Product Images Clopidogrel
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 11 images provide visual information about the product associated with Clopidogrel NDC 50090-5781 by A-s Medication Solutions, 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 graph that compares two types of medication - Placebo (with aspirin) and Clopidogrel (with aspirin). The graph shows the number of months of follow-up on the x-axis and the probability of an event (not specified) on the y-axis. The values on the y-axis range from 0 to 0.00009. Other standard therapies were used as needed while conducting the study.*
This appears to be a summary of data from a study comparing the use of a drug (Clopidogrel) to a placebo in patients who were also given aspirin. Both groups had a certain number of deaths, and it is stated that the Clopidogrel group had a 7% risk reduction compared to the placebo group (with a p-value of 0.03). The graph appears to show the number of days since randomization in the study. There is not enough context to determine the purpose of the study or the nature of the condition being treated.*
This is a report of a clinical study comparing the effectiveness of aspirin and clopidogrel, with a p-value of 0.045 indicating a statistically significant difference between the two treatments. The study was conducted for a period of several months but the exact duration is not specified.*
This is a table with numerical values that seems to relate to a study or research which includes the administration of a drug called Clopidogrel and a placebo. The table provides the results of the study, with some values being favorable towards the placebo group. There is also a reference to a location called Ratho G5, but it's not clear how it is related to the study.*
* 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.