Doxazosin Tablet
Product Images NDC 50090-6298

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Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Doxazosin (NDC 50090-6298). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by A-s Medication Solutions, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Chemical Structure (Doxazosin 01)

FDA Label Image

Table 3 (Doxazosin 02)

Table 3 (Doxazosin 02)
This text provides data from three different studies evaluating the effect of doxazosin and placebo on maximum flow rate (mL/sec) and symptom score in patients with benign prostatic hyperplasia (BPH). The studies used different dosing regimens of doxazosin and variable treatment durations. The results indicate that doxazosin resulted in a significant improvement in maximum flow rate and symptom score compared to placebo in most cases. Symptom score was measured using the AUA questionnaire (range 0 to 30) in studies 1 and 3, and the Modified Boyarsky questionnaire (range 7 to 39) in study 2. However, the text doesn't provide detailed information on the methodology, demographics, or adverse events recorded in the studies.*
FDA Label Image

Figure 1 (Doxazosin 03)

Figure 1 (Doxazosin 03)
The text is a figure showing study results for the mean change in total symptom score and mean increase in maximum urinary flow rate from baseline after a duration of treatment in weeks for 47 participants. The figure includes two graphs displaying the results over time. There are asterisks indicating statistical significance (*p < 0.05 compared to placebo; +p < 0.05 compared to baseline) and a note that Doxazosin was titrated to a maximum of 8 mg.*
FDA Label Image

Label Image (Lbl500906298)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.