Online patient and caregiver conversations focused on neuroendocrine neoplasms (NENs): A global thematic analysis.

645 Background: NENs are a heterogeneous group of malignancies with complex care needs. Patients and caregivers increasingly use social media to share experiences, exchange information, and seek support, yet large-scale systematic analyses of public NEN discourse remain lacking. Methods: We conducted a computational analysis of publicly available social media posts by patients and caregivers (April 2022–March 2025) using Talkwalker, an NLP-enabled listening platform. English-language posts from Bluesky, Instagram, YouTube, and X were analyzed via a two-stage pipeline: rule-based filters (Boolean operators, custom lexicons) identified candidate posts, followed by human-in-the-loop verification of self-identification. Texts were preprocessed (tokenization, normalization, noise reduction) and thematically classified. Effect sizes were quantified with standardized mean differences (SMDs), and between-group significance was tested. A p-value