The potential for reducing greenhouse gas emissions through disease prevention: a secondary analysis of data from the CREDENCE trial
Abstract
BACKGROUND
The health-care sector is responsible for 5·2% of global emissions, however, little data exist regarding the environmental impact of disease management strategies. SGLT2 inhibitors are now widely used to reduce the risk of hospital admission and kidney failure in people with type 2 diabetes and chronic kidney disease. This study aimed to estimate the impact of SGLT2 inhibitors on greenhouse gas emissions using data from the CREDENCE trial.
METHODS
For this modelling analysis, we used data from the randomised, double-blind, placebo-controlled, CREDENCE trial, which compared the effect of canagliflozin versus placebo on kidney and cardiovascular outcomes in patients with type 2 diabetes and albuminuric chronic kidney disease. For this secondary analysis, we included all participants randomly assigned to canagliflozin or placebo at baseline in the CREDENCE trial. Data on greenhouse gas emissions resulting from hospital inpatient days, maintenance dialysis therapy, and SGLT2 inhibitor tablet production were derived from published reports and used to model greenhouse gas emissions from total number of hospital inpatient days, total number of days of maintenance dialysis therapy, and from SGLT2 inhibitor treatment over the course of the CREDENCE trial. We compared greenhouse gas emission estimates for participants in the canagliflozin group and placebo group of the CREDENCE trial. We used bootstrapping analyses to calculate uncertainty estimates and permutation tests to…
How strong is the evidence?
Evidence Hub reads this as a secondary / pooled analysis, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 4,401 participants or records.
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