Parametric and the Cox risk model in the analysis of factors affecting the time of diagnosis of retinopathy with patients type 2 diabetes

IF 0.4 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
F. Keshavarzi, M. Askarishahi, Maryam Gholamniya Foumani, H. Falahzadeh
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引用次数: 2

Abstract

Background: The aim of this study was to compare the effectiveness of Cox model and Exponential parametric, Weibull, Log Normal and Log Logistic models in evaluating factors affecting retinopathy diagnostic time in patients with type 2 diabetes. Methods: In this prospective historical study, 400 patients with type 2 diabetes without retinopathy referred to the Ophthalmology Clinic of Yazd Diabetes Research Center in 2008 were followed up for diagnosis of retinopathy by January 2013. Significant variables in the univariate model were introduced into the Cox multivariate and parametric models to determine the effective factors on the time of retinopathy diagnosis. The criterion for comparing the performance of the models was the Akaike’s criterion. All calculations were performed using R software and a significant level of 0.05 was considered. Resuls: The mean and median time of retinopathy diagnosis was 52.46 and 58 months, respectively. 3% of patients in less than one year and 16% of patients in less than two years of retinopathy were diagnosed. Conclusion: According to Akaike’s criterion, Cox model has the best fit in determining the factors affecting the time of retinopathy diagnosis.
参数及Cox风险模型分析影响2型糖尿病视网膜病变诊断时间的因素
背景:本研究的目的是比较Cox模型与指数参数模型、威布尔模型、对数正态模型和对数Logistic模型评价2型糖尿病患者视网膜病变诊断时间影响因素的有效性。方法:对2008年至2013年1月在亚兹德糖尿病研究中心眼科门诊就诊的400例无视网膜病变的2型糖尿病患者进行随访,并对其视网膜病变进行诊断。将单变量模型中的显著变量引入Cox多变量和参数模型,确定影响视网膜病变诊断时间的有效因素。比较模型性能的标准为赤池准则。所有计算均采用R软件进行,考虑显著水平为0.05。结果:视网膜病变诊断的平均时间为52.46个月,中位时间为58个月。3%的患者在不到一年的时间和16%的患者在不到两年的时间内被诊断出视网膜病变。结论:根据赤池标准,Cox模型对确定视网膜病变诊断时间的影响因素具有最佳的拟合性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AIMS Medical Science
AIMS Medical Science MEDICINE, RESEARCH & EXPERIMENTAL-
自引率
14.30%
发文量
20
审稿时长
12 weeks
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