Evidence map›Paper›PMID 30687136›Full record

ReviewFrontiers in psychiatry2018

Antipsychotic Drug Responsiveness and Dopamine Receptor Signaling; Old Players and New Prospects.

Antonio Rampino, Aleksandra Marakhovskaia, Tiago Soares-Silva, Silvia Torretta, Federica Veneziani, Jean Martin Beaulieu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
8.6field-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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Antonio RampinoDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Aleksandra MarakhovskaiaDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Tiago Soares-SilvaDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Silvia TorrettaDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Federica VenezianiDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Jean Martin BeaulieuDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
University of Toronto · CAUniversity of Bari Aldo Moro · ITAzienda Universitaria Ospedaliera Consorziale - Policlinico Bari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antipsychotic drugs targeting dopamine neurotransmission are still the principal mean of therapeutic intervention for schizophrenia. However, about one third of people do not respond to dopaminergic antipsychotics. Genome wide association studies (GWAS), have shown that multiple genetic factors play a role in schizophrenia pathophysiology. Most of these schizophrenia risk variants are not related to dopamine or antipsychotic drugs mechanism of action. Genetic factors have also been implicated in defining response to antipsychotic medication. In contrast to disease risk, variation of genes coding for molecular targets of antipsychotics have been associated with treatment response. Among genes implicated, those involved in dopamine signaling mediated by D2-class dopamine receptor, including

Indexed as

antipsychotic agentsdopaminegenetic variantsrisk factorsschizophrenia therapy

Identifiers

PMID30687136
PMCPMC6338030
OpenAlexW2910479054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.