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Accurate GFR in obesity-protocol for a systematic review
Sriram Sriperumbuduri1, Robert Dent2, Janine Malcolm3
1Department of Medicine, Division of Nephrology, The Ottawa Hospital, Ottawa, Canada.
Systematic Reviews
|June 24, 2019
Summary
This systematic review evaluates creatinine-based equations for estimating kidney function in obese individuals with chronic kidney disease (CKD). Findings will guide clinicians in selecting appropriate equations for CKD staging and medication dosing in this population.
Area of Science:
- Nephrology
- Metabolic Disorders
- Diagnostic Accuracy
Background:
- Obesity is a growing global health concern with a strong link to chronic kidney disease (CKD).
- Current methods for estimating kidney function, primarily using creatinine-based equations like CKD-EPI, are crucial for clinical decisions but may be inaccurate in obese individuals.
- The impact of obesity on the reliability of these estimations is not well understood.
Purpose of the Study:
- To systematically review diagnostic studies comparing estimated glomerular filtration rate (eGFR) equations with measured kidney function in obese individuals.
- To assess the accuracy of commonly used creatinine-based equations in estimating kidney function in the context of obesity and CKD.
- To inform clinical practice regarding the most suitable equations for CKD management in obese patients.
Main Methods:
- A comprehensive systematic search of electronic databases (MEDLINE, EMBASE, Cochrane Library) will be conducted.
- Data extraction will include study characteristics, participant demographics, reference standards, index tests, and measures of agreement (e.g., proportion within 10-50% of measured GFR) and bias.
- Meta-analysis will be performed if study quality and risk of bias are adequate, with heterogeneity assessed using I² statistics and meta-regression for sensitivity analyses.
Main Results:
- Preliminary searches identified a substantial number of relevant citations across databases.
- The review will quantify the proportion of estimated GFR (eGFR) values falling within specified percentages of measured GFR.
- Bias between eGFR and measured GFR will be analyzed, with potential for meta-regression to explore influencing factors.
Conclusions:
- This systematic review aims to provide evidence-based guidance for clinicians on the optimal use of kidney function estimation equations in obese patients with CKD.
- The findings will assist in accurate CKD staging and appropriate medication dosing.
- If current equations prove inadequate, this review will highlight the need for developing and validating new GFR estimation methods for obese populations.
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