Evidence map›Paper›PMID 27687785›Full record

ArticleBritish journal of clinical pharmacology2017

An original pharmacoepidemiological-pharmacodynamic method: application to antipsychotic-induced movement disorders.

Thi Thu Ha Nguyen, Antoine Pariente, Jean-Louis Montastruc, Maryse Lapeyre-Mestre, Vanessa Rousseau, Olivier Rascol, Bernard Bégaud, François Montastruc

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

Thi Thu Ha NguyenService de Pharmacologie Médicale et Clinique, Faculté de Médecine de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Antoine ParienteDépartement de Pharmacologie Médicale, INSERM, U1219-Pharmacoepidemiology, Université de Bordeaux, F-33000, Bordeaux, France.
Jean-Louis MontastrucService de Pharmacologie Médicale et Clinique, Faculté de Médecine de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Maryse Lapeyre-MestreService de Pharmacologie Médicale et Clinique, Faculté de Médecine de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Vanessa RousseauService de Pharmacologie Médicale et Clinique, Faculté de Médecine de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Olivier RascolService de Pharmacologie Médicale et Clinique, Faculté de Médecine de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Bernard BégaudDépartement de Pharmacologie Médicale, INSERM, U1219-Pharmacoepidemiology, Université de Bordeaux, F-33000, Bordeaux, France.
François MontastrucService de Pharmacologie Médicale et Clinique, Faculté de Médecine de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPharmacovigilance databases are usually used to detect new potential signals that are relevant for drug safety. They are seldom used for explanatory purposes, e.g. to understand the mechanisms of adverse drug reactions (ADRs). The aim of the present study was to combine pharmacovigilance and pharmacodynamic data to investigate the association between dopamine D2, serotonin 5HT2A, and muscarinic M1 receptor occupancy and the risks of antipsychotic drug (AP)-induced movement disorders.

methodsFirst, we performed a case-noncase analysis using spontaneous reports from the World Health Organization (WHO) Global Individual Case Safety Report (ICSR) database, VigiBase®. We thus measured the risk of reporting movement disorders compared with all other ADRs [expressed as a reporting odds ratio (ROR)] for APs. Second, we performed a linear regression analysis to explore the association between the estimated risk of reporting for individual drugs and their receptor occupancy properties, for D2, 5HT2A and M1 receptors.

resultsCompared with second-generation APs, first-generation APs were found to be significantly more associated with the reporting of movement disorders in general but also with dystonia, Parkinsonism, akathisia and tardive dyskinesia, irrespective of gender. A significant inverse correlation was found between the ROR for movement disorders and the receptor occupancy of 5HT2A [P < 0.001; R

conclusionsUsing the example of AP-induced movement disorders, the present study underlines the value of the pharmacoepidemiological-pharmacodynamic method to explore ADR mechanisms in humans and real-life settings.

Indexed as

PharmacovigilanceAdverse Drug Reaction Reporting SystemsAntipsychotic AgentsDopamine D2 Receptor AntagonistsDyskinesia, Drug-InducedHumansMuscarinic AntagonistsPharmacoepidemiologySerotonin 5-HT2 Receptor AntagonistsWorld Health OrganizationAntipsychotic AgentsDopamine D2 Receptor AntagonistsMuscarinic AntagonistsSerotonin 5-HT2 Receptor Antagonistsantipsychotic drugsdrug mechanismsmovement disorderspharmacoepidemiologyVigiBase

Identifiers

PMID27687785
PMCPMC5306476

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.