Literature DB >> 15276192

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

Rong-Bin Chuang1, Wen-Yu Hu, Tai-Yuan Chiu, Ching-Yu Chen.   

Abstract

We prospectively identified prognostic factors and developed a prognostic scale in 356 Taiwanese terminal cancer patients (training set). Demographic data, severity of symptoms/signs, and survival were statistically analyzed to create the scale, which was tested in another 184 patients (testing set). In the training set, liver and lung metastases, functional performance status, weight loss, edema, cognitive impairment, tiredness, and ascites were independently associated with shorter survival (multivariate analysis). The scale ranged from 0.0 (no altered variables) to 8.5 (maximal alteration for all variables). When scores were < 3.5, 2-week survival was predicted with 0.72 and 0.61 accuracy for the training and testing sets, respectively. With scores < 6.0, 1-week survival was predicted with 0.72 and 0.66 accuracy, respectively. This scale, which includes lung and liver metastases and severity of symptoms/signs, may help in identifying the stage of dying and its corresponding symptoms/signs and also in improving survival prediction in terminal cancer patients. Copyright 2004 U.S. Cancer Pain Relief Committee

Entities:  

Mesh:

Year:  2004        PMID: 15276192     DOI: 10.1016/j.jpainsymman.2003.11.008

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


  29 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.  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 3.  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

4.  Certain bio-psychosocial-spiritual problems associated with dyspnea among advanced cancer patients in Taiwan.

Authors:  Chih-Te Ho; Hua-Shui Hsu; Chia-Ing Li; Chiu-Shong Liu; Chin-Yu Lin; Cheng-Chieh Lin; Wen-Yuan Lin
Journal:  Support Care Cancer       Date:  2011-09-27       Impact factor: 3.603

Review 5.  Risk assessment models to estimate cancer probabilities.

Authors:  Constance M Johnson; Derek Smolenski
Journal:  Curr Oncol Rep       Date:  2007-11       Impact factor: 5.075

6.  The cancer anorexia/weight loss syndrome: exploring associations with single nucleotide polymorphisms (SNPs) of inflammatory cytokines in patients with non-small cell lung cancer.

Authors:  Aminah Jatoi; Yingwei Qi; Glenda Kendall; Ruoxiang Jiang; Sheila McNallan; Julie Cunningham; Sumithra Mandrekar; Ping Yang
Journal:  Support Care Cancer       Date:  2009-12-15       Impact factor: 3.603

7.  Variation by stage in the effects of prediagnosis weight loss on mortality in a prospective cohort of esophageal cancer patients.

Authors:  S Shen; J L Araujo; N K Altorki; J R Sonett; A Rodriguez; K Sungur-Stasik; C F Spinelli; A I Neugut; J A Abrams
Journal:  Dis Esophagus       Date:  2017-09-01       Impact factor: 3.429

8.  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

9.  A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer.

Authors:  Jui-Kun Chiang; Yu-Hsiang Cheng; Malcolm Koo; Yee-Hsin Kao; Ching-Yu Chen
Journal:  Jpn J Clin Oncol       Date:  2010-01-22       Impact factor: 3.019

10.  A proposed prognostic 7-day survival formula for patients with terminal cancer.

Authors:  Jui-Kun Chiang; Ning-Sheng Lai; Mei-Huang Wang; Shi-Chi Chen; Yee-Hsin Kao
Journal:  BMC Public Health       Date:  2009-09-29       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.