Literature DB >> 2860399

Prognostic uncertainty in terminal care: can the Karnofsky index help?

C Evans, M McCarthy.   

Abstract

Members of a terminal care support team in a London health district recorded upper and lower estimates of prognosis on 42 patients during 149 visits. Just over half of the actual survivals were within the estimate limits, and the estimates tended to be overoptimistic. For the initial observations on each patient, a health status measure, the Karnofsky index, gave a closer correlation with the actual survival than the estimates. Better predictors of prognosis are needed by staff caring for terminally ill people.

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Year:  1985        PMID： 2860399     DOI： 10.1016/s0140-6736(85)92876-4

Source DB:  PubMed          Journal:  Lancet        ISSN： 0140-6736            Impact factor:   79.321


  39 in total

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Authors:  M Bennett; N Ryall
Journal:  BMJ       Date:  2000-12-02

2.  Validation of the Cochin Risk Index Score (CRIS) for life expectancy prediction in terminally ill cancer patients.

Authors:  Jean-Philippe Durand; Olivier Mir; Romain Coriat; Anatole Cessot; Sylvain Pourchet; François Goldwasser
Journal:  Support Care Cancer       Date:  2011-04-16       Impact factor: 3.603

3.  Massage therapy versus simple touch to improve pain and mood in patients with advanced cancer: a randomized trial.

Authors:  Jean S Kutner; Marlaine C Smith; Lisa Corbin; Linnea Hemphill; Kathryn Benton; B Karen Mellis; Brenda Beaty; Sue Felton; Traci E Yamashita; Lucinda L Bryant; Diane L Fairclough
Journal:  Ann Intern Med       Date:  2008-09-16       Impact factor: 25.391

4.  Communication and choice in dying from heart disease.

Authors:  M McCarthy; J A Hall; M Ley
Journal:  J R Soc Med       Date:  1997-03       Impact factor: 5.344

5.  Which factors can aid clinicians to identify a risk of pain during the following month in patients with bone metastases? A longitudinal analyses.

Authors:  Ragnhild Habberstad; M J Hjermstad; C Brunelli; S Kaasa; M I Bennett; K Pardon; P Klepstad
Journal:  Support Care Cancer       Date:  2018-08-13       Impact factor: 3.603

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.  Classification and staging of terminal cancer patients: rationale and objectives of a multicentre cohort prospective study and methods used. The Italian Co-operative Research Group on Palliative Medicine.

Authors:  F Toscani
Journal:  Support Care Cancer       Date:  1996-01       Impact factor: 3.603

Review 8.  Communication in end-stage cancer: review of the literature and future research.

Authors:  Elizabeth D Trice; Holly G Prigerson
Journal:  J Health Commun       Date:  2009

Review 9.  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

10.  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
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