Product Images Atorvastatin Calcium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Atorvastatin Calcium NDC 70882-106 by Cambridge Therapeutics Technologies, Llc, 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.
The given text seems to represent data related to cumulative hazard, Atorvastatin, and primary endpoint. It also includes a table or a graph showing the Hazard percentage at 10 and 15. It mentions an HR value of 0.83 with a p-value of 0.001. The text also shows a timeline extending up to four years of follow-up. Therefore, this text may represent the results of a study or research on the use of Atorvastatin for a primary endpoint.*
The text describes the results of a study comparing the effects of two different drugs on the occurrence of a major cardiovascular event. The table shows the percentage of subjects experiencing the event over time (1 to 4 years) for each drug (Horvasiati 10mg and Honvasatin 80mg), as well as a statistical result (HR 0.75) indicating a lower risk of the event with one of the drugs.*
This is a description of Atorvastatin Calcium, a drug used for cardiovascular health. It comes in light-resistant packaging and is tamper-evident. Dosages are listed on the packaging, and the patient information leaflet must be dispensed with the medication. The packaging is child-resistant and has a feature to manage daily dosing. The drug should be stored at 20-25°C and protected from moisture. The text also includes information regarding a commercial printer and Keystone Folding Box Co.*
This is a pharmaceutical product label for Atorvastatin Calcium Tablets of 20 mg strength. It provides instructions for use, and warnings regarding child safety and package integrity. It also includes the name and contact details of the company responsible for packaging and distribution.*
* 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.