Application of an algorithm for staging small-cell lung cancer can save one third of the initial evaluation costs.
Design of a cost-effective algorithm for staging disease in patients with small-cell lung cancer.
An algorithm was constructed by analyzing all permutations of a sequence of procedures required to stage disease in patients with small-cell lung cancer.
Procedural costs were determined, and the model was applied to the small-cell lung cancer patient population treated at the National Cancer Institute, Bethesda, Md, from 1973 to 1989.
The final algorithm was derived from the permutation with the lowest cost per accurately staged patient.
A single government institute, the National Cancer Institute.
Mots-clés Pascal : Appareil respiratoire pathologie, Economie santé, Tumeur maligne, Poumon, Homme, Epithélioma petite cellule, Algorithme, Coût, Classification par stade
Mots-clés Pascal anglais : Respiratory disease, Health economy, Malignant tumor, Lung, Human, Oat cell carcinoma, Algorithm, Costs, Staging
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0333626
Code Inist : 002B11A. Création : 199406.