Evidence map›Paper›PMID 19236117›Full record

SynthesisDrug safety2009

Defining 'signal' and its subtypes in pharmacovigilance based on a systematic review of previous definitions.

Manfred Hauben, Jeffrey K Aronson

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Drug safety, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
–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

69 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Attribution as a Conditional Reasoning Step in Multifactorial Risk Analysis and Decision-Making.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Review
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

2 authors.

Manfred HaubenDepartment of Risk Management Strategy, Pfizer Inc., New York, New York 10017, USA. Manfred.Hauben@Pfizer.com
Jeffrey K Aronson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Having surveyed the etymology and previous definitions of the pharmacovigilance term 'signal', we propose a definition that embraces all the surveyed ideas, reflects real-world pharmacovigilance processes, and accommodates signals of both harmful and beneficial effects. The essential definitional features of a pharmacovigilance signal are (i) that it is based on one or more reports of an association between an intervention or interventions and an event or set of related events (e.g. a syndrome), including any type of evidence (clinical or experimental); (ii) that it represents an association that is new and important and has not been previously investigated and refuted; (iii) that it incites to action (verification and remedial action); (iv) that it does not encompass intervention-event associations that are not related to causality or risk with a specified degree of likelihood and scientific plausibility. Based on these features, we propose this definition of a signal of suspected causality: "information that arises from one or multiple sources (including observations and experiments), which suggests a new potentially causal association, or a new aspect of a known association, between an intervention and an event or set of related events, either adverse or beneficial, which would command regulatory, societal or clinical attention, and is judged to be of sufficient likelihood to justify verifiable and, when necessary, remedial actions." This defines an unverified signal; we have also defined term-- indeterminate, verified, and refuted signals--that qualify it in relation to verification. This definition and its accompanying flowchart should inform decision making in considering benefits and harms caused by pharmacological and nonpharmacological interventions.

Indexed as

Adverse Drug Reaction Reporting SystemsCausalityCommunicationElectronic Data ProcessingGovernment AgenciesHealth Systems AgenciesHumansTerminology as TopicUnited StatesUnited States Food and Drug AdministrationWorld Health Organization

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.