Evidence map›Paper›PMID 29589131›Full record

ReviewCurrent psychiatry reports2018

Recent Progress in Pharmacogenomics of Antipsychotic Drug Response.

Jian-Ping Zhang, Anil K Malhotra

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  9. Identification ofFrontiers in pharmacology · 2021
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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

2 authors at 1 institution in 1 country.

Jian-Ping ZhangDepartment of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA. jzhang1@northwell.edu.
Anil K MalhotraDepartment of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA. amalhotra@northwell.edu.
Hofstra University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewPharmacogenomics (PGx) of antipsychotic drug response is an active area of research in the past few years. We reviewed recent PGx studies with an emphasis of development of new methodologies and new research directions. RECENT

findingsTraditional candidate gene approach continues to generate evidence to support the associations of antipsychotic response with genes coding for drug targets such as DRD2. Genome-wide association studies have found a few novel genes that may be associated with drug efficacy and adverse events. Recent application of polygenic risk score makes it possible to combine many genetic variants to predict clinical response. Finally, epigenetic research including DNA methylation is emerging and promises new findings that potentially can be applied in clinical practice. New methodologies may advance PGx closer to clinical application. Multiple genes and epigenomic markers can be used in prediction of clinical phenotypes.

Indexed as

PharmacogeneticsAntipsychotic AgentsGenome-Wide Association StudyHumansMolecular Targeted TherapyMultifactorial InheritancePhenotypePsychotic DisordersSchizophreniaAntipsychotic AgentsAdverse reactionsAntipsychoticsPharmacogenomicsSchizophreniaTreatment response

Identifiers

PMID29589131
OpenAlexW2795028552

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.