The nonlinear relationship between estimated glomerular filtration rate and cardiovascular disease in US adults: a cross-sectional study from NHANES 2007–2018
Ce Zhou; You Zhou; Niannian Shuai; Jiaxiu Zhou; Xin Kuang · 2024 · Frontiers in Cardiovascular Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background and aimEstimated glomerular filtration rate (eGFR) is a key indicator of kidney function and is associated with numerous health conditions. This study examines the association between eGFR and cardiovascular disease (CVD) risk in a representative cohort of the US adult population.MethodsA cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. The study included 31,020 participants aged 20 years and older. The eGFR estimates were calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD
Abstract by Ce Zhou; You Zhou; Niannian Shuai; Jiaxiu Zhou; Xin Kuang, Frontiers in Cardiovascular Medicine (2024) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.3389/fcvm.2024.1417926
