Evidence map›Paper›PMID 36424701›Full record

ArticleCPT: pharmacometrics & systems pharmacology2023

Delineating gene-environment effects using virtual twins of patients treated with clozapine.

Sam Mostafa, Thomas M Polasek, Chad Bousman, Amin Rostami-Hodjegan, Leslie J Sheffield, Ian Everall, Christos Pantelis, Carl M J Kirkpatrick

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Review
  5. Article
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  11. Article
  12. Article
  13. Virtual twin for healthcare management.Frontiers in digital health · 2023
    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

8 authors at 5 institutions in 4 countries.

Sam MostafaCentre for Medicine Use and Safety, Monash University, Victoria, Parkville, Australia.
Thomas M PolasekCentre for Medicine Use and Safety, Monash University, Victoria, Parkville, Australia.
Chad BousmanMelbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Victoria, Melbourne, Australia.
Amin Rostami-HodjeganCentre for Applied Pharmacokinetic Research (CAPKR), School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0003-3917-844X
Leslie J SheffieldMyDNA Life, Australia Limited, Victoria, South Yarra, Australia.
Ian EverallMelbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Victoria, Melbourne, Australia.
Christos PantelisMelbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Victoria, Melbourne, Australia.
Carl M J KirkpatrickCentre for Medicine Use and Safety, Monash University, Victoria, Parkville, Australia.
The University of Melbourne · AUYarra Valley Water (Australia) · AUManchester Academic Health Science Centre · GBMonash University · AURoyal Adelaide Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies that focus on individual covariates, while ignoring their interactions, may not be adequate for model-informed precision dosing (MIPD) in any given patient. Genetic variations that influence protein synthesis should be studied in conjunction with environmental covariates, such as cigarette smoking. The aim of this study was to build virtual twins (VTs) of real patients receiving clozapine with interacting covariates related to genetics and environment and to delineate the impact of interacting covariates on predicted clozapine plasma concentrations. Clozapine-treated patients with schizophrenia (N = 42) with observed clozapine plasma concentrations, demographic, environmental, and genotype data were used to construct VTs in Simcyp. The effect of increased covariate virtualization was assessed by performing simulations under three conditions: "low" (demographic), "medium" (demographic and environmental interaction), and "high" (demographic and environmental/genotype interaction) covariate virtualization. Increasing covariate virtualization with interaction improved the coefficient of variation (R

Indexed as

Antipsychotic AgentsClozapineSchizophreniaGenotypeHumansAntipsychotic AgentsClozapine

Identifiers

PMID36424701
PMCPMC9931435
OpenAlexW4310082281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.