Literature DB >> 22042788

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

Emanuela Scarpi1, Marco Maltoni, Rosalba Miceli, Luigi Mariani, Augusto Caraceni, Dino Amadori, Oriana Nanni.   

Abstract

PURPOSE: An existing and validated palliative prognostic (PaP) score predicts survival in terminally ill cancer patients based on dyspnea, anorexia, Karnofsky performance status score, clinical prediction of survival, total WBC, and lymphocyte percentage. The PaP score assigns patients to three different risk groups according to a 30-day survival probability--group A, >70%; group B, 30%-70%; group C, <30%. The impact of delirium is known but was not incorporated into the PaP score.
MATERIALS AND METHODS: Our aim was to incorporate information on delirium into the PaP score based on a retrospective series of 361 terminally ill cancer patients. We followed the approach of "validation by calibration," proposed by van Houwelingen and later adapted by Miceli for achieving score revision with inclusion of a new variable. The discriminating performance of the scores was estimated using the K statistic.
RESULTS: The prognostic contribution of delirium was confirmed as statistically significant (p < .001) and the variable was accordingly incorporated into the PaP score (D-PaP score). Following this revision, 30-day survival estimates in groups A, B, and C were 83%, 50%, and 9% for the D-PaP score and 87%, 51%, and 16% for the PaP score, respectively. The overall performance of the D-PaP score was better than that of the PaP score.
CONCLUSION: The revision of the PaP score was carried out by modifying the cutoff values used for prognostic grouping without, however, affecting the partial scores of the original tool. The performance of the D-PaP score was better than that of the PaP score and its key feature of simplicity was maintained.

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Year:  2011        PMID: 22042788      PMCID: PMC3248779          DOI: 10.1634/theoncologist.2011-0130

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  31 in total

1.  Validation, calibration, revision and combination of prognostic survival models.

Authors:  H C van Houwelingen
Journal:  Stat Med       Date:  2000-12-30       Impact factor: 2.373

2.  Impact of delirium on the short term prognosis of advanced cancer patients. Italian Multicenter Study Group on Palliative Care.

Authors:  A Caraceni; O Nanni; M Maltoni; L Piva; M Indelli; E Arnoldi; M Monti; L Montanari; D Amadori; F De Conno
Journal:  Cancer       Date:  2000-09-01       Impact factor: 6.860

3.  Development of terminal cancer prognostic score as an index in terminally ill cancer patients.

Authors:  Y H Yun; D S Heo; B Y Heo; T W Yoo; J M Bae; S H Ahn
Journal:  Oncol Rep       Date:  2001 Jul-Aug       Impact factor: 3.906

4.  Comparing tumour staging and grading systems: a case study and a review of the issues, using thymoma as a model.

Authors:  C B Begg; L D Cramer; E S Venkatraman; J Rosai
Journal:  Stat Med       Date:  2000-08-15       Impact factor: 2.373

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

Authors:  P Glare; K Virik
Journal:  J Pain Symptom Manage       Date:  2001-11       Impact factor: 3.612

6.  Clarifying confusion: the confusion assessment method. A new method for detection of delirium.

Authors:  S K Inouye; C H van Dyck; C A Alessi; S Balkin; A P Siegal; R I Horwitz
Journal:  Ann Intern Med       Date:  1990-12-15       Impact factor: 25.391

Review 7.  How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review.

Authors:  E Chow; T Harth; G Hruby; J Finkelstein; J Wu; C Danjoux
Journal:  Clin Oncol (R Coll Radiol)       Date:  2001       Impact factor: 4.126

8.  Prediction of survival in terminal cancer patients in Taiwan: constructing a prognostic scale.

Authors:  Rong-Bin Chuang; Wen-Yu Hu; Tai-Yuan Chiu; Ching-Yu Chen
Journal:  J Pain Symptom Manage       Date:  2004-08       Impact factor: 3.612

9.  Trends in the aggressiveness of cancer care near the end of life.

Authors:  Craig C Earle; Bridget A Neville; Mary Beth Landrum; John Z Ayanian; Susan D Block; Jane C Weeks
Journal:  J Clin Oncol       Date:  2004-01-15       Impact factor: 44.544

10.  Accuracy of predictions of survival in later stages of cancer.

Authors:  C M Parkes
Journal:  Br Med J       Date:  1972-04-01
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  24 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

Review 2.  Chemotherapy at end-of-life: an integration of oncology and palliative team.

