Literature DB >> 8537697

Estimating length of survival in end-stage cancer: a review of the literature.

N den Daas1.   

Abstract

Accurately estimating survival times in patients with end-stage cancer is on ongoing challenge for palliative care clinicians. Psychosocial as well as physiological factors have been thought to influence the length of the terminal phase of illness, but conclusive findings remain elusive. This review examines the studies that have addressed the issue using observable, measurable criteria associated with physiological, clinical status. Improving the ability to estimate accurately a patient's length of survival may improve patient/family quality of life and assist in the efficient, appropriate use of resources. Additional research in this and other palliative care issues will need to be better funded and organized if progress is to be made.

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Year:  1995        PMID: 8537697     DOI: 10.1016/0885-3924(95)00103-6

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  10 in total

Review 1.  Practical guide to palliative sedation.

Authors:  John D Cowan; Teresa W Palmer
Journal:  Curr Oncol Rep       Date:  2002-05       Impact factor: 5.075

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

Review 3.  The dying patient.

Authors:  J D Cowan
Journal:  Curr Oncol Rep       Date:  2000-07       Impact factor: 5.075

4.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

5.  Heart rate variability and length of survival in hospice cancer patients.

Authors:  Do Hoon Kim; Jeong A Kim; Youn Seon Choi; Su Hyun Kim; June Young Lee; Young Eun Kim
Journal:  J Korean Med Sci       Date:  2010-07-21       Impact factor: 2.153

6.  Whole-liver radiotherapy for end-stage colorectal cancer patients with massive liver metastases and advanced hepatic dysfunction.

Authors:  Seung-Gu Yeo; Dae Yong Kim; Tae Hyun Kim; Sun Young Kim; Yong Sang Hong; Kyung Hae Jung
Journal:  Radiat Oncol       Date:  2010-10-26       Impact factor: 3.481

7.  A prospective study on C-reactive protein as a prognostic factor for survival time of terminally ill cancer patients.

Authors:  Sang-Yeon Suh; Hong-Yup Ahn
Journal:  Support Care Cancer       Date:  2007-01-18       Impact factor: 3.359

8.  A non-lab nomogram of survival prediction in home hospice care patients with gastrointestinal cancer.

Authors:  Muqing Wang; Xubin Jing; Weihua Cao; Yicheng Zeng; Chaofen Wu; Weilong Zeng; Wenxia Chen; Xi Hu; Yanna Zhou; Xianbin Cai
Journal:  BMC Palliat Care       Date:  2020-12-07       Impact factor: 3.234

9.  Survival Prediction in Home Hospice Care Patients with Lung Cancer Based on LASSO Algorithm.

Authors:  Yicheng Zeng; Weihua Cao; Chaofen Wu; Muqing Wang; Yanchun Xie; Wenxia Chen; Xi Hu; Yanna Zhou; Xubin Jing; Xianbin Cai
Journal:  Cancer Control       Date:  2022 Jan-Dec       Impact factor: 2.339

10.  A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer.

Authors:  Jui-Kun Chiang; Yu-Hsiang Cheng; Malcolm Koo; Yee-Hsin Kao; Ching-Yu Chen
Journal:  Jpn J Clin Oncol       Date:  2010-01-22       Impact factor: 3.019

  10 in total

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