Literature DB >> 11728792

Independent prospective validation of the PaP score in terminally ill patients referred to a hospital-based palliative medicine consultation service.

P Glare1, K Virik.   

Abstract

The aim of this prospective study was to validate the Palliative Prognostic (PaP) Score in a population of hospitalized patients in Australia in order to determine its applicability in a different setting to that in which it was originally developed. Individual PaP scores were calculated for 100 terminally-ill patients consecutively referred to a palliative medicine consultation service based in a university teaching hospital. The PaP score was able to subdivide this heterogeneous patient population into three groups, the differences being highly statistically significant. Median survivals for the three groups were, respectively, 60 days (95% confidence interval 41-89 days), 34 days (25-40), and 8 days (2-11). The percentage survival at 30 days for the three groups was 66%, 54%, and 5% respectively. These data suggest that the PaP scoring system is a reasonably robust method for prognostication in advanced cancer that appears to be independent of the setting. The short survival of the third group in this study, which is consistent with the presence of a subset of gravely ill patients within the hospital setting who are referred to specialist palliative care services very late in the course of their illness, raises important issues for the care and treatment of these individuals.

Entities:  

Mesh:

Year:  2001        PMID: 11728792     DOI: 10.1016/s0885-3924(01)00341-4

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


  27 in total

1.  Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium.

Authors:  Emanuela Scarpi; Marco Maltoni; Rosalba Miceli; Luigi Mariani; Augusto Caraceni; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2011-10-31

2.  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

3.  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

4.  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

5.  Survival prediction and frequency of anticancer treatment in cancer patients hospitalized due to acute conditions. Role of clinical parameters and PaP score.

Authors:  Gianmauro Numico; Marcella Occelli; Elvio G Russi; Nicola Silvestris; Raffaella Pasero; Elena Fea; Cristina Granetto; Gianna Di Costanzo; Ida Colantonio; Milena Gasco; Ornella Garrone; Valentina Polla; Marco C Merlano
Journal:  Support Care Cancer       Date:  2011-05-11       Impact factor: 3.603

Review 6.  Physician perspectives on resuscitation status and DNR order in elderly cancer patients.

Authors:  Sachin Trivedi
Journal:  Rep Pract Oncol Radiother       Date:  2013-01-16

7.  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

8.  Symptom improvement as prognostic factor for survival in cancer patients undergoing palliative care: a pilot study.

Authors:  Filomena Narducci; Roberta Grande; Lucia Mentuccia; Tiziana Trapasso; Isabella Sperduti; Emanuela Magnolfi; Anna Maria Fariello; Donatello Gemma; Teresa Gamucci
Journal:  Support Care Cancer       Date:  2011-06-19       Impact factor: 3.603

9.  Predictors of inpatient mortality in an acute palliative care unit at a comprehensive cancer center.

Authors:  Ahmed Elsayem; Masanori Mori; Henrique A Parsons; Mark F Munsell; David Hui; Marvin O Delgado-Guay; Timotheos Paraskevopoulos; Nada A Fadul; Eduardo Bruera
Journal:  Support Care Cancer       Date:  2009-04-07       Impact factor: 3.603

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.