Serum glycated albumin predicts all-cause mortality in dialysis patients with diabetes mellitus: meta-analysis and systematic review of a predictive biomarker
Abstract
Background and aim HbA1c, the traditional and current gold standard biomarker guiding diabetic management, has been scrutinized for low predictive value for patients with chronic kidney disease due to variables affecting erythrocyte number and turnover. Glycated albumin, the precursor to advanced glycation end products, reflects glycemic status over the preceding 2-3 week period and already outperforms HbA1c for glycemic monitoring. Our aim was to establish whether serum GA can be further used to predict mortality risk in dialysis patients with diabetes mellitus (DM) METHODS: We did systematic review of the literature in PubMed/Medline, Web of Science, Embase (Elsevier) and the Cochrane Central Register of Controlled Trials (Wiley) up to and including February 2020. Results This meta-analysis included 25,932 dialysis patients across 12 studies with maximum follow-up of 11 years. Higher GA levels were associated with the risk of all-cause mortality in dialysis patients with DM (HR 1.02, 95% CI 1.01 to 1.03, P Conclusion Serum glycated albumin predicts all-cause mortality risk in dialysis patients with DM. The endpoints of cardiovascular mortality and cardiovascular events trended similarly, but did not reach significance at the current sample size.
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Glycated albumin and fructosamine, which reflect average glycemia over a shorter time (15-30 days), are helpful in clinical management.
“Therefore, glycated albumin and fructosamine, which reflect average glycemia over a shorter time (15-30 days), are helpful in clinical management (65,66).”
From 11. Chronic Kidney Disease and Risk Management: Standards of Care in Diabetes—2026 (2026) · cites this paper as [65]
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- Authors
- Copur, S., Siriopol, D., Afsar, B., Comert, M. C., Uzunkopru, G., Sag, A. A., Ortiz, A., Covic, A., van Raalte, D. H., Cherney, D. Z., Rossing, P., & Kanbay, M.
- Affiliations
- Grigore T. Popa University of Medicine and Pharmacy (RO)
- Koç University (TR)
- Duke Medical Center (US)
- University Health Network (CA)
- University of Copenhagen (DK)
- Corresponding author
- Kanbay, Mehmet
- Venue
- Acta Diabetologica
- Published
- 2020-08-30
- Volume
- 58
- Issue
- 1
- Pages
- 81-91
- ISSN
- 0940-5429 (ISSN-L)
- 1432-5233
- OpenAlex
- W3082094221
- Cited by
- 38
- References
- 51
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 13 · 2020: 1
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Acta Diabetologica (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Steno Diabetes Center Copenhagen (SDCC 3.A Complications)
- Topics
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Keywords
- glycated albumin, all-cause mortality, dialysis patients, diabetes mellitus, mortality prediction, HbA1c, cardiovascular mortality, cardiovascular events, chronic kidney disease, advanced glycation end products, blood glucose monitoring
- MeSH terms
- Glycated Serum Albumin, Aged, Aged, 80 and over, Blood Glucose, Cause of Death, Diabetes Mellitus, Diabetic Angiopathies, Diabetic Nephropathies, Female, Renal Dialysis, Glycated Hemoglobin, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Serum Albumin, Biomarkers, Glycation End Products, Advanced, Renal Insufficiency, Chronic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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