Evidence map›Paper›PMID 33041820›Full record

ReviewFrontiers in pharmacology2020

Pharmacogenetics in Psychiatry: An Update on Clinical Usability.

Ron H N van Schaik, Daniel J Müller, Alessandro Serretti, Magnus Ingelman-Sundberg

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Analysis ofIranian journal of medical sciences · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Polygenic liability for antipsychotic dosage and polypharmacy - a real-world registry and biobank study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Illness Phase as a Key Assessment and Intervention Window for Psychosis.Biological psychiatry global open science · 2023
    Review
  14. Review
  15. Precision Medicine in Antidepressants Treatment.Handbook of experimental pharmacology · 2023
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors.

Ron H N van SchaikDepartment of Clinical Chemistry, Erasmus MC, University Medical Center, Rotterdam, Netherlands.
Daniel J MüllerPharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Alessandro SerrettiDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Magnus Ingelman-SundbergPharmacogenetics Section, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using pharmacogenetics in guiding drug therapy experiences a steady increase in uptake, although still leads to discussions as to its clinical use. Psychiatry constitutes a field where pharmacogenomic testing might help in guiding drug therapy. To address current challenges, this minireview provides an update regarding genotyping (SNP analysis/arrays/NGS), structural variant detection (star-alleles/CNVs/hybrid alleles), genotype-to-phenotype translations, cost-effectiveness, and actionability of results (FDA/CPIC/PharmGKB) regarding clinical importance of pre-emptive pharmacogenomic testing for prescription of antidepressants and antipsychotics.

Indexed as

antidepressantCYP2C19CYP2D6cytochrome P450depressionpharmacogeneticspsychiatry

Identifiers

PMID33041820
PMCPMC7518035

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.