2016
DOI: 10.1016/j.mei.2016.01.006
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The impact of glycemic variability in the progression of renal disease in diabetic patients treated with insulin therapy

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Cited by 2 publications
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“…The quality scores ranged from 4 to 9. Pereira et al [18] was excluded as it was considered to be of poor quality for the following reasons (quality score 4): a small sample size (n = 221); the exclusion of participants with additional comorbidities, which may have a biased sampling from the population of people with diabetes; inadequate follow-up; high attrition bias (221/538); and a failure to adjust for potential confounders (covariates such as age and diabetes duration). No robust statistical analyses were conducted to compare the association glycaemic variability and renal outcome.…”
Section: Quality Appraisalmentioning
confidence: 99%
“…The quality scores ranged from 4 to 9. Pereira et al [18] was excluded as it was considered to be of poor quality for the following reasons (quality score 4): a small sample size (n = 221); the exclusion of participants with additional comorbidities, which may have a biased sampling from the population of people with diabetes; inadequate follow-up; high attrition bias (221/538); and a failure to adjust for potential confounders (covariates such as age and diabetes duration). No robust statistical analyses were conducted to compare the association glycaemic variability and renal outcome.…”
Section: Quality Appraisalmentioning
confidence: 99%