Evidence map›Paper›PMID 23377696›Full record

ReviewDrug safety2013

Postmarketing safety surveillance : where does signal detection using electronic healthcare records fit into the big picture?

Preciosa M Coloma, Gianluca Trifirò, Vaishali Patadia, Miriam Sturkenboom

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  7. Article
  8. Editorial: Traditional and innovative approaches for signal detection.Frontiers in drug safety and regulation · 2024
    Article
  9. A real-world pharmacovigilance study of abaloparatide based on the FDA Adverse Event Reporting System (FAERS).Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Hierarchy-aware Adverse Reaction Embeddings for Signal Detection.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
    Article
  15. Observational
  16. Article
  17. Serious bradycardia and remdesivir for coronavirus 2019 (COVID-19): a new safety concerns.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Article
  18. Article
  19. Review
  20. 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

4 authors.

Preciosa M ColomaEe-2116, Department of Medical Informatics, Erasmus Medical Centre, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. p.coloma@erasmusmc.nl
Gianluca Trifirò
Vaishali Patadia
Miriam Sturkenboom

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The safety profile of a drug evolves over its lifetime on the market; there are bound to be changes in the circumstances of a drug's clinical use which may give rise to previously unobserved adverse effects, hence necessitating surveillance postmarketing. Postmarketing surveillance has traditionally been carried out by systematic manual review of spontaneous reports of adverse drug reactions. Vast improvements in computing capabilities have provided opportunities to automate signal detection, and several worldwide initiatives are exploring new approaches to facilitate earlier detection, primarily through mining of routinely-collected data from electronic healthcare records (EHR). This paper provides an overview of ongoing initiatives exploring data from EHR for signal detection vis-à-vis established spontaneous reporting systems (SRS). We describe the role SRS has played in regulatory decision making with respect to safety issues, and evaluate the potential added value of EHR-based signal detection systems to the current practice of drug surveillance. Safety signal detection is both an iterative and dynamic process. It is in the best interest of public health to integrate and understand evidence from all possibly relevant information sources on drug safety. Proper evaluation and communication of potential signals identified remains an imperative and should accompany any signal detection activity.

Indexed as

PharmacovigilanceProduct Surveillance, PostmarketingAdverse Drug Reaction Reporting SystemsDatabases, FactualData MiningDelivery of Health CareDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.