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Logistic regression analysis for distinguishing DM patients from control group.

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数据链接：

https://figshare.com/articles/dataset/Logistic_regression_analysis_for_distinguishing_DM_patients_from_control_group_/11592546 数据链接链接失效反馈

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Logistic regression analysis for distinguishing DM patients from control group.

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创建时间：

2020-01-13

囊性纤维化

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Context: The clinical utility and implications of continuous glucose monitoring (CGM) in cystic fibrosis (CF) are unclear. Objective: We examined the correlation between CGM measures and clinical ou

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HbA1c test as a tool in the diagnosis of gestational diabetes mellitus.

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t values are calculated according to step 1 in methods.

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Table 4_Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.xlsx

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BackgroundDiabetic nephropathy (DN) is a complication of systemic microvascular disease in diabetes mellitus. Abnormal glycolysis has emerged as a potential factor for chronic renal dysfunction in DN.

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Asia Pacific Diabetic Assays Market

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The Asia Pacific Diabetic Assays report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportuni

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Baseline Parameters according to HbA1c dichotomized at the cut-off indicative of diabetes or prediabetes according to the American Diabetes Association [27].

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Baseline Parameters according to HbA1c dichotomized at the cut-off indicative of diabetes or prediabetes according to the American Diabetes Association [27].

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Logistic regression analysis for distinguishing DM patients from control group.

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