Pharmacovigilance for a revolving world: prospects of patient-generated data on the internet.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

10 citing papers in PubMed.

1. Combining Social Media and FDA Adverse Event Reporting System to Detect Adverse Drug Reactions.Drug safety · 2020
   Article
2. 'Engagement' of patients and healthcare professionals in regulatory pharmacovigilance: establishing a conceptual and methodological framework.European journal of clinical pharmacology · 2019
   Review
3. Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts.Drug safety · 2017
   Article
4. Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.PloS one · 2017
   Article
5. Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users.Substance abuse : research and treatment · 2017
   Article
6. Pharmacy students' knowledge and perceptions about adverse drug reactions reporting and pharmacovigilance.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2016
   Article
7. Social Media Listening for Routine Post-Marketing Safety Surveillance.Drug safety · 2016
   Article
8. Patient Participation and the Use of Ehealth Tools for Pharmacoviligance.Frontiers in pharmacology · 2016
   Review
9. Using VigiBase to Identify Substandard Medicines: Detection Capacity and Key Prerequisites.Drug safety · 2015
   Article
10. Computational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworks.Drug safety · 2015
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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