Structure and stability of symptoms in first episode psychosis: a longitudinal network approach

Autor: Siân Lowri Griffiths, Samuel P. Leighton, Pavan Kumar Mallikarjun, Georgina Blake, Linda Everard, Peter B. Jones, David Fowler, Joanne Hodgekins, Tim Amos, Nick Freemantle, Vimal Sharma, Max Marshall, Paul McCrone, Swaran P. Singh, Max Birchwood, Rachel Upthegrove

Publikováno v: Translational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)

Abstract Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to illness outcomes, from a novel network perspective, may help to delineate

Externí odkaz: https://doaj.org/article/3979a36d43ae4fd682f76bfb016fe7e9

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

Autor: Samuel P Leighton, MBChB, Rachel Upthegrove, ProfPhD, Rajeev Krishnadas, PhD, Michael E Benros, PhD, Matthew R Broome, ProfPhD, Georgios V Gkoutos, ProfPhD, Peter F Liddle, ProfPhD, Swaran P Singh, ProfMD, Linda Everard, BSc, Peter B Jones, ProfMD, David Fowler, ProfMSc, Vimal Sharma, ProfPhD, Nicholas Freemantle, ProfPhD, Rune H B Christensen, PhD, Nikolai Albert, PhD, Merete Nordentoft, ProfPhD, Matthias Schwannauer, ProfPhD, Jonathan Cavanagh, ProfMD, Andrew I Gumley, ProfPhD, Max Birchwood, ProfPhD, Pavan K Mallikarjun, PhD

Publikováno v: The Lancet: Digital Health, Vol 1, Iss 6, Pp e261-e270 (2019)

Summary: Background: Outcomes for people with first-episode psychosis are highly heterogeneous. Few reliable validated methods are available to predict the outcome for individual patients in the first clinical contact. In this study, we aimed to buil

Externí odkaz: https://doaj.org/article/fc7422f54464453fa283a753419c647f

Development and Validation of a Nonremission Risk Prediction Model in First-Episode Psychosis: An Analysis of 2 Longitudinal Studies

Autor: Georgios V. Gkoutos, Nick Freemantle, Max Birchwood, Robin M. Murray, Rajeev Krishnadas, Linda Everard, Samuel P Leighton, Pavan Mallikarjun, Swaran P. Singh, Steven Marwaha, Peter F. Liddle, Til Wykes, Peter B. Jones, Ewout W. Steyerberg, Jonathan Cavanagh, Simon Rogers, Vimal Sharma, Rachel Upthegrove, David Fowler, Shôn Lewis, Iain Buchan, Matthew R. Broome, Richard Drake

Publikováno v: Schizophrenia Bulletin Open. 2

Psychosis is a major mental illness with first onset in young adults. The prognosis is poor in around half of the people affected, and difficult to predict. The few tools available to predict prognosis have major weaknesses which limit their use in c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::caa74fe44d6c32e24bc937cce6e61eb2
https://doi.org/10.1093/schizbullopen/sgab041

Prognostic models in first-episode psychosis - Authors' reply

Autor: Pavan Mallikarjun, Samuel P Leighton, Max Birchwood

Publikováno v: The Lancet: Digital Health, Vol 2, Iss 2, Pp e61-(2020)

No abstract available.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dccd38733931d04aa5d102467507d93a
https://pubmed.ncbi.nlm.nih.gov/33334562

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

Autor: Pavan Mallikarjun, Merete Nordentoft, Georgios V. Gkoutos, Andrew Gumley, Max Birchwood, Michael E. Benros, Matthias Schwannauer, Swaran P. Singh, Linda Everard, Matthew R. Broome, Rajeev Krishnadas, Rune Haubo Bojesen Christensen, Rachel Upthegrove, Peter F. Liddle, Jonathan Cavanagh, Vimal Sharma, Samuel P Leighton, Nick Freemantle, Peter B. Jones, Nikolai Albert, David Fowler

Publikováno v: Leighton, S P, Upthegrove, R, Krishnadas, R, Benros, M E, Broome, M R, Gkoutos, G V, Liddle, P F, Singh, S P, Everard, L, Jones, P B, Fowler, D, Sharma, V, Freemantle, N, Christensen, R H B, Albert, N, Nordentoft, M, Schwannauer, M, Cavanagh, J, Gumley, A I, Birchwood, M & Mallikarjun, P K 2019, ' 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 ', The Lancet Digital Health, vol. 1, no. 6, pp. e261-e270 . https://doi.org/10.1016/S2589-7500(19)30121-9
Leighton, S P, Upthegrove, R, Krishnadas, R, Benros, M E, Broome, M R, Gkoutos, G V, Liddle, P F, Singh, S P, Everard, L, Jones, P B, Fowler, D, Sharma, V, Freemantle, N, Christensen, R H B, Albert, N, Nordentoft, M, Schwannauer, M, Cavanagh, J, Gumley, A I, Birchwood, M & Mallikarjun, P K 2019, ' 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 ', The Lancet Digital Health, vol. 1, no. 6, pp. e261-e270 . https://doi.org/10.1016/S2589-7500(19)30121-9
The Lancet: Digital Health, Vol 1, Iss 6, Pp e261-e270 (2019)

Background: \ud Outcomes for people with first-episode psychosis are highly heterogeneous. Few reliable validated methods are available to predict the outcome for individual patients in the first clinical contact. In this study, we aimed to build mul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d1f0041018f3b6650039cdb3441ec68
https://curis.ku.dk/ws/files/238437942/1_s2.0_S2589750019301219_main.pdf