Prediction of survival time in advanced cancer: a prognostic scale for Chinese patients.
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.
Lingjun
Zhou
Z
Department of Nursing, Changhai Hospital, Second Military Medical University, Shanghai, China.
Jing
Cui
C
Jian
Lu
L
Wee
Bee
B
Jijun
Zhao
Z
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000401:mortality*; D011379:Prognosis; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D012680:Sensitivity and Specificity; D016019:Survival Analysis; D015996:Survival Rate