Evidence map›Paper›PMID 37386515›Full record

ArticleDiabetology & metabolic syndrome2023

Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes.

Xuguang Jin, Xinyi Yang, Yixin Xu, Jingjing Liang, Chunyan Liu, Qingyu Guo, Wei Wang, Zhouqin Feng, Yanyu Yuan, Hui Zhou and 7 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

17 authors.

Xuguang Jin *Medical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Xinyi Yang *Medical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Yixin Xu *Medical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Jingjing LiangMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Chunyan LiuMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Qingyu GuoMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Wei WangMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Zhouqin FengMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Yanyu YuanDepartment of Endocrinology, the affiliated Jinling Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Hui ZhouDepartment of Endocrinology, Jinling Hospital, First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Zhen ZhangDepartment of Endocrinology, Jinling Hospital, First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Wenwen JiangDepartment of Endocrinology, the affiliated Jinling Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yue LiangMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Bin LuMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Jiaqing ShaoMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China. shaojiaq@hotmail.com.
Yong ZhongMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China. zhongyongnj@163.com.
Ping GuMedical School, Affiliated Jinling Hospital, Department of Endocrinology, Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China. guping@nju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs a CGM-derived indicator, 'time in range' (TIR) is emerging as a key indicator for accurate assessment of glycaemic control. However, there is few report focusing on the correlation of TIR with albumuria and renal fuction. The aim of this work was to investigate whether TIR, as well as nocturnal TIR and hypoglycaemic events is related to the presence and severity of albuminuria and decrease of eGFR in type 2 diabetes. RESEARCH DESIGN AND

methodsA total of 823 patients were enrolled in this study. All patients received continuous glucose monitoring, TIR indicating the percentage of time that blood glucose was in the range of 3.9-10.0 mmol/L. The Spearman analysis was applied to analyze the relationship between TIR (or nocturnal TIR) and ACR. Logistic regression was used to explore whether TIR (or nocturnal TIR) is an independent risk factor for albuminuria.

resultsThe prevalence of albuminuria decreased with increasing TIR quartiles. Binary logistic regression revealed that TIR as well as nocturnal TIR was obviously related to the presence of albuminuria. Multiple regression analysis found that only nocturnal TIR was obviously related to the severity of albuminuria. In our study, eGFR was significantly associated with the number of hypoglycemic events.

conclusionsIn T2DM patients, TIR and nocturnal TIR is associated with the presence of albuminuria independent of HbA1c and GV metrics. Nocturnal TIR shows better correlation than TIR. The role of TIR especially nocturnal TIR in the evaluation of diabetes kidney disease should be emphasized.

Indexed as

AlbuminuriaContinuous glucose monitoringGlomerular filtration rateHemoglobin A1CHypoglycemiaNocturnal time in rangeTime in rangeType 2 diabetes mellitus

Identifiers

PMID37386515
PMCPMC10311716

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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.