Evidence map›Paper›PMID 33215211›Full record

ArticleSchizophrenia bulletin2021

Predictive Performance of Exposome Score for Schizophrenia in the General Population.

Lotta-Katrin Pries, Gamze Erzin, Jim van Os, Margreet Ten Have, Ron de Graaf, Saskia van Dorsselaer, Maarten Bak, Bart P F Rutten, Sinan Guloksuz

Open access · hybridAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Stress, Environment and Early Psychosis.Current neuropharmacology · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Exposome and Trans-syndromal Developmental Trajectories Toward Psychosis.Biological psychiatry global open science · 2022
    Review
  19. Article
  20. Review
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

9 authors at 5 institutions in 4 countries.

Lotta-Katrin PriesDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Gamze ErzinDepartment of Psychiatry, Ankara Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey.
Jim van OsDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Margreet Ten HaveDepartment of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.
Ron de GraafDepartment of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.
Saskia van DorsselaerDepartment of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.
Maarten BakDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Bart P F RuttenDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Sinan GuloksuzDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Maastricht University · NLTrimbos Institute · NLDışkapı Yıldırım Beyazıt Eğitim ve Araştırma Hastanesi · TRKing's College London · GBYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, we established an estimated exposome score for schizophrenia (ES-SCZ) as a cumulative measure of environmental liability for schizophrenia to use in gene-environment interaction studies and for risk stratification in population cohorts. Hereby, we examined the discriminative function of ES-SCZ for identifying individuals diagnosed with schizophrenia spectrum disorder in the general population by measuring the area under the receiver operating characteristic curve (AUC). Furthermore, we compared this ES-SCZ method to an environmental sum score (Esum-SCZ) and an aggregate environmental score weighted by the meta-analytical estimates (Emet-SCZ). We also estimated ORs and Nagelkerke's R2 for ES-SCZ in association with psychiatric diagnoses and other medical outcomes. ES-SCZ showed a good discriminative function (AUC = 0.84) and statistically significantly performed better than both Esum-SCZ (AUC = 0.80) and Emet-SCZ (AUC = 0.80). At optimal cut point, ES-SCZ showed similar performance in ruling out (LR- = 0.20) and ruling in (LR+ = 3.86) schizophrenia. ES-SCZ at optimal cut point showed also a progressively greater magnitude of association with increasing psychosis risk strata. Among all clinical outcomes, ES-SCZ was associated with schizophrenia diagnosis with the highest OR (2.76, P < .001) and greatest explained variance (R2 = 14.03%), followed by bipolar disorder (OR = 2.61, P < .001, R2 = 13.01%) and suicide plan (OR = 2.44, P < .001, R2 = 12.44%). Our findings from an epidemiologically representative general population cohort demonstrate that an aggregate environmental exposure score for schizophrenia constructed using a predictive modeling approach-ES-SCZ-has the potential to improve risk prediction and stratification for research purposes and may help gain insight into the multicausal etiology of psychopathology.

Indexed as

SeasonsSuicidal IdeationAdolescentAdultAdverse Childhood ExperiencesAgedBipolar DisorderExposomeFemaleHearing LossHumansLongitudinal StudiesMaleMarijuana UseMiddle AgedNetherlandsenvironmentexposomepredictionpsychosisrisk scoreschizophrenia

Identifiers

PMID33215211
PMCPMC7965069
OpenAlexW3102572163

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.