Evidence map›Paper›PMID 41749212›Full record

ArticleBMC endocrine disorders2026

Associations of time in tight range, time in range, and glycated hemoglobin with albuminuria and diabetic kidney disease in adult type 2 diabetes: a cross-sectional study.

Yanling Yang, Zhigu Liu, Yintong Huang, Hongrong Deng, Xubin Yang, Jinhua Yan, Longyi Zeng, Beisi Lin, Wen Xu

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2026. 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. [Burden of Diabetic Kidney Disease at Global, Regional, and National Levels From 1990 to 2021].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    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

9 authors.

Yanling Yang *Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhigu Liu *Department of Endocrinology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen Hospital of Guangdong Provincial People's Hospital, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen Baoan Clinical Medical School of Guangdong Medical University, The 8th People's Hospital of Shenzhen, Guangdong, 518000, PR China.
Yintong Huang *Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hongrong DengDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xubin YangDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jinhua YanDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Longyi ZengDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zengly@mail.sysu.edu.cn.
Beisi LinDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. 810579635@qq.com.
Wen XuDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. xwen@mail.sysu.edu.cn.

Funding

Natural Science Foundation of Guangdong Province 2022A1515012364
6 · The paper itself

Abstract

aimsTo evaluate associations of the indicators of glycemic control, HbA1c, continuous glucose monitoring (CGM)-derived time in tight range (TITR; 70-140 mg/dL), and time in range (TIR; 70-180 mg/dL) with albuminuria and diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM).

methodsThis cross-sectional study included 697 patients with T2DM. Albuminuria (UACR ≥ 30 mg/g) and DKD (eGFR < 60 mL/min/1.73 m² or albuminuria) were assessed. Multivariable logistic regression analyzed associations of TITR, TIR, and HbA1c (continuous/tertiles) with albuminuria and DKD.

resultsAmong the participants, the prevalence of albuminuria and DKD was 34.6% and 37.9%, respectively. After full adjustment, higher TITR and TIR were independently associated with lower odds of albuminuria (TITR: OR 0.98, 95% CI 0.97-0.99; TIR: OR 0.98, 0.96-0.99) and DKD (TITR: OR 0.98, 0.97-0.99; TIR: OR 0.98, 0.96-0.99). The highest (vs. lowest) tertiles of TITR and TIR had significantly reduced risks (for albuminuria; TITR: OR 0.36, TIR: OR 0.42; for DKD, TITR: OR 0.35, TIR: OR 0.40; all p < 0.001). HbA1c showed weaker threshold associations (highest tertile ORs: albuminuria: 2.31, DKD: 2.31; p < 0.05). However, the AUCs for TITR, TIR, and HbA1c showed no significant differences. Restricted cubic spline analysis demonstrated a significant dose-response relationship, wherein higher levels of TITR/TIR were associated with progressively lower risks of albuminuria and DKD. Subgroup analyses revealed that diabetes duration significantly modified the association of TITR (P for interaction ≤ 0.021), with stronger inverse associations observed in patients with diabetes duration ≥ 10 years. In contrast, TIR showed a consistent association across diabetes duration subgroups.

conclusionsBoth TITR and TIR are independently associated with albuminuria and diabetic kidney disease. While TIR serves as a consistent marker across different disease stages, TITR may offer refined risk stratification, particularly in individuals with longer diabetes duration. These metrics provide complementary value to HbA1c for assessing renal risk. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AlbuminuriaDiabetes Mellitus, Type 2Diabetic NephropathiesGlycated HemoglobinAgedBiomarkersBlood GlucoseContinuous Glucose MonitoringCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisTime FactorsBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanAlbuminuriaContinuous glucose monitoringDiabetic kidney diseaseTime in rangeTime in tight rangeType 2 diabetes mellitus

Identifiers

PMID41749212
PMCPMC13040878

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Registered trials

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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.