Product Images Doxazosin
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Product Label Images
The following 4 images provide visual information about the product associated with Doxazosin NDC 71335-9672 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.
Chemical Structure - doxazosin 01
Table 3 - doxazosin 02
This text provides a comparison of the maximum flow rate, symptom score, and mean change in baseline for different treatments for benign prostatic hyperplasia (BPH). The studies evaluated the effects of doxazosin in different doses and titrations compared to placebo. The first study titrated to a maximum dose of 8ng, and the second study titrated to a fixed dose for 14 weeks. The third study titrated to fixed doses for 12 weeks. The symptom score was measured using the AUA questionnaire, and the modified Boyarsky questionnaire was used in study 2. The text mentions significant changes in symptom score and mean flow rate for doxazosin compared to placebo in some cases.*
Figure 1 - doxazosin 03
The text is describing a study that shows the mean change in total symptoms and an increase in maximum urinary flow rate from baseline after the administration of Doxazosin. The study was conducted with 47 participants, and the duration of treatment was measured in weeks. The graph shows the comparison between placebo and Doxazosin titration up to a maximum of 8mg. Some data is not properly recognized by , leading to inaccuracies.*
Label - lbl713359672
This is a description of Doxazosin Mesylate Tablets containing 4 mg of the drug. The tablets come in a bottle of 100 and are stored between temperatures of 20-25°C, with excursions permitted between 15-30°C. The package was repackaged by Bryant Ranch Prepack, Inc. and manufactured by Upsher-Smith Laboratories, LLC. The tablets are only available through prescription.*
* 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.
