Clindesse Cream
Product Images NDC 45802-042
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Product Visual Gallery
This gallery contains 12 technical images submitted to the FDA as part of the official labeling for Clindesse (NDC 45802-042). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Padagis Israel Pharmaceuticals Ltd, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
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Image 01
This is a brief summary of adverse events data for the drug Clindesse compared to placebo. The data presents the number and percentage of individuals who experienced different adverse events. The adverse events mentioned include vaginosis fungal, headache, back pain, constipation, and urinary tract infection. The numbers in the table represent the number of individuals who experienced each adverse event in two separate groups, one of 85 participants and another one of 85 participants, respectively. The table is not very readable due to some unclear characters.*
Image 02
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The text appears to be a comparison of the outcome of Clindesse treatment vs placebo treatment in a study involving 78 individuals who received Clindesse and 66 who received the placebo. The outcomes are presented as a percentage of cure for therapeutic, clinical, and Nugent Score measures, along with the difference and confidence interval.*
Image 04
The text describes the results of a study evaluating the effectiveness of a single dose of Clindamycin vaginal cream (Clindesse) for the treatment of a medical condition, based on various cure measures. These measures include therapeutic cure, clinical cure, and Nugent Score cure, and are expressed in percentages for two different treatment groups. Additionally, the table displays differences and confidence intervals for each measure.*
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* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.