Biomaterial Database

Survival with malignant melanoma: a regression analysis of prognostic factors. 1982

K T Drzewiecki, and P K Andersen

A Cox's regression model for survival data has been applied to investigate which of the many clinical and histopathologic parameters have a significant influence on the survival probability of the patients with primary malignant melanoma. The thicker the tumor and the deeper the invasion, the poorer the prognosis. Localization of the tumor on the mucous membranes, ulceration, and presence of epithelioid cells are all bad prognostic signs. The stronger the rim of inflammatory cell infiltrate, the better the prognosis for the patient. Females have better prognosis than males and prognosis aggravate with age. Using these parameters it is possible to make a prognosis forecast for the individual patient. Two patients, one with a favorable set of parameters and another with an unfavorable set, are described.

UI	MeSH Term	Description	Entries
D008545	Melanoma	A malignant neoplasm derived from cells that are capable of forming melanin, which may occur in the skin of any part of the body, in the eye, or, rarely, in the mucous membranes of the genitalia, anus, oral cavity, or other sites. It occurs mostly in adults and may originate de novo or from a pigmented nevus or malignant lentigo. Melanomas frequently metastasize widely, and the regional lymph nodes, liver, lungs, and brain are likely to be involved. The incidence of malignant skin melanomas is rising rapidly in all parts of the world. (Stedman, 25th ed; from Rook et al., Textbook of Dermatology, 4th ed, p2445)	Malignant Melanoma,Malignant Melanomas,Melanoma, Malignant,Melanomas,Melanomas, Malignant
D009367	Neoplasm Staging	Methods which attempt to express in replicable terms the extent of the neoplasm in the patient.	Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
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
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
D005500	Follow-Up Studies	Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease.	Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D013518	Surgery, Plastic	The branch of surgery concerned with restoration, reconstruction, or improvement of defective, damaged, or missing structures.	Cosmetic Surgery,Esthetic Surgery,Plastic Surgery,Surgery, Cosmetic,Surgery, Esthetic,Reconstructive Surgery,Surgery, Reconstructive