Evidence map›Paper›PMID 32792602›Full record

ArticleScientific reports2020

Comprehensive retinal vascular measurements: a novel association with renal function in type 2 diabetic patients in China.

Xiayu Xu, Fei Sun, Qiong Wang, Maiye Zhang, Wenxiang Ding, Aili Yang, Bin Gao

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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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

7 authors.

Xiayu Xu *The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Fei Sun *Department of Endocrinology and Metabolism, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, People's Republic of China.
Qiong WangDepartment of Endocrinology and Metabolism, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, People's Republic of China.
Maiye ZhangDepartment of Endocrinology and Metabolism, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, People's Republic of China.
Wenxiang DingThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Aili YangDepartment of Endocrinology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, People's Republic of China.
Bin GaoDepartment of Endocrinology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, People's Republic of China. bingao@fmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine the association between various retinal vascular measurements and microalbuminuria in patients with type 2 diabetes in a northwestern China study. Data from 911 patients with type 2 diabetes were analyzed. Novel retinal vascular measurements from the whole vascular tree were extracted using a validated fully automatic computer program. Retinal vascular measurements were analyzed continuously and categorically for associations with microalbuminuria using multiple logistic regressions, adjusted for related variables. In logistic regression adjusting for multiple variables, microalbuminuria was associated with smaller peripheral arteriolar caliber, larger peripheral venular caliber, larger arteriolar tortuosity, and smaller arteriolar fractal dimension (p = 0.028, p < 0.001, p = 0.038, p = 0.035, respectively). In further categorical analyses, microalbuminuria was related to smaller peripheral arteriolar caliber [T1 vs. T3: odds ratio (OR) 2.029; 95% confidence interval (CI) 1.186-3.473], larger peripheral venular caliber (T1 vs. T3: OR 0.609; 95% CI 0.362-1.024), and smaller arteriolar fractal dimension (T1 vs. T3: OR 1.659; 95% CI 1.028-2.675). Microalbuminuria in type 2 diabetes is associated with both retinal vascular caliber and geometry. These noninvasive vascular measurements serve as potential preclinical markers to identify populations at high risk of early kidney disease in the course of diabetes.

Indexed as

AlbuminuriaArteriolesChinaCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansKidneyKidney DiseasesMaleMiddle AgedRetinaRetinal VesselsRisk Factors

Identifiers

PMID32792602
PMCPMC7426409

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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.