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Should Studies of Diabetes Treatment Stratification Correct for Baseline HbA1c?

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Figshare2016-04-08 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Should_Studies_of_Diabetes_Treatment_Stratification_Correct_for_Baseline_HbA1c_/3163177
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AimsBaseline HbA1c is a major predictor of response to glucose lowering therapy and therefore a potential confounder in studies aiming to identify other predictors. However, baseline adjustment may introduce error if the association between baseline HbA1c and response is substantially due to measurement error and regression to the mean. We aimed to determine whether studies of predictors of response should adjust for baseline HbA1c.MethodsWe assessed the relationship between baseline HbA1c and glycaemic response in 257 participants treated with GLP-1R agonists and assessed whether it reflected measurement error and regression to the mean using duplicate ‘pre-baseline’ HbA1c measurements not included in the response variable. In this cohort and an additional 2659 participants treated with sulfonylureas we assessed the relationship between covariates associated with baseline HbA1c and treatment response with and without baseline adjustment, and with a bias correction using pre-baseline HbA1c to adjust for the effects of error in baseline HbA1c.ResultsBaseline HbA1c was a major predictor of response (R2 = 0.19,β = -0.44,pConclusionsAdjustment for the baseline HbA1c measurement is a simple and effective way to reduce bias in studies of predictors of response to glucose lowering therapy.
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2016-04-08
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