodium NDC 63187-732 by Proficient Rx Lp, 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.
This is a description of a medication with NDC code 63187-731-30. The medication is Pravastatin Sodium 20mg. It comes in a bottle containing 30 tablets. The tablets are white to off-white and have "PV20" on one side and a logo on the other side. The lot number is 00000 and the expiration date is 00/00/00. It was packaged by Proficient Rx LP located in Thousand Oaks, CA. The manufacturer is Watson Pharma Private Limited Verna, Salcette Goa 403 722 INDIA. It is recommended to be stored at a temperature of 25°C (77°F) and kept out of reach of children.*
This is a medication called Pravastatin Sodium 40mg with product ID PP073230. It comes in a bottle containing 30 white to off-white, capsule-shaped tablets with “logo” on one side and “PV40” on the other. The lot number is 00000, and it expires on 00/00/00. The medication is manufactured by Watson Pharma Private Limited in India and was packaged by Proficient Rx LP in Thousand Oaks, CA. The National Drug Code (NDC) for this medication is 63187-732-30. It is RX only and should be stored at 25°C (77°F) and kept out of reach of children.*
This appears to be a graph or chart showing survival distributions for a placebo versus pravastatin (a medication used to lower cholesterol) for patients with coronary heart disease. The graph indicates a logrank p-value of 0.0001, suggesting a statistically significant difference in outcomes between the two groups. However, without more context it is difficult to know what specific outcomes are being compared (death or nonfatal myocardial infarction), or what the numbers along the x-axis represent.*
* 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.