Evidence map›Paper›PMID 35013451›Full record

ArticleScientific reports2022

Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders.

Jelle Lamsma, Rongqin Yu, Seena Fazel, Genetic Risk and Outcome of Psychosis (GROUP) investigators

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Jelle LamsmaDepartment of Criminology and Sociology, Middlesex University, London, UK.
Rongqin YuDepartment of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK.
Seena FazelDepartment of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK. seena.fazel@psych.ox.ac.uk.
Genetic Risk and Outcome of Psychosis (GROUP) investigators

Funding

Wellcome TrustWellcome Trust 202836/Z/16/Z
6 · The paper itself

Abstract

Oxford Mental Illness and Violence (OxMIV) addresses the need in mental health services for a scalable, transparent and valid tool to predict violent behaviour in patients with severe mental illness. However, external validations are lacking. Therefore, we have used a Dutch sample of general psychiatric patients with schizophrenia spectrum disorders (N = 637) to evaluate the performance of OxMIV in predicting interpersonal violence over 3 years. The predictors and outcome were measured with standardized instruments and multiple sources of information. Patients were mostly male (n = 493, 77%) and, on average, 27 (SD = 7) years old. The outcome rate was 9% (n = 59). Discrimination, as measured by the area under the curve, was moderate at 0.67 (95% confidence interval 0.61-0.73). Calibration-in-the-large was adequate, with a ratio between predicted and observed events of 1.2 and a Brier score of 0.09. At the individual level, risks were systematically underestimated in the original model, which was remedied by recalibrating the intercept and slope of the model. Probability scores generated by the recalibrated model can be used as an adjunct to clinical decision-making in Dutch mental health services.

Indexed as

Schizophrenic PsychologyViolenceAdultAggressionFemaleHumansMaleMental HealthModels, PsychologicalRisk AssessmentYoung Adult

Identifiers

PMID35013451
PMCPMC8748785

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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.