Evidence map›Paper›PMID 36039146›Full record

ArticleThe Lancet regional health. Europe2022

The psychosis metabolic risk calculator (PsyMetRiC) for young people with psychosis: International external validation and site-specific recalibration in two independent European samples.

Benjamin I Perry, Frederik Vandenberghe, Nathalia Garrido-Torres, Emanuele F Osimo, Marianna Piras, Javier Vazquez-Bourgon, Rachel Upthegrove, Claire Grosu, Victor Ortiz-Garcia De La Foz, Peter B Jones and 17 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Metabolic syndrome risk prediction in an Australian sample with first-episode psychosis using the psychosis metabolic risk calculator: A validation study.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2025
    Article
  8. Article
  9. Article
  10. 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

27 authors.

Benjamin I PerryDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Frederik VandenbergheUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Nathalia Garrido-TorresVirgen del Rocío University Hospital, Network Centre for Biomedical Research in Mental Health (CIBERSAM), Institute of Biomedicine of Seville (IBiS), University of Seville, First-episode Psychosis Research Network of Andalusia (Red PEPSur), Spain.
Emanuele F OsimoDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Marianna PirasUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Javier Vazquez-BourgonVirgen del Rocío University Hospital, Network Centre for Biomedical Research in Mental Health (CIBERSAM), Institute of Biomedicine of Seville (IBiS), University of Seville, First-episode Psychosis Research Network of Andalusia (Red PEPSur), Spain.
Rachel UpthegroveInstitute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, England, United Kingdom.
Claire GrosuUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Victor Ortiz-Garcia De La FozDepartment of Psychiatry, Marques de Valdecilla University Hospital, Institute of Biomedicine Marqués de Valdecilla (IDIVAL), Universidad de Cantabria, Santander, Spain.
Peter B JonesDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Nermine LaaboubUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Miguel Ruiz-VeguillaVirgen del Rocío University Hospital, Network Centre for Biomedical Research in Mental Health (CIBERSAM), Institute of Biomedicine of Seville (IBiS), University of Seville, First-episode Psychosis Research Network of Andalusia (Red PEPSur), Spain.
Jan StochlDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Celine DubathUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Manuel Canal-RiveroVirgen del Rocío University Hospital, Network Centre for Biomedical Research in Mental Health (CIBERSAM), Institute of Biomedicine of Seville (IBiS), University of Seville, First-episode Psychosis Research Network of Andalusia (Red PEPSur), Spain.
Pavan MallikarjunInstitute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, England, United Kingdom.
Aurélie DelacrétazUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Nicolas AnsermotUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Emilio Fernandez-EgeaDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Severine CrettolUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Franziska GammaLes Toises Psychiatry and Psychotherapy Centre, Lausanne, Switzerland.
Kerstin J PlessenService of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Philippe ConusService of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Golam M KhandakerDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Graham K MurrayDepartment of Psychiatry, University of Cambridge, Cambridge, England, United Kingdom.
Chin B EapUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
Benedicto Crespo-FacorroVirgen del Rocío University Hospital, Network Centre for Biomedical Research in Mental Health (CIBERSAM), Institute of Biomedicine of Seville (IBiS), University of Seville, First-episode Psychosis Research Network of Andalusia (Red PEPSur), Spain.

Funding

Medical Research Council MC_PC_17213Medical Research Council MR/S037675/1Wellcome Trust
6 · The paper itself

Abstract

Background: Cardiometabolic dysfunction is common in young people with psychosis. Recently, the Psychosis Metabolic Risk Calculator (PsyMetRiC) was developed and externally validated in the UK, predicting up-to six-year risk of metabolic syndrome (MetS) from routinely collected data. The full-model includes age, sex, ethnicity, body-mass index, smoking status, prescription of metabolically-active antipsychotic medication, high-density lipoprotein, and triglyceride concentrations; the partial-model excludes biochemical predictors. Methods: To move toward a future internationally-useful tool, we externally validated PsyMetRiC in two independent European samples. We used data from the PsyMetab (Lausanne, Switzerland) and PAFIP (Cantabria, Spain) cohorts, including participants aged 16-35y without MetS at baseline who had 1-6y follow-up. Predictive performance was assessed primarily via discrimination (C-statistic), calibration (calibration plots), and decision curve analysis. Site-specific recalibration was considered. Findings: We included 1024 participants (PsyMetab Interpretation: The study provides evidence of PsyMetRiC's generalizability in Western Europe, although further local and international validation studies are required. In future, PsyMetRiC could help clinicians internationally to identify young people with psychosis who are at higher cardiometabolic risk, so interventions can be directed effectively to reduce long-term morbidity and mortality. Funding: NIHR Cambridge Biomedical Research Centre (BRC-1215-20014); The Wellcome Trust (201486/Z/16/Z); Swiss National Research Foundation (320030-120686, 324730- 144064, and 320030-173211); The Carlos III Health Institute (CM20/00015, FIS00/3095, PI020499, PI050427, and PI060507); IDIVAL (INT/A21/10 and INT/A20/04); The Andalusian Regional Government (A1-0055-2020 and A1-0005-2021); SENY Fundacion Research (2005-0308007); Fundacion Marques de Valdecilla (A/02/07, API07/011); Ministry of Economy and Competitiveness and the European Fund for Regional Development (SAF2016-76046-R and SAF2013-46292-R).For the Spanish and French translation of the abstract see Supplementary Materials section.

Indexed as

Early InterventionInternational ValidationMetabolic SyndromePAFIPPsychosisPsyMetabRisk Prediction Algorithm

Identifiers

PMID36039146
PMCPMC9418905

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.