Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-08-28 Cooperative journals: 《中国全科医学》
Abstract： Backgroud Diabetic foot is a common complication of diabetes patients，most of whom are seriously ill with rapid disease progression. A well-performing risk prediction model for the development of diabetic foot can help healthcare professionals to identify high-risk patients and take early interventions. Objective To systematically review the risk prediction models for diabetic foot，and provide reference for the construction and optimization of the model. Methods PubMed，Cochrane Library，EMbase，Web of Science，CNKI and WanFang were searched to collect the related studies on risk prediction models for diabetic foot from inception to May 15th，2022. Two reviewers independently screened the literature， extracted data and evaluated the quality of models using prediction model risk of bias assessment tool（PROBAST）. Meta#2;analysis of the predictors in the model was performed using stata17 software. Results A total of 13 papers were included， containing 13 models，12 of which had AUC>0.7. Model calibration was performed on 7 models and 8 models were validated. PROBAST results showed that 1 of the 13 included papers was at low risk of bias and the remaining 12 were at high risk of bias； for model applicability，only 1 was at low applicability. The results of Meta-analysis showed that age （OR=1.13，95%CI=1.04-1.24），glycated hemoglobin （OR=1.56，95%CI=1.26-1.94），foot ulcer history （OR=5.93，95%CI=2.85-12.37）， previous amputation （OR=7.79，95%CI=2.74-22.17），diminished sensitivity of the monofilament test （OR=1.59， 95%CI=1.42-1.78），foot fungal infection （OR=6.14，95%CI=1.71-22.01），and kidney disease （OR=2.09，95%CI: 1.65-2.65） were independent risk factors for diabetic foot. Conclusion The risk prediction models for diabetic foot was still inadequate， and the future risk prediction model should focus on age，glycated hemoglobin level，foot ulcer history，amputation history， monofilament test sensitivity，foot fungal infection and kidney disease.
Subjects: Environmental Sciences, Resource Sciences >> Basic Disciplines of Environmental Science and Technology submitted time 2017-09-20 Cooperative journals: 《中国科学院院刊》
Abstract：西风与印度季风两大环流是控制青藏高原气候与环境变化的决定性因素。研究显示两大环流的影响范围和程度具有明显的空间分异：基于降水稳定同位素实测与模型模拟发现青藏高原现代西风与印度季风的相互作用特征表现为3种模态，即印度季风模态、西风模态和过渡模态。基于湖泊沉积记录的分析，发现3种模态主控范围在历史时期不断发生变化。3种模态对现代青藏高原环境产生连锁式环境效应，使得该区的冰川、湖泊、生态系统变化具有明显的区域特征，具体表现为印度季风模态的冰川强烈退缩，湖泊趋于萎缩；西风模态的冰川趋于稳定甚至部分出现前进，湖泊趋于扩张；过渡模态的冰川退缩程度减弱，湖泊变化不明显。西风模态的植被返青期提前，印度季风模态的植被返青期推后，而过渡模态的植被过程比较复杂。
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