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用于辅助皮肤恶性黑色素瘤患者预后评估的预后树。苏格兰黑色素瘤研究小组。

Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma. Scottish Melanoma Group.

作者信息

Aitchison T C, Sirel J M, Watt D C, MacKie R M

机构信息

Department of Statistics, Glasgow University.

出版信息

BMJ. 1995 Dec 9;311(7019):1536-9; discussion 1539-41. doi: 10.1136/bmj.311.7019.1536.

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.

摘要

目的

为接受过原发性皮肤恶性黑色素瘤手术切除的患者设计便于使用的预后指南。

设计

采用分类树方法的改编形式,为恶性黑色素瘤患者的四个不同亚组推导预后树,在这些亚组中,已知和可能的预后变量以不同方式相互作用。

地点

苏格兰。

研究对象

预后树的统计建模基于1978例患者,这些患者的原发性恶性黑色素瘤于1979 - 1986年首次诊断,有五年随访资料及所有相关临床病理数据。所得模型用1987年首次诊断的300例患者进行验证,这些患者也有相同信息。

主要观察指标

原发性皮肤恶性黑色素瘤诊断后的实际和预测生存率。

结果

患者的四个亚组为患有溃疡型和非溃疡型皮肤原发性黑色素瘤的男性和女性。模型验证显示相关亚组患者的实际状况与模型预测状况之间具有高度一致性。

结论

预后树易于使用,与目前仅根据肿瘤厚度得出的预后相比,能为个体患者提供更准确的预后。

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