[Prognostic analysis of four pathological features in carcinoma of the uterine cervix and its clinical significance]. 1986

Y Zhou, and L Zhang

The correlation between different pathological features of biopsy specimen and the five year survival rate of 442 patients with carcinoma of uterine cervix treated in our hospital during 1968 to 1980, were studied by means of gradual regression. The result showed that the five year survival rate was influenced, at different levels, by the pathological features. The peritumoral lymphocytic infiltration was the most significant factor influencing the prognosis. Then were the fibrous tissue reaction and the cell type but the mode of invasion was insignificant. The best regression equation to predict the prognosis of patients with carcinoma of uterine cervix was established by gradual choosing. By this equation, we could directly calculate the probability of the five year survival of the patient. It was proved by retrospective and prospective analysis that the equation could accurately reflect the real five year survival rate of patients with carcinoma of uterine cervix.

UI MeSH Term Description Entries
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009361 Neoplasm Invasiveness Ability of neoplasms to infiltrate and actively destroy surrounding tissue. Invasiveness, Neoplasm,Neoplasm Invasion,Invasion, Neoplasm
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002294 Carcinoma, Squamous Cell A carcinoma derived from stratified SQUAMOUS EPITHELIAL CELLS. It may also occur in sites where glandular or columnar epithelium is normally present. (From Stedman, 25th ed) Carcinoma, Epidermoid,Carcinoma, Planocellular,Carcinoma, Squamous,Squamous Cell Carcinoma,Carcinomas, Epidermoid,Carcinomas, Planocellular,Carcinomas, Squamous,Carcinomas, Squamous Cell,Epidermoid Carcinoma,Epidermoid Carcinomas,Planocellular Carcinoma,Planocellular Carcinomas,Squamous Carcinoma,Squamous Carcinomas,Squamous Cell Carcinomas
D002583 Uterine Cervical Neoplasms Tumors or cancer of the UTERINE CERVIX. Cancer of Cervix,Cancer of the Cervix,Cancer of the Uterine Cervix,Cervical Cancer,Cervical Neoplasms,Cervix Cancer,Cervix Neoplasms,Neoplasms, Cervical,Neoplasms, Cervix,Uterine Cervical Cancer,Cancer, Cervical,Cancer, Cervix,Cancer, Uterine Cervical,Cervical Cancer, Uterine,Cervical Cancers,Cervical Neoplasm,Cervical Neoplasm, Uterine,Cervix Neoplasm,Neoplasm, Cervix,Neoplasm, Uterine Cervical,Uterine Cervical Cancers,Uterine Cervical Neoplasm
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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