Literature DB >> 10203876

Successful validation of the palliative prognostic score in terminally ill cancer patients. Italian Multicenter Study Group on Palliative Care.

M Maltoni1, O Nanni, M Pirovano, E Scarpi, M Indelli, C Martini, M Monti, E Arnoldi, L Piva, A Ravaioli, G Cruciani, R Labianca, D Amadori.   

Abstract

The aim of this work was to validate a previously constructed prognostic score for terminally ill cancer patients in order to determine its value in clinical practice. The Palliative Prognostic Score (PaP Score) was tested on a population of 451 evaluable patients consecutively entered in the hospice programs of 14 Italian Palliative Care Centers. The score subdivided patients into three specific risk classes based on the following six predictive factors of death: dyspnea, anorexia, Karnofsky Performance Status (KPS), Clinical Prediction of Survival (CPS), total white blood count (WBC), and lymphocyte percentage. The performance of the PaP Score index in the training and testing sets was evaluated by comparing mortality rates in the 3 prognostic risk categories. The score was able to subdivide the validation-independent case series into three risk groups. Median survival was 76 days in group A (with a 86.6% probability of 30-day survival), 32 days in group B (with a 51.6% probability of 30-day survival), and 14 days in group C (with a 16.9% probability of 30-day survival). Survival medians were remarkably similar to those of the training set (64 days in group A, 32 days in group B, and 11 days in group C). In the complex process of staging terminally ill patients, the PaP Score is a simple instrument which permits a more accurate quantification of expected survival. It has been validated on an independent case series and is thus suitable for use in clinical practice.

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Year:  1999        PMID: 10203876     DOI: 10.1016/s0885-3924(98)00146-8

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


  74 in total

1.  Development and cross-validation of the in-hospital mortality prediction in advanced cancer patients score: a preliminary study.

Authors:  David Hui; Kelly Kilgore; Bryan Fellman; Diana Urbauer; Stacy Hall; Julieta Fajardo; Wadih Rhondali; Jung Hun Kang; Egidio Del Fabbro; Donna Zhukovsky; Eduardo Bruera
Journal:  J Palliat Med       Date:  2012-06-04       Impact factor: 2.947

2.  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

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

Review 4.  Chemotherapy at end-of-life: an integration of oncology and palliative team.

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7.  Chemotherapy in the last 30 days of life of advanced cancer patients.

Authors:  Paola Pacetti; Giovanni Paganini; Massimo Orlandi; Andrea Mambrini; M Cristina Pennucci; Alfonso Del Freo; Maurizio Cantore
Journal:  Support Care Cancer       Date:  2015-04-22       Impact factor: 3.603

8.  Enhancing family physician capacity to deliver quality palliative home care: an end-of-life, shared-care model.

Authors:  Denise Marshall; Doris Howell; Kevin Brazil; Michelle Howard; Alan Taniguchi
Journal:  Can Fam Physician       Date:  2008-12       Impact factor: 3.275

9.  Setting up a palliative care clinic within a radiotherapy department: a model for developing countries.

Authors:  M Bansal; Firuza D Patel; Bidhu K Mohanti; S C Sharma
Journal:  Support Care Cancer       Date:  2003-05-03       Impact factor: 3.603

10.  Can anorexia predict patient satisfaction with quality of life in advanced cancer?

Authors:  Christopher G Lis; Digant Gupta; James F Grutsch
Journal:  Support Care Cancer       Date:  2008-04-02       Impact factor: 3.603

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