背景:本文通过系统回顾文献,重点是提取用于预测糖尿病并发症的标准特征集。它是按照PRISMA的指导方针进行和报告的,一种著名的系统评价和荟萃分析方法。这项研究中包含的研究文章是使用搜索引擎“WebofScience”在八年中提取的。糖尿病最常见的并发症,糖尿病性神经病,视网膜病变,肾病,研究中考虑了心血管疾病。
方法:通过仔细检查电子健康记录的标准来识别和分类用于预测并发症的特征。
结果:总体而言,已经审查了102篇研究文章,导致59个频繁的特征被识别。在所有四个考虑的并发症中,十九个属性被认为是标准,这是年龄,性别,种族,体重,高度,BMI,吸烟史,HbA1c,SBP,eGFR,DBP,HDL,LDL,总胆固醇,甘油三酯,使用胰岛素,糖尿病的持续时间,心血管疾病家族史,和糖尿病。对于预测糖尿病并发症的健康分析模型,存在一个公认的和更新的功能集是一个重要的和当代的要求。广泛接受的特征集对基准测试糖尿病并发症的风险因素是有益的。
结论:这项研究是一项全面的文献综述,旨在为院士提供清晰的最新技术,临床医生,和其他利益相关者关于风险因素及其重要性。
BACKGROUND: This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic
review and meta-analysis method. The research articles included in this study are extracted using the search engine \"Web of Science\" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study.
METHODS: The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records.
RESULTS: Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol,
triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes.
CONCLUSIONS: This study is a thorough literature
review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.