Evidence map›Paper›PMID 38399298›Full record

ReviewPharmaceutics2024

Clinical Utility and Implementation of Pharmacogenomics for the Personalisation of Antipsychotic Treatments.

Marta Hernandez, Natalia Cullell, Marc Cendros, Alexandre Serra-Llovich, Maria J Arranz

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Effect ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
  6. 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

5 authors.

Marta HernandezPHAGEX Research Group, University Ramon Llull, 08022 Barcelona, Spain.ORCID 0000-0002-6983-413X
Natalia CullellFundació Docència i Recerca Mútua Terrassa, 08221 Terrassa, Spain.
Marc CendrosEUGENOMIC Genómica y Farmacogenética, 08029 Barcelona, Spain.ORCID 0000-0002-6648-922X
Alexandre Serra-LlovichFundació Docència i Recerca Mútua Terrassa, 08221 Terrassa, Spain.ORCID 0000-0001-8318-851X
Maria J ArranzPHAGEX Research Group, University Ramon Llull, 08022 Barcelona, Spain.ORCID 0000-0002-6757-9198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decades of pharmacogenetic research have revealed genetic biomarkers of clinical response to antipsychotics. Genetic variants in antipsychotic targets, dopamine and serotonin receptors in particular, and in metabolic enzymes have been associated with the efficacy and toxicity of antipsychotic treatments. However, genetic prediction of antipsychotic response based on these biomarkers is far from accurate. Despite the clinical validity of these findings, the clinical utility remains unclear. Nevertheless, genetic information on CYP metabolic enzymes responsible for the biotransformation of most commercially available antipsychotics has proven to be effective for the personalisation of clinical dosing, resulting in a reduction of induced side effects and in an increase in efficacy. However, pharmacogenetic information is rarely used in psychiatric settings as a prescription aid. Lack of studies on cost-effectiveness, absence of clinical guidelines based on pharmacogenetic biomarkers for several commonly used antipsychotics, the cost of genetic testing and the delay in results delivery hamper the implementation of pharmacogenetic interventions in clinical settings. This narrative review will comment on the existing pharmacogenetic information, the clinical utility of pharmacogenetic findings, and their current and future implementations.

Indexed as

antipsychoticsclinical implementationgenetic testingpharmacogeneticspharmacogenomics

Identifiers

PMID38399298
PMCPMC10893329

What Socratic 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 Socratic graph.