Cited by 246Schizophrenia research and treatmentPsychopathy, Forensic Psychiatry, Sexual OffendingBipolar Disorder and Treatment

Development and Validation of a Clinically Based Risk Calculator for the Transdiagnostic Prediction of Psychosis

Open access
Fusar-Poli, Paolo, Rutigliano, Grazia, Stahl, Daniel, Davies, Cathy, Bonoldi, Ilaria, Reilly, Thomas, McGuire, Philip·2017·JAMA Psychiatry

Abstract

Importance: The overall effect of At Risk Mental State (ARMS) services for the detection of individuals who will develop psychosis in secondary mental health care is undetermined. Objective: To measure the proportion of individuals with a first episode of psychosis detected by ARMS services in secondary mental health services, and to develop and externally validate a practical web-based individualized risk calculator tool for the transdiagnostic prediction of psychosis in secondary mental health care. Design, Setting, and Participants: Clinical register-based cohort study. Patients were drawn from electronic, real-world, real-time clinical records relating to 2008 to 2015 routine secondary mental health care in the South London and the Maudsley National Health Service Foundation Trust. The study included all patients receiving a first index diagnosis of nonorganic and nonpsychotic mental disorder within the South London and the Maudsley National Health Service Foundation Trust in the period between January 1, 2008, and December 31, 2015. Data analysis began on September 1, 2016. Main Outcomes and Measures: Risk of development of nonorganic International Statistical Classification of Diseases and Related Health Problems, Tenth Revision psychotic disorders. Results: A total of 91 199 patients receiving a first index diagnosis of nonorganic and nonpsychotic mental disorder within South London and the Maudsley National Health Service Foundation Trust were included in the derivation (n = 33 820) or external validation (n = 54 716) data sets. The mean age was 32.97 years, 50.88% were men, and 61.05% were white race/ethnicity. The mean follow-up was 1588 days. The overall 6-year risk of psychosis in secondary mental health care was 3.02 (95% CI, 2.88-3.15), which is higher than the 6-year risk in the local general population (0.62). Compared with the ARMS designation, all of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnoses showed a lower risk of psychosis, with the exception of bipolar mood disorders (similar risk) and brief psychotic episodes (higher risk). The ARMS designation accounted only for a small proportion of transitions to psychosis (n = 52 of 1001; 5.19% in the derivation data set), indicating the need for transdiagnostic prediction of psychosis in secondary mental health care. A prognostic risk stratification model based on preselected variables, including index diagnosis, age, sex, age by sex, and race/ethnicity, was developed and externally validated, showing good performance and potential clinical usefulness. Conclusions and Relevance: This online individualized risk calculator can be of clinical usefulness for the transdiagnostic prediction of psychosis in secondary mental health care. The risk calculator can help to identify those patients at risk of developing psychosis who require an ARMS assessment and specialized care. The use of this calculator may eventually facilitate the implementation of an individualized provision of preventive focused interventions and improve outcomes of first episode psychosis.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamapsychiatry.2017.0284

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • It is true that CHR-P clinics can currently detect only a minority of individuals who will later develop psychosis (similarly, early intervention services can only detect about half of first episode cases).

    “It is true that CHR-P clinics can currently detect only a minority of individuals who will later develop psychosis 199 (similarly, early intervention services can only detect about half of first episode cases 200 )”
  • The Fusar-Poli et al. model predicts transdiagnostic psychosis onset in secondary mental health care patients with a C-index of 0.80 in the development sample (n=33,820, mean age 34.4, UK).

    “33,820 (34.4, UK); 0.80 (C- index) 199”
  • The Fusar-Poli et al. model has external validation C-indexes of 0.79 (n=54,716, mean age 32.0, UK), 0.73 (n=13,702, mean age 40.9, UK), 0.79 (n=33,710, mean age 22.7, UK), 0.68 (n=2,430,333, mean age 34.2, US), and 0.85 (n=54,716, mean age 33, UK).

    “54,716 (32.0, UK); 0.79 (C-index) 199 13,702 (40.9, UK); 0.73 (C-index) 296 33,710 (22.7, UK), 0.79 (C-index) 297 2,430,333 (34.2, US); 0.68 (C-index) 298 54,716 (33); 0.85 (C-index) 299”
  • A narrowed psychosis-risk approach guarantees a limited detection, approximately 5%, even for those patients who will eventually develop a first episode of psychosis.

    “a so narrowed approach guarantees a limited detection, approximately 5%, even for those patients who will eventually develop a first episode of psychosis [93]”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [3]Fusar Poli P, McGorry P, Kane J. Improving outcomes of first episode psychosis. World Psychiatry. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]

Cited by

Sorted by citations

Authors
Fusar-Poli, P., Rutigliano, G., Stahl, D., Davies, C., Bonoldi, I., Reilly, T., & McGuire, P.
Affiliations
  • Early Psychosis: Interventions and Clinical Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, England
  • University of Pisa (IT)
  • King's College London (GB)
  • National Health Service (GB)
Venue
JAMA Psychiatry
Published
2017-05-01
Volume
74
Issue
5
Pages
493
ISSN
2168-622X (ISSN-L)
OpenAlex
W2593674607
Cited by
246
References
58
Citations by year
2026: 16 · 2025: 14 · 2024: 17 · 2023: 24 · 2022: 17 · 2021: 33 · 2020: 43 · 2019: 45 · 2018: 24 · 2017: 13
FWCI
27.82
Type
journal article
Language
en
Open access
Locations
  • JAMA Psychiatry (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion, other-oa)
Funders
Medical Research Council (MR/N026063/1)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
Keywords
psychosis prediction, clinical high risk for psychosis, first-episode psychosis, secondary mental health care, online risk calculator, bipolar disorder, external validation, South London and Maudsley NHS Foundation Trust
MeSH terms
Adolescent, Adult, Mental Disorders, Female, Follow-Up Studies, Humans, London, Male, Mental Health Services, Middle Aged, Prognosis, Psychotic Disorders, Registries, Reproducibility of Results, Risk Assessment, Internet, Young Adult, Secondary Health Care

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review