Literature DB >> 19608378

Prediction of survival time in advanced cancer: a prognostic scale for Chinese patients.

Zhou Lingjun1, Cui Jing, Lu Jian, Bee Wee, Zhao Jijun.   

Abstract

This study reports the development of a simple Chinese Prognostic Scale (ChPS) for predicting survival in advanced cancer patients. Data relating to 1,019 advanced cancer patients referred to a palliative home care service were retrospectively analyzed. The records were divided into two sets using stratified random sampling: 80% as a "training set" for developing the scale and 20% as a "testing set" for validating it. Demographic data, symptoms/signs, Karnofsky Performance Status (KPS), quality of life (QOL), and survival time were statistically analyzed to create the scale. In the training set, a total of 10 prognostic factors were determined: weight loss, nausea, dysphagia, dyspnea, edema, cachexia, dehydration, gender, KPS, and QOL. The ChPS score was calculated for each case by summing the partial scores of prognostic factors, ranging from 0 (no altered variables) to 124 (maximal altered variables). The score for a cutoff point of three months' survival was 28 (95% confidence interval: 26.6, 28.9). When scores were more than 28, survival appeared to be usually less than three months. The accuracy rate was 69.4% in the training set and 65.4% in the testing set. In conclusion, it is possible with this prognostic scale to guide physicians in predicting more accurately the likely survival time of Chinese cancer patients, and to help policy makers in establishing appropriate referral for hospice care.

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Year:  2009        PMID: 19608378     DOI: 10.1016/j.jpainsymman.2008.12.005

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


  11 in total

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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.  Predicting life expectancy in patients with metastatic cancer receiving palliative radiotherapy: the TEACHH model.

Authors:  Monica S Krishnan; Zachary Epstein-Peterson; Yu-Hui Chen; Yolanda D Tseng; Alexi A Wright; Jennifer S Temel; Paul Catalano; Tracy A Balboni
Journal:  Cancer       Date:  2013-10-02       Impact factor: 6.860

3.  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

4.  Prediction of survival in terminally ill cancer patients at the time of terminal cancer diagnosis.

Authors:  Yu Jung Kim; Su-Jung Kim; June Koo Lee; Won-Suk Choi; Jin Hyun Park; Hee Jun Kim; Sung Hoon Sim; Keun-Wook Lee; Se-Hoon Lee; Jee Hyun Kim; Dong-Wan Kim; Jong Seok Lee; Yung-Jue Bang; Dae Seog Heo
Journal:  J Cancer Res Clin Oncol       Date:  2014-05-04       Impact factor: 4.553

5.  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

6.  Adverse Events in Home Care: Identifying and Responding with interRAI Scales and Clinical Assessment Protocols.

Authors:  Chi-Ling Joanna Sinn; Raquel Souza Dias Betini; Jennifer Wright; Lorri Eckler; Byung Wook Chang; Sophie Hogeveen; Luke Turcotte; John P Hirdes
Journal:  Can J Aging       Date:  2018-01-08

7.  The prevalence of deranged C-reactive protein and albumin in patients with incurable cancer approaching death.

Authors:  Sarah Gray; Bertil Axelsson
Journal:  PLoS One       Date:  2018-03-13       Impact factor: 3.240

8.  A non-lab nomogram of survival prediction in home hospice care patients with gastrointestinal cancer.

Authors:  Muqing Wang; Xubin Jing; Weihua Cao; Yicheng Zeng; Chaofen Wu; Weilong Zeng; Wenxia Chen; Xi Hu; Yanna Zhou; Xianbin Cai
Journal:  BMC Palliat Care       Date:  2020-12-07       Impact factor: 3.234

9.  Postoperative Long-Term Independence Among the Elderly With Meningiomas: Function Evolution, Determinant Identification, and Prediction Model Development.

Authors:  Haoyi Li; Huawei Huang; Xiaokang Zhang; Yonggang Wang; Xiaohui Ren; Yong Cui; Dali Sui; Song Lin; Zhongli Jiang; Guobin Zhang
Journal:  Front Oncol       Date:  2021-03-05       Impact factor: 6.244

10.  Validation of the Palliative Prognostic Index, Performance Status-Based Palliative Prognostic Index and Chinese Prognostic Scale in a home palliative care setting for patients with advanced cancer in China.

Authors:  Jun Zhou; Sitao Xu; Ziye Cao; Jing Tang; Xiang Fang; Ling Qin; Fangping Zhou; Yuzhen He; Xueren Zhong; Mingcai Hu; Yan Wang; Fengjuan Lu; Yongzheng Bao; Xiangheng Dai; Qiang Wu
Journal:  BMC Palliat Care       Date:  2020-10-31       Impact factor: 3.234

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