Literature DB >> 18394880

Predicting survival in patients with advanced disease.

Paul Glare1, Christian Sinclair, Michael Downing, Patrick Stone, Marco Maltoni, Antonio Vigano.   

Abstract

Prognostication is an important clinical skill for all clinicians, particularly those clinicians working with patients with advanced cancer. However, doctors can be hesitant about prognosticating without a fundamental understanding of how to formulate a prognosis more accurately and how to communicate the information with honesty and compassion. Irrespective of the underlying type of malignancy, most patients with advanced cancer experience a prolonged period of gradual decline (months/years) before a short phase of accelerated decline in the last month or two. The main indicators of this final phase are poor performance status, weight loss, symptoms such as anorexia, breathlessness or confusion and abnormalities on laboratory parameters (e.g. high white cell count, lymphopaenia, hyopalbuminaemia, elevated lactate dehydrogenase or C-reactive protein). The clinical estimate of survival remains a powerful independent prognostic indicator, often enhanced by experience, but research has only begun to understand the different biases affecting clinicians' estimates. More recent research has shown probabilistic predictions to be more accurate than temporal predictions. Simple, reliable and valid prognostic tools have been developed in recent years that can be used readily at the bedside of terminally ill cancer patients. The greatest accuracy occurs with the use of a combination of subjective prognostic judgements and objective validated tools. Communicating survival predictions is an important part of cancer care and guidelines exist for improving delivery of such information. Important cultural differences may influence communication strategies and should be recognised in clinical encounters. More well-designed studies of prognosis and its impact on decision making are needed. The benefits and limitations of prognostication should be considered in many clinical decisions.

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Year:  2008        PMID: 18394880     DOI: 10.1016/j.ejca.2008.02.030

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  56 in total

1.  Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium.

Authors:  Emanuela Scarpi; Marco Maltoni; Rosalba Miceli; Luigi Mariani; Augusto Caraceni; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2011-10-31

2.  Prospective comparison of prognostic scores in palliative care cancer populations.

Authors:  Marco Maltoni; Emanuela Scarpi; Cristina Pittureri; Francesca Martini; Luigi Montanari; Elena Amaducci; Stefania Derni; Laura Fabbri; Marta Rosati; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2012-02-29

3.  Analysis of ECOG performance status in head and neck squamous cell carcinoma patients: association with sociodemographical and clinical factors, and overall survival.

Authors:  Gefter Thiago Batista Corrêa; Gabriela Alencar Bandeira; Bruna Gonçalves Cavalcanti; Francis Balduíno Guimarães Santos; João Felício Rodrigues Rodrigues Neto; André Luiz Sena Guimarães; Desirée Sant'Ana Haikal; Alfredo Maurício Batista De Paula
Journal:  Support Care Cancer       Date:  2012-11       Impact factor: 3.603

4.  Can oncologists predict survival for patients with progressive disease after standard chemotherapies?

Authors:  T K Taniyama; K Hashimoto; N Katsumata; A Hirakawa; K Yonemori; M Yunokawa; C Shimizu; K Tamura; M Ando; Y Fujiwara
Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

5.  Obtaining Helpful Information From the Internet About Prognosis in Advanced Cancer.

Authors:  Ivan Chik; Thomas J Smith
Journal:  J Oncol Pract       Date:  2015-07       Impact factor: 3.840

6.  Development and validation of a prognostic scale for hospitalized patients with terminally ill cancer in China.

Authors:  Yu Huang; Qingsong Xi; Shu Xia; Xushi Wang; Yong Liu; Chao Huang; Wei Zheng; Shiying Yu
Journal:  Support Care Cancer       Date:  2013-09-07       Impact factor: 3.603

7.  Parenting concerns, quality of life, and psychological distress in patients with advanced cancer.

Authors:  Eliza M Park; Allison M Deal; Devon K Check; Laura C Hanson; Katherine E Reeder-Hayes; Deborah K Mayer; Justin M Yopp; Mi-Kyung Song; Anna C Muriel; Donald L Rosenstein
Journal:  Psychooncology       Date:  2015-08-17       Impact factor: 3.894

8.  The cancer anorexia-cachexia syndrome: myth or reality?

Authors:  Wael Lasheen; Declan Walsh
Journal:  Support Care Cancer       Date:  2010-02       Impact factor: 3.603

9.  Predictors of inpatient mortality in an acute palliative care unit at a comprehensive cancer center.

Authors:  Ahmed Elsayem; Masanori Mori; Henrique A Parsons; Mark F Munsell; David Hui; Marvin O Delgado-Guay; Timotheos Paraskevopoulos; Nada A Fadul; Eduardo Bruera
Journal:  Support Care Cancer       Date:  2009-04-07       Impact factor: 3.603

10.  A proposed prognostic 7-day survival formula for patients with terminal cancer.

Authors:  Jui-Kun Chiang; Ning-Sheng Lai; Mei-Huang Wang; Shi-Chi Chen; Yee-Hsin Kao
Journal:  BMC Public Health       Date:  2009-09-29       Impact factor: 3.295

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