Literature DB >> 11591094

Improved accuracy of physicians' survival prediction for terminally ill cancer patients using the Palliative Prognostic Index.

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

Abstract

The Palliative Prognostic Index (PPI) has recently been developed for survival prediction in terminally ill cancer patients. To clarify whether physicians' clinical prediction of survival (CPS) can be improved using this objective assessment aid, two sequential prospective studies were performed on two independent series of hospice inpatients (n = 150 and 108). In the first study, the CPS was prospectively recorded by primary physicians on the basis of their clinical experiences. In the second study, physicians estimated patient prognoses with a reference to the PPI score. The cases where the differences between actual survival (AS) and CPS were 28 days or longer significantly decreased in the second study compared to the first study (42% vs 23%, P < 0.01). Also, the cases where AS was either twice longer or half shorter than CPS significantly declined (49% vs 37%, P = 0.050). As well, serious errors, defined as the cases where AS was either (a) 28 days and twice longer than CPS or (b) 28 days and half shorter than CPS, significantly decreased from 27% in the first study to 16% in the second study (P = 0.028). In conclusion, the PPI can contribute to improvement in physicians' ability to predict survival of terminally ill cancer patients.

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Year:  2001        PMID: 11591094     DOI: 10.1191/026921601680419474

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


  21 in total

1.  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

2.  How long have I got?

Authors:  Cornelius J Woelk
Journal:  Can Fam Physician       Date:  2009-12       Impact factor: 3.275

3.  A scoring system to guide the decision for a new systemic treatment after at least two lines of palliative chemotherapy for metastatic cancers: a prospective study.

Authors:  Brice Chanez; François Bertucci; Marine Gilabert; Anne Madroszyk; Frédérique Rousseau; Delphine Perrot; Patrice Viens; Jean-Luc Raoul
Journal:  Support Care Cancer       Date:  2017-03-28       Impact factor: 3.603

4.  Prediction models in cancer care.

Authors:  Andrew J Vickers
Journal:  CA Cancer J Clin       Date:  2011-06-23       Impact factor: 508.702

5.  How palliative care professionals deal with predicting life expectancy at the end of life: predictors and accuracy.

Authors:  Sara Mandelli; Emma Riva; Mauro Tettamanti; Ugo Lucca; Davide Lombardi; Gianmaria Miolo; Simon Spazzapan; Rita Marson
Journal:  Support Care Cancer       Date:  2020-08-31       Impact factor: 3.603

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

Authors:  Erik K Fromme; Mary Denise Smith; Paul B Bascom; Tawni Kenworthy-Heinige; Karen S Lyons; Susan W Tolle
Journal:  J Palliat Med       Date:  2010-12-03       Impact factor: 2.947

7.  Magnitude of score change for the palliative prognostic index for survival prediction in patients with poor prognostic terminal cancer.

Authors:  Chia-Yen Hung; Hung-Ming Wang; Chen-Yi Kao; Yung-Chang Lin; Jen-Shi Chen; Yu-Shin Hung; Wen-Chi Chou
Journal:  Support Care Cancer       Date:  2014-05-06       Impact factor: 3.603

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.  Variations in vital signs in the last days of life in patients with advanced cancer.

Authors:  Sebastian Bruera; Gary Chisholm; Renata Dos Santos; Camila Crovador; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-14       Impact factor: 3.612

10.  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

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