Evidence map›Paper›PMID 20135894›Full record

ReviewDialogues in clinical neuroscience2009

The intersection of pharmacology, imaging, and genetics in the development of personalized medicine.

Philip Gerretsen, Daniel J Müller, Arun Tiwari, David Mamo, Bruce G Pollock

Abstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Perceptions of genetic testing and genomic medicine among drug users.The International journal on drug policy · 2015
    Article
  11. Personalized therapies in psychiatry: promises, pitfalls and perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2015
    Article
  12. Review
  13. Article
  14. Pharmacokinetic/ pharmacodynamic-driven drug development.The Mount Sinai journal of medicine, New York
    Review
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

5 authors.

Philip GerretsenCentre for Addiction and Mental Health, University of Toronto, Canada.
Daniel J Müller
Arun Tiwari
David Mamo
Bruce G Pollock

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We currently rely on large randomized controlled trials and meta-analyses to make clinical decisions; this places us at a risk of discarding subgroup or individually specific treatment options owing to their failure to prove efficacious across entire populations. There is a new era emerging in personalized medicine that will focus on individual differences that are not evident phenomenologically. Much research is directed towards identifying genes, endophenotypes, and biomarkers of disease that will facilitate diagnosis and predict treatment outcome. We are at the threshold of being able to predict treatment response, primarily through genetics and neuroimaging. In this review we discuss the most promising markers of treatment response and adverse effects emerging from the areas of pharmacogenetics and neuroimaging in depression and schizophrenia.

Indexed as

DepressionDiagnostic ImagingPharmacogeneticsSchizophreniaAnimalsAntipsychotic AgentsHumansMeta-Analysis as TopicPrecision MedicineAntipsychotic Agents

Identifiers

PMID20135894
PMCPMC3181934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.