Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Samuel P. Leighton"'
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
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 2, Pp e61- (2020)
Externí odkaz:
https://doaj.org/article/1e2c2c67229c48409f2f202de7a447e9
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
Autor:
Samuel P Leighton, Rajeev Krishnadas, Kelly Chung, Alison Blair, Susie Brown, Suzy Clark, Kathryn Sowerbutts, Matthias Schwannauer, Jonathan Cavanagh, Andrew I Gumley
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0212846 (2019)
BackgroundEarly illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study objectiv
Externí odkaz:
https://doaj.org/article/69aa0745debd4814af9e9800c32585e6
Autor:
Vimal Sharma, David Fowler, Pavan Mallikarjun, Paul McCrone, Max Marshall, Rachel Upthegrove, Linda Everard, Swaran P. Singh, Georgina Blake, Samuel P Leighton, Max Birchwood, Peter B. Jones, Tim Amos, Siân Lowri Griffiths, Nick Freemantle, Joanne Hodgekins
Publikováno v:
Translational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)
Translational Psychiatry
Translational Psychiatry
Funder: Department of Health (DH); doi: https://doi.org/10.13039/501100000276
Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to
Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8cdf309d002e3d3cc007f10701f4856
https://doaj.org/article/3979a36d43ae4fd682f76bfb016fe7e9
https://doaj.org/article/3979a36d43ae4fd682f76bfb016fe7e9
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
https://doi.org/10.1093/schizbullopen/sgab041
Autor:
Pavan Mallikarjun, Georgios V. Gkoutos, Samuel P Leighton, Danielle Leighton, Breda Cullen, Jonathan Cavanagh, James W. Herron, Rachel Upthegrove
Objectives To undertake a preliminary hypothesis-generating analysis exploring putative risk factors for coronavirus diseae 2019 (COVID-19) population-adjusted deaths, compared with non-COVID-19 related deaths, at a local authority district (LAD) lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::058300e9dc2e7e372c82fbe3be2904a9
https://doi.org/10.1101/2020.05.21.20108936
https://doi.org/10.1101/2020.05.21.20108936
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
https://pubmed.ncbi.nlm.nih.gov/33334562
Autor:
Laura M, Lyall, Breda, Cullen, Donald M, Lyall, Samuel P, Leighton, Stefan, Siebert, Daniel J, Smith, Jonathan, Cavanagh
Publikováno v:
European Psychiatry
Background Depression and chronic inflammatory medical conditions have been linked to impaired cognitive ability. However despite frequent comorbidity, their combined association with cognitive ability has rarely been examined. Methods This study exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bb1a6c6d784f9b30a888c4e5c9a012e9
https://pubmed.ncbi.nlm.nih.gov/31158611
https://pubmed.ncbi.nlm.nih.gov/31158611
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)
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
https://curis.ku.dk/ws/files/238437942/1_s2.0_S2589750019301219_main.pdf