The pathology of melanoma as a basis for prognostic models: the UCSF experience.
A patient survival model is proposed which allows visualization of a data base, and which includes only routine and commonly recorded attributes in most melanoma clinics. It is proposed that a network of such data be collected for meta-analysis (MELNET), which could make stratification within the individual subsets more significant by virtue of the large numbers. Such a network could then be fully tested in various melanoma clinics for clinical usefulness.
Sagebiel
R W
RW
Mount Zion Medical Center, UC San Francisco 94120.
D016208:Databases, Factual; D005260:Female; D006801:Humans; D008297:Male; D008545:Melanoma / Q000401:mortality* / Q000473:pathology*; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D009367:Neoplasm Staging; D011379:Prognosis; D016019:Survival Analysis