Literature DB >> 9616448

Accuracy of prediction of survival by different professional groups in a hospice.

D Oxenham1, M A Cornbleet.   

Abstract

Mesh：

Year:  1998        PMID： 9616448     DOI： 10.1191/026921698672034203

Source DB:  PubMed          Journal:  Palliat Med        ISSN： 0269-2163            Impact factor:   4.762


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  13 in total

1.  How palliative care professionals deal with predicting life expectancy at the end of life: predictors and accuracy.

Authors:  Sara Mandelli; Emma Riva; Mauro Tettamanti; Ugo Lucca; Davide Lombardi; Gianmaria Miolo; Simon Spazzapan; Rita Marson
Journal:  Support Care Cancer       Date:  2020-08-31       Impact factor: 3.603

2.  Development of a prognostic index in cancer patients with low performance status.

Authors:  José Ferraz Gonçalves; Isabel Costa; Carolina Monteiro
Journal:  Support Care Cancer       Date:  2005-03-31       Impact factor: 3.603

3.  Associations among awareness of prognosis, hopefulness, and coping in patients with advanced cancer participating in phase I clinical trials.

Authors:  Paul R Helft; Fay Hlubocky; Ming Wen; Christopher K Daugherty
Journal:  Support Care Cancer       Date:  2003-07-12       Impact factor: 3.603

Review 4.  A systematic review of physicians' survival predictions in terminally ill cancer patients.

Authors:  Paul Glare; Kiran Virik; Mark Jones; Malcolm Hudson; Steffen Eychmuller; John Simes; Nicholas Christakis
Journal:  BMJ       Date:  2003-07-26

5.  Longitudinal temporal and probabilistic prediction of survival in a cohort of patients with advanced cancer.

Authors:  Pedro E Perez-Cruz; Renata Dos Santos; Thiago Buosi Silva; Camila Souza Crovador; Maria Salete de Angelis Nascimento; Stacy Hall; Julieta Fajardo; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-16       Impact factor: 3.612

6.  What are terminally ill cancer patients told about their expected deaths? A study of cancer physicians' self-reports of prognosis disclosure.

Authors:  Christopher K Daugherty; Fay J Hlubocky
Journal:  J Clin Oncol       Date:  2008-11-24       Impact factor: 44.544

7.  Comparative multidisciplinary prediction of survival in patients with advanced cancer.

Authors:  A Fairchild; B Debenham; B Danielson; F Huang; S Ghosh
Journal:  Support Care Cancer       Date:  2013-10-18       Impact factor: 3.603

8.  Improving palliative care with deep learning.

Authors:  Anand Avati; Kenneth Jung; Stephanie Harman; Lance Downing; Andrew Ng; Nigam H Shah
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-12       Impact factor: 2.796

9.  The project ENABLE II randomized controlled trial to improve palliative care for rural patients with advanced cancer: baseline findings, methodological challenges, and solutions.

Authors:  Marie Bakitas; Kathleen Doyle Lyons; Mark T Hegel; Stefan Balan; Kathleen N Barnett; Frances C Brokaw; Ira R Byock; Jay G Hull; Zhongze Li; Elizabeth McKinstry; Janette L Seville; Tim A Ahles
Journal:  Palliat Support Care       Date:  2009-03

Review 10.  A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts?

Authors:  Nicola White; Fiona Reid; Adam Harris; Priscilla Harries; Patrick Stone
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240
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