Cancer · 1987 · 37 citations · 15 references
MedicineHematologyOncologyHematologic OncologyHematopathologySurvival AnalysisBone Marrow EvaluationBone Marrow PathologyMortality AnalysisMyelodysplastic SyndromesPrognostic AssessmentSurvival PredictionAcute Myeloid Leukemia ProgressionExpected Prediction ErrorLogistic RegressionPredictionPrognostic Factors AnalysisPrognostic Index DevelopmentPrognostic IndicesPrognostic Prediction
Two groups of patients with a myelodysplastic syndrome (MDS) were analyzed by univariate (log-rank test) and multivariate (logistic regression) analyses to detect the most important prognostic factors. By stepwise analysis, the variables found to have prognostic significance for death were as follows: age, percentage of marrow blasts, presence of circulating blasts, and number of platelets. The variables found significant for predicting progression to acute leukemia (AL) were as follows: hemoglobin level, percentage of marrow blasts, and presence of circulating blasts. The first group of 193 patients was used to build a prognostic index which reflected the probability of a given patient dying or progressing to AL within 6, 9, or 12 months. The application of this prognostic index to a test group of 143 patients was used to determine the expected error rate and the validity of the prediction rule.
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Proposals for the classification of the myelodysplastic syndromes
John M. Bennett, Daniel Catovsky, MT Daniel et al. · British Journal of Haematology · 1982 · 3.7K citations
Medicine, Hematology, Pathology +12
Regression models for prognostic prediction: advantages, problems, and suggested solutions.
Harrell Fe, Lee Kl, David B. Matchar et al. · PubMed · 1985 · 567 citations