Authors:  Wing-lok Chan; Ka-on Lam; Wai-kwan Siu; Kwok-keung Yuen
Journal:  Support Care Cancer       Date:  2015-11-25       Impact factor: 3.603

3.  Delirium and Mortality in Critically Ill Children: Epidemiology and Outcomes of Pediatric Delirium.

Authors:  Chani Traube; Gabrielle Silver; Linda M Gerber; Savneet Kaur; Elizabeth A Mauer; Abigail Kerson; Christine Joyce; Bruce M Greenwald
Journal:  Crit Care Med       Date:  2017-05       Impact factor: 7.598

4.  Validation of the Chinese version of functional assessment of anorexia-cachexia therapy (FAACT) scale for measuring quality of life in cancer patients with cachexia.

Authors:  Ting Zhou; Kaixiang Yang; Sudip Thapa; Qiang Fu; Yongsheng Jiang; Shiying Yu
Journal:  Support Care Cancer       Date:  2016-11-29       Impact factor: 3.603

Review 5.  Dealing with prognostic uncertainty: the role of prognostic models and websites for patients with advanced cancer.

Authors:  David Hui; John P Maxwell; Carlos Eduardo Paiva
Journal:  Curr Opin Support Palliat Care       Date:  2019-12       Impact factor: 2.302

6.  Surprise Questions for Survival Prediction in Patients With Advanced Cancer: A Multicenter Prospective Cohort Study.

Authors:  Jun Hamano; Tatsuya Morita; Satoshi Inoue; Masayuki Ikenaga; Yoshihisa Matsumoto; Ryuichi Sekine; Takashi Yamaguchi; Takeshi Hirohashi; Tsukasa Tajima; Ryohei Tatara; Hiroaki Watanabe; Hiroyuki Otani; Chizuko Takigawa; Yoshinobu Matsuda; Hiroka Nagaoka; Masanori Mori; Naoki Yamamoto; Mie Shimizu; Takeshi Sasara; Hiroya Kinoshita
Journal:  Oncologist       Date:  2015-06-08

Review 7.  Delirium in patients with cancer: assessment, impact, mechanisms and management.

Authors:  Peter G Lawlor; Shirley H Bush
Journal:  Nat Rev Clin Oncol       Date:  2014-09-02       Impact factor: 66.675

Review 8.  Prognostication of Survival in Patients With Advanced Cancer: Predicting the Unpredictable?

Authors:  David Hui
Journal:  Cancer Control       Date:  2015-10       Impact factor: 3.302

9.  Symptom expression in advanced cancer patients admitted to hospice or home care with and without delirium.

Authors:  Sebastiano Mercadante; Francesco Masedu; Marco Maltoni; Daniela De Giovanni; Luigi Montanari; Cristina Pittureri; Raffaella Bertè; Domenico Russo; Laura Ursini; Franco Marinangeli; Federica Aielli
Journal:  Intern Emerg Med       Date:  2018-10-17       Impact factor: 3.397

10.  Advance Directives, Hospitalization, and Survival Among Advanced Cancer Patients with Delirium Presenting to the Emergency Department: A Prospective Study.

Authors:  Ahmed F Elsayem; Eduardo Bruera; Alan Valentine; Carla L Warneke; Geri L Wood; Sai-Ching J Yeung; Valda D Page; Julio Silvestre; Patricia A Brock; Knox H Todd
Journal:  Oncologist       Date:  2017-08-01
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