Evidence map›Paper›PMID 20159346›Full record

ReviewThe Psychiatric clinics of North America2010

The promise and reality of pharmacogenetics in psychiatry.

Peter P Zandi, Jennifer T Judy

Open access · greenAbstract readReview
In one paragraph

Review in The Psychiatric clinics of North America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Genome-wide pharmacogenomic study of neurocognition as an indicator of antipsychotic treatment response in schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2011
    Article
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.

Peter P ZandiDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Hampton House, Baltimore, MD 21205, USA. pzandi@jhsph.edu
Jennifer T Judy
Johns Hopkins University · US

Funding

PSYCHIATRIC EPIDEMIOLOGY TRAINING PROGRAMT32MH014592 · NIMH · JOHNS HOPKINS UNIVERSITY · PI HEATHER E VOLK, Peter P. Zandi · 1985 to 2026
$8.5M
BIOINFORMATICS TO DISCOVER GENES IN PSYCHIATRIC ILLNESSK01MH072866 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ZANDI, PETER P. · 2005 to 2009
$724k
NIMH NIH HHS K01 MH072866NIMH NIH HHS T32 MH014592NIMH NIH HHS T32-MH14592
6 · The paper itself

Abstract

Existing psychotropic medications for the treatment of mental illnesses, including antidepressants, mood stabilizers, and antipsychotics, are clinically suboptimal. They are effective in only a subset of patients or produce partial responses, and they are often associated with debilitating side effects that discourage adherence. There is growing enthusiasm in the promise of pharmacogenetics to personalize the use of these treatments to maximize their efficacy and tolerability; however, there is still a long way to go before this promise becomes a reality. This article reviews the progress that has been made in research toward understanding how genetic factors influence psychotropic drug responses and the challenges that lie ahead in translating the research findings into clinical practices that yield tangible benefits for patients with mental illnesses.

Indexed as

Antidepressive AgentsGenome-Wide Association StudyHumansMental DisordersPharmacogeneticsPsychiatryAntidepressive Agents

Identifiers

PMID20159346
PMCPMC3178049
OpenAlexW2080040007

What OpenQuestion holds

Textmetadata
LicenceTDM
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.