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Patrick C Stone

Showing results (11-20 of 23) with videos related to

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Palliative Medicine|April 3, 2020
Managing uncertainty and references to time in prognostic conversations with family members at the end of life: A conversation analytic studyRebecca J Anderson, Patrick C Stone, Joseph T S Low, et al.
Palliative Medicine|June 12, 2019
Communication between healthcare professionals and relatives of patients approaching the end-of-life: A systematic review of qualitative evidenceRebecca J Anderson, Steven Bloch, Megan Armstrong, et al.
BMJ Supportive & Palliative Care|March 20, 2014
Factors affecting recruitment to an observational multicentre palliative care studyPatrick C Stone, Bridget Gwilliam, Vaughan Keeley, et al.
Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer|July 13, 2005
Fatigue in cancer patients is not related to changes in oxyhaemoglobin dissociationPatrick C Stone, Alya Abdul-Wahab, John S Gibson, et al.
The Journal of Rheumatology|June 3, 2015
Can the Cancer-related Fatigue Case-definition Criteria Be Applied to Chronic Medical Illness? A Comparison between Breast Cancer and Systemic SclerosisLinda Kwakkenbos, Ollie Minton, Patrick C Stone, et al.
Cancer|May 23, 2013
Cancer-related fatigue and its impact on functioningOllie Minton, Ann Berger, Andrea Barsevick, et al.
BMJ Supportive & Palliative Care|November 21, 2015
Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort studyBridget Gwilliam, Vaughan Keeley, Chris Todd, et al.
BMJ Supportive & Palliative Care|March 22, 2014
Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort studyBridget Gwilliam, Vaughan Keeley, Chris Todd, et al.
BMJ (Clinical Research Ed.)|August 27, 2011
Development of prognosis in palliative care study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort studyBridget Gwilliam, Vaughan Keeley, Chris Todd, et al.
Plos One|April 14, 2022
The accuracy of clinician predictions of survival in the Prognosis in Palliative care Study II (PiPS2): A prospective observational studyPatrick C Stone, Christina Chu, Chris Todd, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Palliative Medicine|April 3, 2020
Managing uncertainty and references to time in prognostic conversations with family members at the end of life: A conversation analytic studyRebecca J Anderson, Patrick C Stone, Joseph T S Low, et al.
Palliative Medicine|June 12, 2019
Communication between healthcare professionals and relatives of patients approaching the end-of-life: A systematic review of qualitative evidenceRebecca J Anderson, Steven Bloch, Megan Armstrong, et al.
BMJ Supportive & Palliative Care|March 20, 2014
Factors affecting recruitment to an observational multicentre palliative care studyPatrick C Stone, Bridget Gwilliam, Vaughan Keeley, et al.
Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer|July 13, 2005
Fatigue in cancer patients is not related to changes in oxyhaemoglobin dissociationPatrick C Stone, Alya Abdul-Wahab, John S Gibson, et al.
The Journal of Rheumatology|June 3, 2015
Can the Cancer-related Fatigue Case-definition Criteria Be Applied to Chronic Medical Illness? A Comparison between Breast Cancer and Systemic SclerosisLinda Kwakkenbos, Ollie Minton, Patrick C Stone, et al.
Cancer|May 23, 2013
Cancer-related fatigue and its impact on functioningOllie Minton, Ann Berger, Andrea Barsevick, et al.
BMJ Supportive & Palliative Care|November 21, 2015
Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort studyBridget Gwilliam, Vaughan Keeley, Chris Todd, et al.
BMJ Supportive & Palliative Care|March 22, 2014
Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort studyBridget Gwilliam, Vaughan Keeley, Chris Todd, et al.
BMJ (Clinical Research Ed.)|August 27, 2011
Development of prognosis in palliative care study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort studyBridget Gwilliam, Vaughan Keeley, Chris Todd, et al.
Plos One|April 14, 2022
The accuracy of clinician predictions of survival in the Prognosis in Palliative care Study II (PiPS2): A prospective observational studyPatrick C Stone, Christina Chu, Chris Todd, et al.
Pageof 3