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Can social media data lead to earlier detection of drug‐related adverse events?

PURPOSE: To compare the patient characteristics and the inter‐temporal reporting patterns of adverse events (AEs) for atorvastatin (Lipitor(®)) and sibutramine (Meridia(®)) in social media (AskaPatient.com) versus the FDA Adverse Event Reporting System (FAERS). METHODS: We identified clinically impo...

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Autores principales: Duh, Mei Sheng, Cremieux, Pierre, Audenrode, Marc Van, Vekeman, Francis, Karner, Paul, Zhang, Haimin, Greenberg, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5157765/
https://www.ncbi.nlm.nih.gov/pubmed/27601271
http://dx.doi.org/10.1002/pds.4090
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author Duh, Mei Sheng
Cremieux, Pierre
Audenrode, Marc Van
Vekeman, Francis
Karner, Paul
Zhang, Haimin
Greenberg, Paul
author_facet Duh, Mei Sheng
Cremieux, Pierre
Audenrode, Marc Van
Vekeman, Francis
Karner, Paul
Zhang, Haimin
Greenberg, Paul
author_sort Duh, Mei Sheng
collection PubMed
description PURPOSE: To compare the patient characteristics and the inter‐temporal reporting patterns of adverse events (AEs) for atorvastatin (Lipitor(®)) and sibutramine (Meridia(®)) in social media (AskaPatient.com) versus the FDA Adverse Event Reporting System (FAERS). METHODS: We identified clinically important AEs associated with atorvastatin (muscle pain) and sibutramine (cardiovascular AEs), compared their patterns in social media postings versus FAERS and used Granger causality tests to assess whether social media postings were useful in forecasting FAERS reports. RESULTS: We analyzed 998 and 270 social media postings between 2001 and 2014, 69 003 and 7383 FAERS reports between 1997 and 2014 for atorvastatin and sibutramine, respectively. Social media reporters were younger (atorvastatin: 53.9 vs. 64.0 years, p < 0.001; sibutramine: 36.8 vs. 43.8 years, p < 0.001). Social media reviews contained fewer serious AEs (atorvastatin, pain: 2.5% vs. 38.2%; sibutramine, cardiovascular issues: 7.9% vs. 63.0%; p < 0.001 for both) and concentrated on fewer types of AEs (proportion comprising the top 20 AEs: atorvastatin, 88.7% vs. 55.4%; sibutramine, 86.3% vs. 65.4%) compared with FAERS. While social media sibutramine reviews mentioning cardiac issues helped predict those in FAERS 11 months later (p < 0.001), social media atorvastatin reviews did not help predict FAERS reports. CONCLUSIONS: Social media AE reporters were younger and focused on less‐serious and fewer types of AEs than FAERS reporters. The potential for social media to provide earlier indications of AEs compared with FAERS is uncertain. Our findings highlight some of the promises and limitations of online social media versus conventional pharmacovigilance sources and the need for careful interpretation of the results. © 2016 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.
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spelling pubmed-51577652016-12-30 Can social media data lead to earlier detection of drug‐related adverse events? Duh, Mei Sheng Cremieux, Pierre Audenrode, Marc Van Vekeman, Francis Karner, Paul Zhang, Haimin Greenberg, Paul Pharmacoepidemiol Drug Saf Original Reports PURPOSE: To compare the patient characteristics and the inter‐temporal reporting patterns of adverse events (AEs) for atorvastatin (Lipitor(®)) and sibutramine (Meridia(®)) in social media (AskaPatient.com) versus the FDA Adverse Event Reporting System (FAERS). METHODS: We identified clinically important AEs associated with atorvastatin (muscle pain) and sibutramine (cardiovascular AEs), compared their patterns in social media postings versus FAERS and used Granger causality tests to assess whether social media postings were useful in forecasting FAERS reports. RESULTS: We analyzed 998 and 270 social media postings between 2001 and 2014, 69 003 and 7383 FAERS reports between 1997 and 2014 for atorvastatin and sibutramine, respectively. Social media reporters were younger (atorvastatin: 53.9 vs. 64.0 years, p < 0.001; sibutramine: 36.8 vs. 43.8 years, p < 0.001). Social media reviews contained fewer serious AEs (atorvastatin, pain: 2.5% vs. 38.2%; sibutramine, cardiovascular issues: 7.9% vs. 63.0%; p < 0.001 for both) and concentrated on fewer types of AEs (proportion comprising the top 20 AEs: atorvastatin, 88.7% vs. 55.4%; sibutramine, 86.3% vs. 65.4%) compared with FAERS. While social media sibutramine reviews mentioning cardiac issues helped predict those in FAERS 11 months later (p < 0.001), social media atorvastatin reviews did not help predict FAERS reports. CONCLUSIONS: Social media AE reporters were younger and focused on less‐serious and fewer types of AEs than FAERS reporters. The potential for social media to provide earlier indications of AEs compared with FAERS is uncertain. Our findings highlight some of the promises and limitations of online social media versus conventional pharmacovigilance sources and the need for careful interpretation of the results. © 2016 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd. John Wiley and Sons Inc. 2016-09-07 2016-12 /pmc/articles/PMC5157765/ /pubmed/27601271 http://dx.doi.org/10.1002/pds.4090 Text en © 2016 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Reports
Duh, Mei Sheng
Cremieux, Pierre
Audenrode, Marc Van
Vekeman, Francis
Karner, Paul
Zhang, Haimin
Greenberg, Paul
Can social media data lead to earlier detection of drug‐related adverse events?
title Can social media data lead to earlier detection of drug‐related adverse events?
title_full Can social media data lead to earlier detection of drug‐related adverse events?
title_fullStr Can social media data lead to earlier detection of drug‐related adverse events?
title_full_unstemmed Can social media data lead to earlier detection of drug‐related adverse events?
title_short Can social media data lead to earlier detection of drug‐related adverse events?
title_sort can social media data lead to earlier detection of drug‐related adverse events?
topic Original Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5157765/
https://www.ncbi.nlm.nih.gov/pubmed/27601271
http://dx.doi.org/10.1002/pds.4090
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