Prognostic models in first-episode psychosis - Authors' reply

Affiliations

¹ Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
² Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK.
³ Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, UK. Electronic address: p.mallikarjun@bham.ac.uk.

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Comment

Samuel P Leighton et al. Lancet Digit Health. 2020 Feb.

Free article

. 2020 Feb;2(2):e61.

doi: 10.1016/S2589-7500(19)30238-9. Epub 2020 Jan 27.

¹ Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
² Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK.
³ Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, UK. Electronic address: p.mallikarjun@bham.ac.uk.

No abstract available

Comment on

Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: a machine learning approach.
Leighton SP, Upthegrove R, Krishnadas R, Benros ME, Broome MR, Gkoutos GV, Liddle PF, Singh SP, Everard L, Jones PB, Fowler D, Sharma V, Freemantle N, Christensen RHB, Albert N, Nordentoft M, Schwannauer M, Cavanagh J, Gumley AI, Birchwood M, Mallikarjun PK. Leighton SP, et al. Lancet Digit Health. 2019 Oct;1(6):e261-e270. doi: 10.1016/S2589-7500(19)30121-9. Epub 2019 Sep 12. Lancet Digit Health. 2019. PMID: 33323250
Prognostic models in first-episode psychosis.
Whiting D, Fazel S. Whiting D, et al. Lancet Digit Health. 2020 Feb;2(2):e60. doi: 10.1016/S2589-7500(19)30220-1. Epub 2020 Jan 27. Lancet Digit Health. 2020. PMID: 33334562 No abstract available.