Evidence map›Paper›PMID 39635766›Full record

ArticleBJPsych open2024

Lipid disturbances induced by psychotropic drugs: clinical and genetic predictors for early worsening of lipid levels and new-onset dyslipidaemia in Swiss psychiatric samples.

Aurélie Delacrétaz, Marie Sadler, Franziska Gamma, Martin Preisig, Hélène Richard-Lepouriel, Armin von Gunten, Philippe Conus, Kerstin Jessica Plessen, Zoltan Kutalik, Chin B Eap

Abstract read
In one paragraph

Article in BJPsych open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Aurélie DelacrétazUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland; and Les Toises Psychiatry and Psychotherapy Center, Lausanne, Switzerland.ORCID https://orcid.org/0009-0006-9471-3168
Marie SadlerSwiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland; and Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Franziska GammaLes Toises Psychiatry and Psychotherapy Center, Lausanne, Switzerland.
Martin PreisigCenter for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Hélène Richard-LepourielUnit of Mood Disorders, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland.
Armin von GuntenService of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland.
Philippe ConusService of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland.
Kerstin Jessica PlessenDivision of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Zoltan KutalikSwiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland; and Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Chin B EapUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland; Center for Research and Innovation in Clinical Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland; and Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly worsening of plasma lipid levels (EWL; ≥5% change after 1 month) induced by at-risk psychotropic treatments predicts considerable exacerbation of plasma lipid levels and/or dyslipidaemia development in the longer term.

aimsWe aimed to determine which clinical and genetic risk factors could predict EWL.

methodPredictive values of baseline clinical characteristics and dyslipidaemia-associated single nucleotide polymorphisms (SNPs) on EWL were evaluated in a discovery sample (

resultsLow baseline levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C) and triglycerides, and high baseline levels of high-density lipoprotein cholesterol (HDL-C), were risk factors for early increase in total cholesterol (

conclusionsClinical and genetic factors contributed to the prediction of EWL and new-onset dyslipidaemia in three samples of patients who started at-risk psychotropic treatments. Future larger studies should be conducted to refine SNP estimates to be integrated into clinically applicable predictive models.

Indexed as

antidepressantsAntipsychoticsgeneticslongitudinal datarisk assessment

Identifiers

PMID39635766
PMCPMC11698187

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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.