Product Images Rabeprazole Sodium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Rabeprazole Sodium NDC 68788-7657 by Preferred 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.
This is a table that shows the mean heartburn scores for a study on two different doses of a medication (10mg and 20mg) compared to a placebo. The study included 68 participants in the placebo group, 64 participants in the 10mg group, and 67 participants in the 20mg group. Heartburn scores range from 0 (no heartburn) to 4 (very severe heartburn).*
The text appears to be a chart showing the mean score of heartburn among three groups: placebo, RAB10mg, and RAB20mg, consisting of different sample sizes. The heartburn score ranges from 0 (none) to 4 (very severe) and was measured on four different study days: 7, 14, 21, and 28.*
The text describes the mean scores for heartburn in a study comparing the placebo group (with 58 participants) to the group taking RAB 20 mg (with 59 participants). The heartburn scores range from 0 (none) to 3 (severe), with a classification for moderate and very severe.*
The text is providing information about heartburn scores for a study using a placebo and RAB20mg. The scores range from 0 to 4, where 0 indicates no heartburn and 4 indicates very severe heartburn. The text does not provide any additional information.*
The text contains information about Rabeprazole Sodium Delayed Release Tablets, which are prescribed to patients and should not be transferred to anyone else due to federal law. Each tablet contains 20mg of Rabeprazole and sodium. The text provides information about the manufacturer (Aurobindo Pharma Limited) and the product's expiration date, lot and batch number, and NDC code.*
* 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.