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评估不同年龄段乳腺癌发生风险:生存技术的应用

Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques.

作者信息

Rajbongshi N, Nath D C, Mahanta L B

机构信息

Central Computational and Numerical Sciences Division (CCNS), Institute of Advanced Study in Science and Technology (IASST) (An Autonomous Institute under Department of Science and Technology), Guwahati, India. Email:

出版信息

Asian Pac J Cancer Prev. 2018 Nov 28;19(11):3033-3038. doi: 10.31557/APJCP.2018.19.11.3033.

Abstract

Background: Awareness is the primary means to control breast cancer occurrence. The purpose of the present work is to study the risk of breast cancer occurrence in different age group, for the study area, Assam, India, by means of survival analysis techniques. Methods: Survival and hazard functions are key concepts in survival analysis for describing the distribution of event times. In the present research a new individialized model has been proposed for cumulative hazard function, taking gamma probability distribution as probability distribution of breast cancer occurrences. Kaplan Meier Survival method has been applied to find out the probability of diseases occurrence in the early menarche and late menarche group. The data used for implementation were collected from the Record Department of a prime local cancer institute, for the period 2010-2012. The information for the risk factor age at menarche were collected from the patients registered during August 2011 to February 2012. Results: The study reveals that in the study area, cumulative hazard of the women belonging to 35 to 50 years is higher than the early and late aged women. The cumulative hazard plot with shape parameter 0.5, 1 and 10 shows that cumulative risk for early aged women are greater than the late age women but when this values is increased from 10, the opposite trend is observed. Further, the median age of disease occurrence among early menarche group is 52 years and for late menarche it is 54 years. Conclusion: The model developed could successfully point out the age group for women lying at higher risk of breast cancer occurrence. Additionally the important risk factor, age at menarche, was effectively applied to supplement to this calculation. It is hoped that practical use of this method would enhance not only awareness but also early detection of the said disease.

摘要

背景

意识是控制乳腺癌发生的主要手段。本研究的目的是通过生存分析技术,研究印度阿萨姆邦研究区域不同年龄组患乳腺癌的风险。

方法

生存函数和风险函数是生存分析中描述事件时间分布的关键概念。在本研究中,提出了一种新的个性化模型用于累积风险函数,将伽马概率分布作为乳腺癌发生的概率分布。应用Kaplan Meier生存法来找出初潮早和初潮晚组疾病发生的概率。用于实施的数据是从当地一家主要癌症研究所的记录部门收集的,时间跨度为2010 - 2012年。初潮年龄这一风险因素的信息是从2011年8月至2012年2月期间登记的患者中收集的。

结果

研究表明,在研究区域,35至50岁女性的累积风险高于年龄较大和较小的女性。形状参数为0.5、1和10的累积风险图显示,年龄较小女性的累积风险大于年龄较大女性,但当该值从10增加时,观察到相反的趋势。此外,初潮早组疾病发生的中位年龄为52岁,初潮晚组为54岁。

结论

所开发的模型能够成功指出患乳腺癌风险较高的女性年龄组。此外,重要的风险因素初潮年龄被有效地应用于补充这一计算。希望该方法的实际应用不仅能提高对该疾病的认识还能促进早期检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ff/6318421/b2b2ff732bac/APJCP-19-3033-g012.jpg

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