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- W2963080417 abstract "To investigate using patient posts in social media as a resource to profile off-label prescriptions of cancer drugs.We analyzed patient posts from the Inspire health forums (www.inspire.com) and extracted mentions of cancer drugs from the 14 most active cancer-type specific support groups. To quantify drug-disease associations, we calculated information component scores from the frequency of posts in each cancer-specific group with mentions of a given drug. We evaluated the results against three sources: manual review, Wolters-Kluwer Medi-span, and Truven MarketScan insurance claims.We identified 279 frequently discussed and therefore highly associated drug-disease pairs from Inspire posts. Of these, 96 are FDA approved, 9 are known off-label uses, and 174 do not have records of known usage (potentially novel off-label uses). We achieved a mean average precision of 74.9% in identifying drug-disease pairs with a true indication association from patient posts and found consistent evidence in medical claims records. We achieved a recall of 69.2% in identifying known off-label drug uses (based on Wolters-Kluwer Medi-span) from patient posts." @default.
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- W2963080417 date "2019-07-22" @default.
- W2963080417 modified "2023-09-27" @default.
- W2963080417 title "Profiling off-label prescriptions in cancer treatment using social health networks" @default.
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- W2963080417 doi "https://doi.org/10.1093/jamiaopen/ooz025" @default.
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