ArticleObesity surgery2018
The Effect of Attrition on Reported Diabetes Remission Rates Following Roux-en-Y Gastric Bypass: a Sensitivity Analysis.
Article in Obesity surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Lipoprotein insulin resistance score in nondiabetic patients with obesity after bariatric surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2020Observational
- Role of Ethnicity on Weight Loss and Attrition After Bariatric Surgery.Obesity surgery · 2019Article
- Effect of Roux-en-Y gastric bypass surgery on diabetes remission and complications in individuals with type 2 diabetes: a Danish population-based matched cohort study.Diabetologia · 2019Observational
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
objectiveAttrition, or loss to follow-up, is a common problem in studies of type 2 diabetes remission following roux-en-Y gastric bypass (RYGB) and is often correlated with weight loss. Thus, reported rates of remission may be inflated by attrition bias. We investigate the effect of attrition bias on reported diabetes remission rates following RYGB.
methodsUsing sensitivity analyses, we identified sets of attrition and remission rates that produced simulated outcomes within 95% confidence intervals of the reported outcomes from five studies of diabetes remission following RYGB.
resultsPotential attrition bias varied greatly, yielding possible remission rates of diabetes ranging from 20 to 40% at 1 year. For studies with the attrition greater than ~ 20%, estimates that ignored attrition overestimated diabetes remission rates. Kaplan-Meier estimates were less affected by attrition. Potential for bias was most evident in the study with the largest sample size.
conclusionResearchers, clinicians, and policymakers can measure potential attrition bias in clinical studies. In the case of remission of diabetes following RYGB, the potential bias in reported remission rates is generally less than 10%, varies considerably among studies, and is primarily driven by attrition rate and study size. Studies with very large sample sizes may provide a narrow confidence interval around a biased estimate.
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