Evidence map›Paper›PMID 40258945›Full record

ArticleScientific reports2025

Adjusted glycated albumin is a novel indicator of glycemic control in patients with macroalbuminuria in diabetic kidney disease.

Jin Xie, Ze-Hou Wang, Zong-Jin Zhang, Yi-Min Li, Cun Shen, Yuan Meng, Wen-Jing Zhao, Dan-Qian Chen, Lu-Ying Sun, Yue-Fen Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jin Xie *Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Ze-Hou Wang *Beijing University of Chinese Medicine, Beijing, 100029, China.
Zong-Jin ZhangCommunity Health Service Center, Beijing, 100067, China.
Yi-Min LiDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Cun ShenDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Yuan MengDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Wen-Jing ZhaoDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Dan-Qian ChenFaculty of Life Science and Medicine, Northwest University, Xi'an, 710127, China.
Lu-Ying SunFangshan Hospital, Beijing University of Chinese Medicine, Beijing, 102400, China. luyingsun@outlook.com.
Yue-Fen WangDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China. wangyuefen@bjzhongyi.com.

Funding

Beijing Chinese Medicine Science and Technology Development Fund Project Foundation JJ-2020-46Natural Science Foundation of Beijing Province 7172096
6 · The paper itself

Abstract

Glycated albumin (GA), a blood glucose monitoring biomarker, is impacted by variables such as albumin turnover and is not entirely relevant throughout diabetic kidney disease (DKD). There is insufficient data to routinely adjust GA measurements. We examined how albuminuria affected clinically measured GA (mGA) and adjusted GA (adjGA). We included 195 patients with DKD, 108 with non-macroalbuminuria and 87 with macroalbuminuria, and adjusted GA based on albumin, albuminuria, and body weight. Subgroups were divided to two groups according to albuminuria and serum albumin levels. The relationship between mGA, adjGA, and glucose was investigated. The optimum GA correction method based on albumin turnover metabolism was investigated: adjGA = mGA×[1+(8×K×UP) ÷ (11×V×SA)]. where K represents the standard metabolic days of albumin (15 days), UP is 24-hour urine protein excretion (g/24 h), V is plasma volume (calculated as 5% of body weight in liters), and SA is serum albumin concentration (g/L). In non-macroalbuminuria, mGA was 19.75% and adjGA was 22.32%, and in macroalbuminuria, mGA was 13.20% and adjGA was 22.45%, the mGA was substantially different across albuminuria categories (P < 0.001), but adjGA was not. HbA1c, 24-h urine protein(24hUP) and serum albumin (ALB) were influencing variables for mGA (P < 0.001), while 24hUP and ALB had no effect on adjGA (P > 0.05). The adjGA had stronger cor-relation with blood glucose than mGA, especially in the context of macroalbuminuria. Macroalbuminuria lowers mGA accuracy. In DKD patients with macroalbuminuria, adjusted GA is a novel indication of glucose monitoring.

Indexed as

AlbuminuriaBlood GlucoseDiabetic NephropathiesGlycemic ControlSerum AlbuminAgedBiomarkersFemaleGlycated HemoglobinGlycated Serum AlbuminGlycation End Products, AdvancedHumansMaleMiddle AgedBiomarkersBlood GlucoseGlycated HemoglobinGlycated Serum AlbuminGlycation End Products, AdvancedSerum AlbuminAdjusted glycated albuminAlbuminuriaDiabetic kidney diseaseGlycated albuminHemoglobin A1cMean blood glucose

Identifiers

PMID40258945
PMCPMC12012077

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.