Evidence map›Paper›PMID 42482210›Full record

ReviewDiabetology & metabolic syndrome2026

Glycemic instability in renal decline: a review of HbA1c variability and outcomes in chronic kidney disease.

Fan Zhang, Rong Wu, Yan Bai, Yifei Zhong

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In one paragraph

Review in Diabetology & metabolic syndrome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fan Zhang *Department of Nephrology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Rong Wu *Department of Endocrine, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yan BaiDepartment of Endocrine, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yifei ZhongDepartment of Nephrology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China. sh_zhongyifei@shutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is the leading cause of chronic kidney disease (CKD) and end-stage kidney disease (ESKD), and glycemic assessment is complicated by altered glucose/insulin handling and biased glycated hemoglobin (HbA1c) values in advanced kidney disease. Beyond mean HbA1c, long-term visit-to-visit HbA1c variability has emerged as an additional dimension of risk. This review aims to summarize the definition, measurement, and clinical significance of long-term HbA1c variability in diabetes with CKD, and to discuss implications for risk stratification and management, including complementary biomarkers and continuous glucose monitoring (CGM).

methodsWe narratively reviewed observational cohorts, meta-analyses, and dialysis/advanced CKD studies evaluating metrics of long-term glycemic variability (e.g., HbA1c-standard deviation, HbA1c-coefficient of variation, HbA1c variability score) and their associations with renal outcomes, cardiovascular events, and mortality, alongside evidence on alternative biomarkers and CGM-derived indices.

resultsAcross diverse populations, higher HbA1c variability is consistently associated with faster CKD progression, greater risk of ESKD, increased cardiovascular events, and higher all-cause mortality, often independent of mean HbA1c. In advanced CKD and dialysis, HbA1c limitations and treatment-related glucose swings heighten the value of CGM and, in selected settings, glycated albumin/fructosamine.

conclusionLong-term HbA1c variability is a robust prognostic marker in diabetic CKD and should complement mean HbA1c in clinical assessment; prospective trials are needed to test whether variability-targeted strategies improve hard outcomes.

Indexed as

Chronic kidney diseaseEnd-stage kidney diseaseGlycated hemoglobinReviewVariability

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.