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Original Research

Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab

ORCID Icon, , , , , ORCID Icon, , , , , , & show all
Pages 2577-2586 | Published online: 19 Nov 2021

Figures & data

Table 1 Baseline Demographics and Clinical Characteristics

Figure 1 Word clouds in patients treated with (A) dupilumab or (B) placebo. Word cloud based on frequency (higher frequency = bigger font size). Only words that occur twice or more are shown. Stop words and the words “study” and “treatment” are omitted.

Figure 1 Word clouds in patients treated with (A) dupilumab or (B) placebo. Word cloud based on frequency (higher frequency = bigger font size). Only words that occur twice or more are shown. Stop words and the words “study” and “treatment” are omitted.

Figure 2 Co-occurrence of words in patients completing a self-assessment tool treated with (A) dupilumab, (B) placebo. Words in the same cluster were more frequently reported together. Colors identify word clusters.

Figure 2 Co-occurrence of words in patients completing a self-assessment tool treated with (A) dupilumab, (B) placebo. Words in the same cluster were more frequently reported together. Colors identify word clusters.

Figure 3 Sentiment analysis of patients completing a self-assessment tool: overall, dupilumab group, and placebo group.

Figure 3 Sentiment analysis of patients completing a self-assessment tool: overall, dupilumab group, and placebo group.