Product Images Gabapentin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Gabapentin NDC 50090-2590 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.

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This is a chart depicting mean pain scores during a study with a 4-week dose titration period followed by a 4-week fixed dose period. The chart compares the mean pain scores of a placebo group with a group taking 3600 mg/day of Gabapentin. The baseline pain score and pain scores at weeks 1 to 8 are shown on the chart.*

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This is a chart related to a medication study where the dose of Gabapentin was titrated over a 3-week period and then a fixed dose was maintained for 4 weeks. There were 104 participants who either received a placebo or Gabapentin at either 1800mg/day or 2400mg/day. The chart displays the mean pain score over a duration of 7 weeks, including the baseline.*

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The text describes a chart that shows the proportion of responders in controlled PHN studies at endpoint. The responders mentioned are the patients who have had more than 50% reduction in pain score. The chart consists of percentage values ranging from 0% to 100% in increments of 10. The chart describes two studies- 'Study 1' and 'Study 2'. Under study 1, 'GBP 3600' had 29% responders, 'PBO' had 12% responders. Under study 2, 'GBP 2400' had 34% responders, 'GBP 1800' had 14%, and 'PBO' had 3% responders. The text also mentions some statistical tests carried out which are not entirely discernible.*

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This text provides a formula for calculating estimated creatinine clearance (CLCr) for patients using their age and serum creatinine level, with a specific adjustment factor for female patients. Not much context is given for how this calculation is to be applied or why it might be useful.*

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* 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.