External validation and extension of the NAPLS-2 and SIPS-RC personalized risk calculators in an independent clinical high-risk sample
Open accessAbstract
Early identification of individuals likely to develop psychosis is a priority for the field, resulting in the development of risk calculators that provide personalized estimates that an individual at clinical high-risk (CHR) will develop psychosis. The North American Prodrome Longitudinal Study (NAPLS) consortium and Shanghai At-Risk for Psychosis program have recently developed such calculators (NAPLS-2/SIPS-RC, respectively), but their discrimination performance has never been examined within the same sample. Moreover, validation studies of NAPLS-2 are limited in number and the SIPS-RC has not been cross-validated in a North American sample. The present research (N = 68) used the area under the receiver operating characteristic curve (AUC) to examine the accuracy of the NAPLS-2 and SIPS-RC calculators for discriminating CHR converters and non-converters, as well as extend their use by examining their ability to predict illness progression over a two-year period. For conversion, the NAPLS-2 and SIPS-RC risk calculators demonstrated moderate (AUC = 0.71) and fair (AUC = 0.65) discrimination performance, respectively. Both calculators provided moderate accuracy for discriminating illness progression over two-years (NAPLS-2 AUC = 0.71/ SIPS-RC AUC = 0.76). We discuss implications for researchers and practitioners interested in using the NAPLS-2 and/or SIPS-RC and identify important steps for future research.
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The Cannon et al. model has external validation AUCs of 0.79 (n=176, mean age 16.6, US), 0.63 (n=199, mean age 19.1, China), and 0.71 (n=98, mean age 18.59, US).
“176 (16.6, US); 0.79 (AUC) 292 199 (19.1, China); 0.63 (AUC) 293 98 (18.59, US); 0.71 (AUC) 294”
From Preventive psychiatry: a blueprint for improving the mental health of young people (2021) · cites this paper as [294]
The Zhang et al. model has external validation AUCs of 0.804 (n=100, China) and 0.65 (n=98, mean age 18.59, US).
“100 (age not available, China); 0.804 (AUC) 295 98 (18.59, US); 0.65 (AUC) 294”
From Preventive psychiatry: a blueprint for improving the mental health of young people (2021) · cites this paper as [294]
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References 46 · Cited by 31
- Authors
- Osborne, K. J., & Mittal, V. A.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Osborne, K. Juston
- Venue
- Psychiatry Research
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 279
- Pages
- 9-14
- ISSN
- 0165-1781 (ISSN-L)
- PMC
- PMC6713610
- OpenAlex
- W2949197971
- Cited by
- 31
- References
- 46
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 8 · 2020: 7 · 2019: 1 · 2017: 1
- FWCI
- 3.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Psychiatry Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- 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
- risk calculator, clinical high risk for psychosis, prodromal psychosis, transition to psychosis, external validation, discrimination performance, North American Prodrome Longitudinal Study
- MeSH terms
- Adult, Mental Disorders, China, Female, Humans, Longitudinal Studies, Male, North America, Psychotic Disorders, ROC Curve, Reproducibility of Results, Disease Progression, Risk Assessment, Area Under Curve, Prodromal Symptoms
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