Literature DB >> 17853845

A systematic review of prognostic tools for estimating survival time in palliative care.

Francis Lau1, Denise Cloutier-Fisher, Craig Kuziemsky, Fraser Black, Michael Downing, Elizabeth Borycki, Francis Ho.   

Abstract

Mesh：

Year:  2007        PMID： 17853845

Source DB:  PubMed          Journal:  J Palliat Care        ISSN： 0825-8597            Impact factor:   2.250


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  13 in total

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3.  Incorporating routine survival prediction in a U.S. hospital-based palliative care service.

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Journal:  J Palliat Med       Date:  2010-12-03       Impact factor: 2.947

4.  Glasgow prognostic score predicts prognosis for cancer patients in palliative settings: a subanalysis of the Japan-prognostic assessment tools validation (J-ProVal) study.

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Journal:  Support Care Cancer       Date:  2015-03-17       Impact factor: 3.603

5.  International palliative care experts' view on phenomena indicating the last hours and days of life.

Authors:  Franzisca Domeisen Benedetti; Christoph Ostgathe; Jean Clark; Massimo Costantini; Maria Laura Daud; Barbara Grossenbacher-Gschwend; Richard Latten; Olav Lindqvist; Andreja Peternelj; Stefanie Schuler; Kali Tal; Agnes van der Heide; Steffen Eychmüller
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6.  Construction of a new, objective prognostic score for terminally ill cancer patients: a multicenter study.

Authors:  Sang-Yeon Suh; Youn Seon Choi; Jae Yong Shim; Young Sung Kim; Chang Hwan Yeom; Daeyoung Kim; Shin Ae Park; Sooa Kim; Ji Yeon Seo; Su Hyun Kim; Daegyeun Kim; Sung-Eun Choi; Hong-Yup Ahn
Journal:  Support Care Cancer       Date:  2009-04-21       Impact factor: 3.603

7.  The palliative performance scale: examining its inter-rater reliability in an outpatient palliative radiation oncology clinic.

Authors:  Sarah Campos; Liying Zhang; Emily Sinclair; May Tsao; Elizabeth A Barnes; Cyril Danjoux; Arjun Sahgal; Philiz Goh; Shaelyn Culleton; Gunita Mitera; Edward Chow
Journal:  Support Care Cancer       Date:  2008-10-23       Impact factor: 3.603

8.  Predicting survival time in noncurative patients with advanced cancer: a prospective study in China.

Authors:  Jing Cui; Lingjun Zhou; B Wee; Fengping Shen; Xiuqiang Ma; Jijun Zhao
Journal:  J Palliat Med       Date:  2014-04-07       Impact factor: 2.947

9.  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

10.  A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival.

Authors:  Branko Miladinovic; Ambuj Kumar; Rahul Mhaskar; Sehwan Kim; Ronald Schonwetter; Benjamin Djulbegovic
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240
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