Product Images Gabapentin
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Product Label Images
The following 7 images provide visual information about the product associated with Gabapentin NDC 71335-1348 by Bryant Ranch Prepack, 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 text appears to be a formula for calculating creatinine clearance, a measure of kidney function. The formula involves multiplying the difference between 140 and the patient's age in years by their weight in kilograms, and then dividing by 72 times their serum creatinine level in milligrams per deciliter (with an adjustment factor of 0.85 for female patients). This formula is commonly used in clinical settings to estimate a patient's kidney function and help guide decisions about medication dosing and other aspects of care.*
This table presents the mean pain score for a 4-week fixed dose period using either a placebo or Gabapentin at 1800mg/day or 2400mg/day. The pain score was measured at baseline and weeks 1-7. No further information is available.*
The text describes the results of controlled PHN (Postherpetic Neuralgia) studies showing the proportion of responders (patients with a reduction of over 50% in pain score) at endpoint. It includes a figure and lists percentages for two studies. Additionally, there are price values listed for GBP 3600 PBO, GBP 1800, and GBP 2400.*
This is a package of Neurontin 300mg Capsules manufactured by Strides Pharma Science Limited with NDC 7133513481. It contains 30 capsules and was packaged by Bryant Ranck Prepack. The package should be stored at room temperature between 20°-25°C (68°-77°F) and kept out of reach of children. The text also includes a lot number (03056301523487) and an expiration date (EXP MM/YY), but the exact values of these are not clear due to errors.*
* 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.