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  5. Product Images: Duloxetine

Product Images Duloxetine

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Product Label Images

The following 9 images provide visual information about the product associated with Duloxetine NDC 63187-612 by Proficient Rx Lp, 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.

Figure 1: Kaplan-Meier Estimation of Cumulative Proportion of Patients with Relapse (MDD Study 5) - duloxetine fig1

Figure 1: Kaplan-Meier Estimation of Cumulative Proportion of Patients with Relapse (MDD Study 5) - duloxetine fig1

Figure 2: Kaplan-Meier Estimation of Cumulative Proportion of Patients with Relapse (GAD Study 4) - duloxetine fig2

Figure 2: Kaplan-Meier Estimation of Cumulative Proportion of Patients with Relapse (GAD Study 4) - duloxetine fig2

Figure 3: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity - DPNP-1 - duloxetine fig3

Figure 3: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity - DPNP-1 - duloxetine fig3

The text is a chart or a figure description showing the effectiveness of different doses of Duloxetine in relieving pain (DPNP-1) for patients. There are three doses measured (2x60mg daily, 1x60mg daily, and 1x40mg daily) and a placebo group. The chart shows the percentage of patients who reported improvement in pain at different levels, ranging from 10% to 100%. There is no additional information available.*

Figure 4: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity - DPNP-2 - duloxetine fig4

Figure 4: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity - DPNP-2 - duloxetine fig4

Figure 7: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity – CLBP-1 - duloxetine fig5

Figure 7: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity – CLBP-1 - duloxetine fig5

Figure 8: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity – CLBP-3 - duloxetine fig6

Figure 8: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity – CLBP-3 - duloxetine fig6

The text describes a graph showing the percentage of patients who achieved various levels of pain relief through a medication referred to as Duloxetine taken once daily, compared to a placebo. The graph shows percentage improvement in pain from a baseline with a focus on chronic lower back pain.*

Figure 9: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity – OA-1 - duloxetine fig7

Figure 9: Percentage of Patients Achieving Various Levels of Pain Relief as Measured by 24-Hour Average Pain Severity – OA-1 - duloxetine fig7

This text is a table or a figure display and does not provide enough information to generate a useful description.*

63187-612-60 - duloxetine fig9

63187-612-60 - duloxetine fig9

This is a medication label for Duloxetine 30mg, a prescription drug that comes in a bottle with 30 delayed-release capsules. Each capsule contains 33.7mg of duloxetine hydrochloride equivalent to 30mg of duloxetine. The capsules are blue opaque/white opaque, filled with white/off-white pellets and imprinted with X02. The product ID is RD061230, distributed by Citron Pharma LLC, made in India. It is important to keep the medication out of reach of children and store it at room temperature. There are lot and expiry numbers provided, and the medication guide should be dispensed to each patient separately. The product was relabeled by Proficient Rx LP, located in Thousand Oaks, CA.*

Structure - duloxetine str

Structure - duloxetine str

* 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.