Evidence map›Paper›PMID 35446407›Full record

ArticleTranslational vision science & technology2022

Quantitative Evaluation of Retinal Microvascular Abnormalities in Patients With Type 2 Diabetes Mellitus Without Clinical Sign of Diabetic Retinopathy.

Yongqing Han, Xiaogang Wang, Gang Sun, Jing Luo, Xing Cao, Pengyi Yin, Renhe Yu, Simin He, Fang Yang, Frank L Myers and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Yongqing HanDepartment of Ophthalmology, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, Inner Mongolia, P.R. China.
Xiaogang WangDepartment of Ophthalmology, Shanxi Eye Hospital, Taiyuan, Shanxi, P.R. China.
Gang SunDepartment of Intelligence and Collaboration, Yangzhou Collaborative Innovation Research Institute of Shenyang Aircraft Design and Research Institute, Yangzhou, Jiangsu, P.R. China.
Jing LuoDepartment of Ophthalmology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Xing CaoDepartment of Ophthalmology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Pengyi YinDepartment of Ophthalmology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Renhe YuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, P.R. China.
Simin HeDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, P.R. China.
Fang YangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, P.R. China.
Frank L MyersDepartment of Ophthalmology and Visual Sciences, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Liang ZhouDepartment of Ophthalmology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Central South University · CNSecond Xiangya Hospital of Central South University · CNShanxi Eye Hospital · CNUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate microvascular abnormalities in the macula and peripapillary area in diabetic patients without clinical signs of diabetic retinopathy (DR) and compare them with healthy control eyes, using optical coherence tomography angiography (OCTA). Methods: A prospective study was performed of 49 eyes from 49 diabetic patients without clinical signs of DR and a control group of 52 eyes from 52 healthy normal individuals. The 3 × 3 mm macular scans and 4.5 × 4.5 mm optic disc scans were obtained with the OCTA RTVue-XR Avanti system. Angiograms from the superficial capillary plexus, the deep capillary plexus of the macula scans, and radial peripapillary capillary plexus of the optic disc scans were analyzed with MATLAB. Multivariate binary logistic regression and the least absolute shrinkage and selection operator (LASSO) regression were used to select ideal parameters that distinguish diabetic eyes without DR from normal eyes. A receiver operating characteristic (ROC) curve was generated, and sensitivity and specificity were calculated. Results: Our final model identified FD-300 (foveal vessel density in a 300-µm-wide region around foveal avascular zone) as the only parameter selected by both the LASSO regression and the final multivariate logistic regression model that significantly differentiates diabetic eyes without clinical signs of DR from healthy normal eyes. The area under the ROC curve of FD-300 was 0.685, and sensitivity and specificity were 65.3% and 71.2%, respectively. Conclusions: Quantitative evaluation of retinal microvascular abnormalities using OCTA identified FD-300 as a useful biomarker versus the other macular and peripapillary OCTA metrics in the early detection of preclinical diabetic retinal abnormalities. Translational Relevance: OCTA may be useful in detecting early retinal microvascular abnormalities in diabetic patients before the clinical findings of DR become visible.

Indexed as

Diabetes Mellitus, Type 2Diabetic RetinopathyFluorescein AngiographyHumansProspective StudiesRetinal VesselsTomography, Optical Coherence

Identifiers

PMID35446407
PMCPMC9034707
OpenAlexW4224301800

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.