Literature DB >> 10225699

Survival prediction of terminally ill cancer patients by clinical symptoms: development of a simple indicator.

T Morita1, J Tsunoda, S Inoue, S Chihara.   

Abstract

BACKGROUND: Although accurate prediction of survival is essential for palliative care, no clinical tools have been established.
METHODS: Performance status and clinical symptoms were prospectively assessed on two independent series of terminally ill cancer patients (training set, n = 150; testing set, n = 95). On the training set, the cases were divided into two groups with or without a risk factor for shorter than 3 and 6 weeks survival, according to the way the classification achieved acceptable predictive value. The validity of this classification for survival prediction was examined on the test samples.
RESULTS: The cases with performance status 10 or 20, dyspnea at rest or delirium were classified in the group with a predicted survival of shorter than 3 weeks. The cases with performance status 10 or 20, edema, dyspnea at rest or delirium were classified in the group with a predicted survival of shorter than 6 weeks. On the training set, this classification predicted 3 and 6 weeks survival with sensitivity 75 and 76% and specificity 84 and 78%, respectively. On the test populations, whether patients survived for 3 and 6 weeks or not was predicted with sensitivity 85 and 79% and specificity 84 and 72%, respectively.
CONCLUSION: Whether or not patients live for 3 and 6 weeks can be acceptably predicted by this simple classification.

Entities:  

Mesh:

Year:  1999        PMID: 10225699     DOI: 10.1093/jjco/29.3.156

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  11 in total

1.  Symptom clusters and prognosis in advanced cancer.

Authors:  Aynur Aktas; Declan Walsh; Lisa Rybicki
Journal:  Support Care Cancer       Date:  2012-02-24       Impact factor: 3.603

2.  Palliative sedation, foregoing life-sustaining treatment, and aid-in-dying: what is the difference?

Authors:  Patrick Daly
Journal:  Theor Med Bioeth       Date:  2015-06

3.  Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer.

Authors:  Dimitris Bertsimas; Jack Dunn; Colin Pawlowski; John Silberholz; Alexander Weinstein; Ying Daisy Zhuo; Eddy Chen; Aymen A Elfiky
Journal:  JCO Clin Cancer Inform       Date:  2018-12

4.  Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study.

Authors:  N A Christakis; E B Lamont
Journal:  BMJ       Date:  2000-02-19

5.  The prevalence of cardiopulmonary symptoms among Chinese older adults in the Greater Chicago area.

Authors:  XinQi Dong; Manrui Zhang; Melissa Simon
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-11-05       Impact factor: 6.053

6.  Factors of interrupting chemotherapy in patients with Advanced Non-Small-Cell Lung Cancer.

Authors:  Rhizlane Belbaraka; Olivier Trédan; Isabelle Ray-Coquard; Giselle Chvetzoff; Agathe Bajard; David Pérol; Nabil Ismaili; Mohammed Ismaili; Hassan Errihani; Thomas Bachelot; Paul Rebattu
Journal:  BMC Res Notes       Date:  2010-06-10

Review 7.  Clarifying delirium management: practical, evidenced-based, expert recommendations for clinical practice.

Authors:  Scott A Irwin; Rosene D Pirrello; Jeremy M Hirst; Gary T Buckholz; Frank D Ferris
Journal:  J Palliat Med       Date:  2013-03-12       Impact factor: 2.947

Review 8.  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

9.  Are physicians ethically obligated to address hospice as an alternative to "usual" treatment of advancing end-stage disease?

Authors:  Frederick A Smith
Journal:  J IMA       Date:  2011-12

10.  Evaluation and comparison of two prognostic scores and the physicians' estimate of survival in terminally ill patients.

Authors:  S Stiel; L Bertram; S Neuhaus; F Nauck; C Ostgathe; F Elsner; L Radbruch
Journal:  Support Care Cancer       Date:  2009-04-21       Impact factor: 3.603

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.