Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Colin McCowan"'
Autor:
Calum Macdonald, Norah Palmateer, Andrew McAuley, Laura Lindsay, Taimoor Hasan, Safraj Shahul Hameed, Elliot Hall, Karen Jeffrey, Zoë Grange, Petros Gousias, Sally Mavin, Lisa Jarvis, J. Claire Cameron, Luke Daines, Holly Tibble, Colin R. Simpson, Colin McCowan, Srinivasa Vittal Katikireddi, Igor Rudan, Adeniyi Francis Fagbamigbe, Lewis Ritchie, Ben Swallow, Paul Moss, Chris Robertson, Aziz Sheikh, Josie Murray
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-12 (2024)
Abstract Several population-level studies have described individual clinical risk factors associated with suboptimal antibody responses following COVID-19 vaccination, but none have examined multimorbidity. Others have shown that suboptimal post-vacc
Externí odkaz:
https://doaj.org/article/76e8b5eedf624decac9fa914f76328ac
Autor:
Angela Henderson, Sally-Ann Cooper, Kirsty Dunn, Colin McCowan, Michael Fleming, David Morrison, David Conway, Gill Smith, Maria Truesdale, Filip Sosenko, Deborah Cairns, Laura Hughes-McCormack, Katie Robb, Laura McKernan Ward, Catherine R Hanna
Publikováno v:
BMJ Open, Vol 14, Iss 8 (2024)
Objective To provide contemporary data on cancer mortality rates within the context of incidence in the population with intellectual disabilities.Methods Scotland’s 2011 Census was used to identify adults with intellectual disabilities and controls
Externí odkaz:
https://doaj.org/article/0201ac78564b4fa783fbb6178e7b1d54
Autor:
Jennifer Cooper, Krishnarajah Nirantharakumar, Francesca Crowe, Amaya Azcoaga-Lorenzo, Colin McCowan, Thomas Jackson, Aditya Acharya, Krishna Gokhale, Niluka Gunathilaka, Tom Marshall, Shamil Haroon
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-16 (2023)
Abstract Background Primary care electronic health records (EHR) are widely used to study long-term conditions in epidemiological and health services research. Therefore, it is important to understand how well the recorded prevalence of these conditi
Externí odkaz:
https://doaj.org/article/396b8843c9a44f3c9288c6e44c073748
Autor:
Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Utkarsh Agrawal, Mairead Black, Muhammad Usman, Siang Ing Lee, Kelly-Ann Eastwood, Ngawai Moss, Rachel Plachcinski, Catherine Nelson-Piercy, Sinead Brophy, Dermot O’Reilly, Krishnarajah Nirantharakumar, Colin McCowan, on behalf of the MuM-PreDiCT Group
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-11 (2023)
Abstract Background Multimorbidity is common in women across the life course. Preterm birth is the single biggest cause of neonatal mortality and morbidity. We aim to estimate the prevalence of multimorbidity in pregnant women and to examine the asso
Externí odkaz:
https://doaj.org/article/1cd2085dae434a74849885ea3959c8cc
Autor:
Brenda S. Bauer, Amaya Azcoaga-Lorenzo, Utkarsh Agrawal, Adeniyi Francis Fagbamigbe, Colin McCowan
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/97b1c17776fc47159fda81d7a9aa8a2d
Autor:
Aziz Sheikh, Julia Hippisley-Cox, Chris Robertson, Holly Tibble, Colin R Simpson, Colin McCowan, Igor Rudan, Adeniyi Francis Fagbamigbe, Steven Kerr, Tristan Millington, Karen Jeffrey
Publikováno v:
BMJ Open, Vol 13, Iss 12 (2023)
Objective The QCovid 2 and 3 algorithms are risk prediction tools developed during the second wave of the COVID-19 pandemic that can be used to predict the risk of COVID-19 hospitalisation and mortality, taking vaccination status into account. In thi
