Healthc Inform Res.  2015 Apr;21(2):134-137. 10.4258/hir.2015.21.2.134.

Development of Individual Survival Estimating Program for Cancer Patients' Management

• Chang MC

• KMID: 2284617
• DOI: http://doi.org/10.4258/hir.2015.21.2.134

Abstract

OBJECTIVES
The goal of this report is to present an individual patient's survival estimation curve using the each institution's survival data after Cox proportional hazard analysis.
METHODS
The program was developed in three parts: input of basic data from Cox proportional hazard analysis, input of individual patient's covariates, and presentation of individual patient's survival curve. In the first part, the average survival rates with each survival time were entered as the means of covariates using the results of Cox proportional hazard analysis. In the second part, the individual patient's values of each covariate were entered for the calculation of survival estimation. In the third part, the survival curve was displayed according to the input data.
RESULTS
The data of 2,652 breast cancer patients were analyzed. Cox regression analysis was conducted using the covariates of age, tumor size, N stage, and M stage. The individual patient's survival curve was presented using the basic data and covariate factors. In the breast cancer patients, the program presented survival curves according to each patient's age, tumor size, N stage, and M stage. The data of 251 thyroid cancer patients were analyzed by a similar method.
CONCLUSIONS
We developed a program to present individual survival curves of cancer patients. This program will be useful for clinicians to assist their decision-making and discussion with patients.

Keyword

Survival; Prognosis; Neoplasms; Software; Computers

MeSH Terms

Breast Neoplasms
Humans
Prognosis
Survival Rate
Thyroid Neoplasms

Figure

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  Figure 1 Overall illustration of program. It is composed of three parts: input of basic data, input of patient's covariates, and display of individual's survival curve.

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  Figure 2 Average survival rates with each survival time were entered as the mean of covariate according to the results of Cox proportional hazard analysis.

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  Figure 3 Name, unit, coefficient, and mean value of each covariate were entered for the calculation of survival rate.

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  Figure 4 Individual patient's value of each covariate was entered for the calculation of survival rate.

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  Figure 5 Individual patient's value of each covariate was entered for the calculation of survival rate.

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  Figure 6 Survival curve of thyroid cancer patients was displayed according to the input data.

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