Evidence map›Paper›PMID 36042420›Full record

SynthesisBMC psychiatry2022

Pharmacogenomic biomarkers as source of evidence of the effectiveness and safety of antidepressant therapy.

Catarina Correia, Luciano Alcobia, Manuel José Lopes, Ana Margarida Advinha

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Catarina CorreiaFaculty of Sciences and Technology, University of Algarve, Universidade Do Algarve - Campus de Gambelas, Edifício 8, 8005-139, Faro, Portugal.
Luciano AlcobiaFaculty of Sciences and Technology, University of Algarve, Universidade Do Algarve - Campus de Gambelas, Edifício 8, 8005-139, Faro, Portugal.
Manuel José LopesCHRC - Comprehensive Health Research Centre, University of Evora, Largo do Sr. da Pobreza, 2B, 7000-811, Évora, Portugal.
Ana Margarida AdvinhaCHRC - Comprehensive Health Research Centre, University of Evora, Largo do Sr. da Pobreza, 2B, 7000-811, Évora, Portugal. anamma@uevora.pt.
University of Algarve · PTUniversity of Évora · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main goal of this work was to identify, describe, characterize, and classify the scientific evidence regarding the use of pharmacogenomic biomarkers in antidepressant treatment.

methodsThe work was developed in two phases: i) a search for pharmacogenomic biomarkers in summaries of antidepressant drugs with marketing authorization in Portugal; and ii) a systematic literature review based on the data obtained in the first phase, with the main objective of finding international literature that could describe and characterize previously reported biomarkers and identify other relevant biomarkers. Finally, the levels of evidence and recommendation grades were classified.

resultsAmong the 26 drugs with marketing authorization in Portugal, only 16 had pharmacogenomic information. The most widely studied pharmacogenomic biomarker was CYP2D6. These results were mostly supported by the systematic literature review, which yielded 103 papers, 63 of which were ultimately included in the review. The systematic literature review also revealed the existence of other relevant biomarkers. Most of the included studies show a good level of evidence, which guarantees reliability and good recommendation grades. For the database (built during phase i), the results were informative but resulted in no specific recommendations.

conclusionsMost pharmacogenomic variants are not studied or acknowledged by genetic tests, and more scientific research is needed to confirm their usefulness. Therefore, only a small number of variants are considered when prescribing antidepressant drugs. In addition, genotyping of patients is not common in clinical practice.

Indexed as

Antidepressive AgentsPharmacogeneticsBiomarkersGenetic TestingHumansReproducibility of ResultsAntidepressive AgentsBiomarkersAntidepressantsBiomarkersDepressionPharmacogenomicPharmacotherapy

Identifiers

PMID36042420
PMCPMC9425945
OpenAlexW4293537842

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.