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首页> 外文期刊>Journal of drug assessment >Diabetes MelIitus Model (DMM): internal validation of a computer simulation model for type 1 and type 2 diabetes
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Diabetes MelIitus Model (DMM): internal validation of a computer simulation model for type 1 and type 2 diabetes

机译:糖尿病Mellitus模型(DMM):1型和2型糖尿病的计算机仿真模型的内部验证

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摘要

The aim of the analysis described in this paper was to confirm the internal validity of the Diabetes Mellitus Model (DMM), which is an epidemiological simulation model for the prediction of short- and long-term complications of diabetes. For the validation, mean values and confidence intervals (CIs) of simulated event rates (ERs) were calculated. The expected ERs were derived from publications, Internal validity of the DMM was defined as an agreement (overlap) between the model outputs and the published data allowing for a range of 25% deviation from the original data.The results of the validation process revealed coherence between mean simulated ERs and expected ERs for most of the examined events. A fit of the range of CIs within the range of expected ERs can be observed for macular oedema in type 1 and type 2 diabetes, for retinopathy in type 1 diabetes, and for amputation and diabetic foot syndrome in type 2 diabetes. With the exception of end-stage renal disease, the CIs and ranges of the other events overlap significantly, supporting the view that the model can be considered as internally valid.These results substantiate the DMM as an internally valid diabetes model that predicts complication rates consistent with observed rates. The DMM is a valuable tool for medical decision-making. Further research is required to provide external validation of the model.
机译:本文描述的分析的目的是确认糖尿病模型(DMM)的内部有效性,这是预测糖尿病短期和长期并发症的流行病学仿真模型。对于验证,计算模拟事件速率(ERS)的平均值和置信区间(CIS)。预期的ERS来自出版物,DMM的内部有效性被定义为模型输出和发布数据之间的协议(重叠),允许从原始数据的25%偏差的范围。验证过程的结果显示连贯在大部分检查事件中的平均模拟ERS和预期的ERS之间。在1型和2型糖尿病中,可以观察到预期患者的预期ERS范围内的CIS范围,用于1型糖尿病的视网膜病变,以及2型糖尿病中的截肢和糖尿病足综合征。除了终末期肾病外,其他事件的CIS和范围显着重叠,支持该模型可以被视为内部有效性。这些结果证实了DMM作为内部有效的糖尿病模型,该模型预测并发症率一致观察到的费率。 DMM是医疗决策的宝贵工具。进一步的研究是提供模型的外部验证。

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