Evidence map›Paper›PMID 30929141›Full record

ArticleDrug safety2019

Establishing a Framework for the Use of Social Media in Pharmacovigilance in Europe.

Sabine Brosch, Anne-Marie de Ferran, Victoria Newbould, Diane Farkas, Marina Lengsavath, Phil Tregunno

Abstract read
In one paragraph

Article in Drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Pharmacovigilance in the digital age: gaining insight from social media data.Experimental biology and medicine (Maywood, N.J.) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Medicine packaging pictograms in the context of the electronic product information (ePI) proposal.European journal of hospital pharmacy : science and practice · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

6 authors.

Sabine BroschSurveillance and Epidemiology Services, Pharmacovigilance and Epidemiology Department, European Medicines Agency (EMA), 30 Churchill Place, Canary Wharf, London, E14 5EU, UK. sabine.brosch@ema.europa.eu.
Anne-Marie de FerranSanofi, 1, Avenue Pierre Brossolette, 91385, Chilly-Mazarin Cedex, France.
Victoria NewbouldSurveillance and Epidemiology Services, Pharmacovigilance and Epidemiology Department, European Medicines Agency (EMA), 30 Churchill Place, Canary Wharf, London, E14 5EU, UK.
Diane FarkasSanofi, 1, Avenue Pierre Brossolette, 91385, Chilly-Mazarin Cedex, France.
Marina LengsavathSanofi, 1, Avenue Pierre Brossolette, 91385, Chilly-Mazarin Cedex, France.
Phil TregunnoMedicines and Healthcare products Regulatory Agency, 10 South Colonnade, Canary Wharf, London, E14 4PU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Innovative Medicines Initiative (IMI) WEB-RADR (Web-Recognising Adverse Drug Reactions) project looked at opportunities and challenges in using social media in pharmacovigilance as a rapidly evolving source of large, real-time data, which could provide new information on the actual use of medicines and potential safety issues. Two of the objectives were to develop principles for continuous monitoring of the safety of medicines without overburdening established pharmacovigilance systems and to propose a regulatory framework on the use of social media in pharmacovigilance. As a starting point, a review of existing legal requirements and regulatory guidance on social media use in pharmacovigilance was performed based on a survey conducted in 2014-2015. Furthermore, input from two large stakeholder workshops and evidence gathered from the research performed by WEB-RADR on the analysis of social media data were taken into consideration. Whilst analytical results of WEB-RADR indicated limited value of social media in detecting or confirming signals for a majority of the drugs studied, it is important to establish a regulatory framework for the use of social media in pharmacovigilance. Thus, the screening and reporting of suspected adverse reactions remains an important pillar in monitoring the safety and efficacy of medicines and the identification of new safety issues. Principles as to how social media can be used in pharmacovigilance are absolutely needed to provide clarity to patients, healthcare professionals, medicines regulators and the pharmaceutical industry.

Indexed as

Adverse Drug Reaction Reporting SystemsEuropeHumansPharmacovigilanceSocial Media

Identifiers

PMID30929141
PMCPMC6647461

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.