title: Prognostic factors in cervical carcinoma: a multivariate approach.
abstract: The primary aim of this study was the identification of factors known at the time of primary treatment and contributing to the risk of developing recurrent cancerous lesions. This chapter presents a multivariate approach to the identification of prognostic factors in cervical cancer. Using logistic regression analysis, a correct prediction rate of approximately 80% was reached for recurrence or death of disease. The number of lymph nodes involved, border zone and parametrial involvement, exophytic tumour growth and mitotic activity were identified as prognostic factors.
authors.forename: J
authors.initials: J
authors.lastname: Haas
authors.forename: H
authors.initials: H
authors.lastname: Friedl
mesh_terms: D002277:Carcinoma / Q000473:pathology*; D005260:Female; D006801:Humans; D008207:Lymphatic Metastasis; D009364:Neoplasm Recurrence, Local / Q000473:pathology*; D011379:Prognosis; D012044:Regression Analysis; D012307:Risk Factors; D002583:Uterine Cervical Neoplasms / Q000473:pathology*