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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 23, 2018
Open Peer Review Period: Mar 24, 2018 - Apr 25, 2018
Date Accepted: Jun 29, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

Kürzinger ML, Schück S, Texier N, Abdellaoui R, Faviez C, Pouget J, Zhang L, Tcherny-Lessenot S, Lin S, Juhaeri J

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

J Med Internet Res 2018;20(11):e10466

DOI: 10.2196/10466

PMID: 30459145

PMCID: 6280030

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

  • Marie-Laure Kürzinger; 
  • Stéphane Schück; 
  • Nathalie Texier; 
  • Redhouane Abdellaoui; 
  • Carole Faviez; 
  • Julie Pouget; 
  • Ling Zhang; 
  • Stéphanie Tcherny-Lessenot; 
  • Stephen Lin; 
  • Juhaeri Juhaeri

Background:

While traditional signal detection methods in pharmacovigilance are based on spontaneous reports, the use of social media is emerging. The potential strength of Web-based data relies on their volume and real-time availability, allowing early detection of signals of disproportionate reporting (SDRs).

Objective:

This study aimed (1) to assess the consistency of SDRs detected from patients’ medical forums in France compared with those detected from the traditional reporting systems and (2) to assess the ability of SDRs in identifying earlier than the traditional reporting systems.

Methods:

Messages posted on patients’ forums between 2005 and 2015 were used. We retained 8 disproportionality definitions. Comparison of SDRs from the forums with SDRs detected in VigiBase was done by describing the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, receiver operating characteristics curve, and the area under the curve (AUC). The time difference in months between the detection dates of SDRs from the forums and VigiBase was provided.

Results:

The comparison analysis showed that the sensitivity ranged from 29% to 50.6%, the specificity from 86.1% to 95.5%, the PPV from 51.2% to 75.4%, the NPV from 68.5% to 91.6%, and the accuracy from 68% to 87.7%. The AUC reached 0.85 when using the metric empirical Bayes geometric mean. Up to 38% (12/32) of the SDRs were detected earlier in the forums than that in VigiBase.

Conclusions:

The specificity, PPV, and NPV were high. The overall performance was good, showing that data from medical forums may be a valuable source for signal detection. In total, up to 38% (12/32) of the SDRs could have been detected earlier, thus, ensuring the increased safety of patients. Further enhancements are needed to investigate the reliability and validation of patients’ medical forums worldwide, the extension of this analysis to all possible drugs or at least to a wider selection of drugs, as well as to further assess performance against established signals.


 Citation

Please cite as:

Kürzinger ML, Schück S, Texier N, Abdellaoui R, Faviez C, Pouget J, Zhang L, Tcherny-Lessenot S, Lin S, Juhaeri J

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

J Med Internet Res 2018;20(11):e10466

DOI: 10.2196/10466

PMID: 30459145

PMCID: 6280030

Per the author's request the PDF is not available.

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