Externí odkaz:
https://doaj.org/article/269b45203b704915a6d0e1383335ee68
Autor:
Laura Lindsay, Clara Calvert, Ting Shi, Jade Carruthers, Cheryl Denny, Jack Donaghy, Lisa E. M. Hopcroft, Leanne Hopkins, Anna Goulding, Terry McLaughlin, Emily Moore, Bob Taylor, Krishnan Bhaskaran, Srinivasa Vittal Katikireddi, Ronan McCabe, Colin McCowan, Colin R. Simpson, Chris Robertson, Aziz Sheikh, Rachael Wood, Sarah J. Stock
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Understanding the impact of SARS-CoV-2 infection and COVID-19 vaccination in pregnancy on neonatal and maternal outcomes informs clinical decision-making. Here we report a national, population-based, matched cohort study to investigate assoc
Externí odkaz:
https://doaj.org/article/66528770e53a4faebdb445a9c0849351
Autor:
Siang Ing Lee, Stephanie Hanley, Zoe Vowles, Rachel Plachcinski, Ngawai Moss, Megha Singh, Chris Gale, Adeniyi Francis Fagbamigbe, Amaya Azcoaga-Lorenzo, Anuradhaa Subramanian, Beck Taylor, Catherine Nelson-Piercy, Christine Damase-Michel, Christopher Yau, Colin McCowan, Dermot O’Reilly, Gillian Santorelli, Helen Dolk, Holly Hope, Katherine Phillips, Kathryn M. Abel, Kelly-Ann Eastwood, Lisa Kent, Louise Locock, Maria Loane, Mohamed Mhereeg, Peter Brocklehurst, Sharon McCann, Sinead Brophy, Steven Wambua, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Shakila Thangaratinam, Krishnarajah Nirantharakumar, Mairead Black, on behalf of the MuM-PreDiCT Group
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-15 (2023)
Abstract Background Heterogeneity in reported outcomes can limit the synthesis of research evidence. A core outcome set informs what outcomes are important and should be measured as a minimum in all future studies. We report the development of a core
Externí odkaz:
https://doaj.org/article/bbbd89b7413e4407b8c558ead301eb78
Autor:
Siang Ing Lee, Stephanie Hanley, Zoe Vowles, Rachel Plachcinski, Amaya Azcoaga-Lorenzo, Beck Taylor, Catherine Nelson-Piercy, Colin McCowan, Dermot O’Reilly, Holly Hope, Kathryn M. Abel, Kelly-Ann Eastwood, Louise Locock, Megha Singh, Ngawai Moss, Sinead Brophy, Krishnarajah Nirantharakumar, Shakila Thangaratinam, Mairead Black
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Maternal multiple long-term conditions are associated with adverse outcomes for mother and child. We conducted a qualitative study to inform a core outcome set for studies of pregnant women with multiple long-term conditions. Meth
Externí odkaz:
https://doaj.org/article/d1d166963ae44257ba4f6736c592601e
Autor:
Christopher Yau, Catherine Nelson-Piercy, Krishnarajah Nirantharakumar, Anuradhaa Subramanian, Peter Brocklehurst, Sinead Brophy, Maria Loane, Helen Dolk, Muhammad Usman, Jingya Wang, Colin McCowan, Holly Hope, Jonathan Kennedy, Siang Ing Lee, Amaya Azcoaga-Lorenzo, Gillian Santorelli, Mairead Black, Christine Damase-Michel, Ngawai Moss, Katherine Phillips, Kelly-Ann Eastwood, Kathryn Mary Abel, Lisa Kent, Adeniyi Fagbamigbe, Dermot OReilly, Steven Wambua, Megha Singh, Mohamed Mhereeg, Neil Cockburn, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe
Publikováno v:
BMJ Open, Vol 13, Iss 10 (2023)
Introduction Considering the high prevalence of polypharmacy in pregnant women and the knowledge gap in the risk–benefit safety profile of their often-complex treatment plan, more research is needed to optimise prescribing. In this study, we aim to
Externí odkaz:
https://doaj.org/article/f51203954be24382ac100c80d2415f9e