Evidence map›Paper›PMID 23315292›Full record

ArticleDrug safety2013

A reference standard for evaluation of methods for drug safety signal detection using electronic healthcare record databases.

Preciosa M Coloma, Paul Avillach, Francesco Salvo, Martijn J Schuemie, Carmen Ferrajolo, Antoine Pariente, Annie Fourrier-Réglat, Mariam Molokhia, Vaishali Patadia, Johan van der Lei and 2 more

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In one paragraph

Article in Drug safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 2% of its field
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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
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  10. A review ofAmerican journal of translational research · 2024
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  17. Hierarchy-aware Adverse Reaction Embeddings for Signal Detection.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
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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

12 authors at 8 institutions in 6 countries.

Preciosa M ColomaDepartment of Medical Informatics, Erasmus Medical Center, Postbus 2040, 3000, CA, Rotterdam, The Netherlands. p.coloma@erasmusmc.nl
Paul Avillach
Francesco Salvo
Martijn J Schuemie
Carmen Ferrajolo
Antoine Pariente
Annie Fourrier-Réglat
Mariam Molokhia
Vaishali Patadia
Johan van der Lei
Miriam Sturkenboom
Gianluca Trifirò
Erasmus MC · NLErasmus University Rotterdam · NLAix-Marseille Université · FRAstellas Pharma (Japan) · JPBordeaux Population Health · FRCentre Hospitalier Universitaire de Bordeaux · FRKing's College London · GBUniversité de Bordeaux · FR

Funding

Department of Health PDA/02/06/056
6 · The paper itself

Abstract

backgroundThe growing interest in using electronic healthcare record (EHR) databases for drug safety surveillance has spurred development of new methodologies for signal detection. Although several drugs have been withdrawn postmarketing by regulatory authorities after scientific evaluation of harms and benefits, there is no definitive list of confirmed signals (i.e. list of all known adverse reactions and which drugs can cause them). As there is no true gold standard, prospective evaluation of signal detection methods remains a challenge.

objectiveWithin the context of methods development and evaluation in the EU-ADR Project (Exploring and Understanding Adverse Drug Reactions by integrative mining of clinical records and biomedical knowledge), we propose a surrogate reference standard of drug-adverse event associations based on existing scientific literature and expert opinion.

methodsThe reference standard was constructed for ten top-ranked events judged as important in pharmacovigilance. A stepwise approach was employed to identify which, among a list of drug-event associations, are well recognized (known positive associations) or highly unlikely ('negative controls') based on MEDLINE-indexed publications, drug product labels, spontaneous reports made to the WHO's pharmacovigilance database, and expert opinion. Only drugs with adequate exposure in the EU-ADR database network (comprising ≈60 million person-years of healthcare data) to allow detection of an association were considered. Manual verification of positive associations and negative controls was independently performed by two experts proficient in clinical medicine, pharmacoepidemiology and pharmacovigilance. A third expert adjudicated equivocal cases and arbitrated any disagreement between evaluators.

resultsOverall, 94 drug-event associations comprised the reference standard, which included 44 positive associations and 50 negative controls for the ten events of interest: bullous eruptions; acute renal failure; anaphylactic shock; acute myocardial infarction; rhabdomyolysis; aplastic anaemia/pancytopenia; neutropenia/agranulocytosis; cardiac valve fibrosis; acute liver injury; and upper gastrointestinal bleeding. For cardiac valve fibrosis, there was no drug with adequate exposure in the database network that satisfied the criteria for a positive association.

conclusionA strategy for the construction of a reference standard to evaluate signal detection methods that use EHR has been proposed. The resulting reference standard is by no means definitive, however, and should be seen as dynamic. As knowledge on drug safety evolves over time and new issues in drug safety arise, this reference standard can be re-evaluated.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsDatabases, FactualElectronic Health RecordsHumansPharmacovigilanceProduct Surveillance, PostmarketingReference Standards

Identifiers

PMID23315292
OpenAlexW2027838470

What OpenQuestion holds

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Registered trials

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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.