Comparison of serum and urinary biomarker panels with albumin/creatinine ratio in the prediction of renal function decline in type 1 diabetes
Marco Colombo; Stuart J. McGurnaghan; Luke A. K. Blackbourn; R. Neil Dalton; David B. Dunger; Samira Bell; John R. Petrie; Fiona Green · 2020 · Diabetologia
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
Abstract Aims/hypothesis We examined whether candidate biomarkers in serum or urine can improve the prediction of renal disease progression in type 1 diabetes beyond prior eGFR, comparing their performance with urinary albumin/creatinine ratio (ACR). Methods From the population-representative Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) we sampled 50% and 25% of those with starting eGFR below and above 75 ml min −1 [1.73 m] −2 , respectively ( N = 1629), and with median 5.1 years of follow-up. Multiplexed ELISAs and single molecule array technology were used to measure nin
Abstract by Marco Colombo; Stuart J. McGurnaghan; Luke A. K. Blackbourn; R. Neil Dalton; David B. Dunger; Samira Bell; John R. Petrie; Fiona Green, Diabetologia (2020) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1007/s00125-019-05081-8