Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma

Abstract Objectives: To design user friendly guides to prognosis for patients who have had invasive primary cutaneous malignant melanomas surgically excised. Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma pa...

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Veröffentlicht in:BMJ 1995-12, Vol.311 (7019), p.1536-1541
Hauptverfasser: Aitchison, Tom C, Sirel, Jane M, Watt, Douglas C, MacKie, Rona M
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container_end_page 1541
container_issue 7019
container_start_page 1536
container_title BMJ
container_volume 311
creator Aitchison, Tom C
Sirel, Jane M
Watt, Douglas C
MacKie, Rona M
description Abstract Objectives: To design user friendly guides to prognosis for patients who have had invasive primary cutaneous malignant melanomas surgically excised. Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. Conclusions: The prognostic trees are simple to use and give more accurate prognosis for individual patients than is currently available from tumour thickness alone.
doi_str_mv 10.1136/bmj.311.7019.1536
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Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. 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Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. 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source JSTOR Archive Collection A-Z Listing; Alma/SFX Local Collection
subjects Clinical trials
Drug design
Health outcomes
Lesions
Melanoma
Men
Modeling
Neoplasia
Prognosis
Statistical models
title Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma
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