Evidence map›Paper›PMID 29270770›Full record

ArticleDrug safety2018

Adverse Drug Reaction Reports Received Through the Mobile App, VigiBIP

François Montastruc, Haleh Bagheri, Isabelle Lacroix, Christine Damase-Michel, Leila Chebane, Vanessa Rousseau, Emilie Jouanjus, Maryse Lapeyre-Mestre, Geneviève Durrieu, Jean-Louis Montastruc

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Drug safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

10 authors.

François MontastrucService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Haleh BagheriService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Isabelle LacroixService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Christine Damase-MichelService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Leila ChebaneService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Vanessa RousseauService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Emilie JouanjusService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Maryse Lapeyre-MestreService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Geneviève DurrieuService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Jean-Louis MontastrucService de Pharmacologie Médicale et Clinique, Centre de PharmacoVigilance, de Pharmacoépidémiologie et d'Informations sur le Médicament, Pharmacopôle, INSERM UMR 1027, CIC INSERM 1436, Faculté de Médecine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France. jean-louis.montastruc@univ-tlse3.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of mobile apps is increasing in medicine. In pharmacovigilance, mobile apps may help to increase adverse drug reaction reporting and improve the communication of safety issues. The Toulouse University Pharmacovigilance Center has developed VigiBIP

objectiveThe present study was performed to compare the main characteristics of spontaneous adverse drug reaction reports received through VigiBIP

methodsUsing the Chi squared test, we compared the type of reporter, adverse drug reaction seriousness, drugs involved and reported ADRs using VigiBIP

conclusionOur study shows that a mobile app is an additional tool used in pharmacovigilance. Types of reporters and adverse drug reactions in VigiBIP were different to those seen in classical methods of reporting.

Indexed as

Adverse Drug Reaction Reporting SystemsDatabases, FactualDrug-Related Side Effects and Adverse ReactionsFemaleHealth PersonnelHumansMaleMobile ApplicationsPharmacovigilance

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.