2013
DOI: 10.1089/dia.2012.0332
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The Effect of Adjusting for Baseline Hypoglycemia when Analyzing Hypoglycemia Data: A Systematic Analysis of 15 Diabetes Clinical Trials

Abstract: Baseline hypoglycemia rate is significantly correlated with post-baseline hypoglycemia rate for patients with diabetes treated with insulin prior to randomization. The length of the lead-in period can impact correlations between baseline and post-baseline data, and adjustment for baseline hypoglycemia may improve the estimation efficiency for hypoglycemia data analyses in clinical trials.

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Cited by 5 publications
(5 citation statements)
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References 22 publications
(29 reference statements)
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“…Hypoglycemic events during a study interval were compared between treatments using a negative binomial regression by adjusting for pre-randomization hypoglycemia rate. [12][13][14] 3 | RESULTS…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Hypoglycemic events during a study interval were compared between treatments using a negative binomial regression by adjusting for pre-randomization hypoglycemia rate. [12][13][14] 3 | RESULTS…”
Section: Discussionmentioning
confidence: 99%
“…Achievement of HbA1c targets (last observation carried forward) was compared between treatments using logistic regression. Hypoglycemic events during a study interval were compared between treatments using a negative binomial regression by adjusting for pre‐randomization hypoglycemia rate …”
Section: Methodsmentioning
confidence: 99%
“…HbA1c < 7.0%, and HbA1c < 7.0% with no nocturnal hypoglycaemia were compared between treatments using a logistic regression (for data at week 52 with last observation carried forward) as the primary analysis and a longitudinal logistic regression as a sensitivity analysis. The number of hypoglycaemic events during a specific period was compared between treatments using a negative binomial regression by adjusting for baseline sulphonylurea/meglitinide use and pre‐randomization (baseline) hypoglycaemia rate. In addition, a statistical joint modelling on HbA1c and basal insulin dose was conducted to evaluate the HbA1c reduction per 10 units of basal insulin (peglispro vs glargine) from baseline and week 52.…”
Section: Methodsmentioning
confidence: 99%
“…The proportion of patients with the last non‐missing HbA1c value <7% was analysed using logistic regression. The hypoglycaemia rate was estimated and compared between treatments using negative binomial regression analysis, after adjustment for pre‐randomization (baseline) . Major adverse cardiovascular events (MACE; cardiovascular death, myocardial infarction or stroke) and MACE+ (MACE plus hospitalization for unstable angina) were analysed using a Cox proportional hazard model.…”
Section: Methodsmentioning
confidence: 99%