Evidence map›Paper›PMID 33762602›Full record

ArticleScientific reports2021

Clinical study of diabetic peripheral neuropathy screening by retinal vascular geometric parameters.

Guotao Hu, Hongmei Wu, Lei Kuang, Benny Chung-Ying Zee, Ying Huang, Zhen Huang, Li He, Yuanhong Zeng, Yongbo Gao, Hailan Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. 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 at 2 institutions in 1 country.

Guotao Hu *Department of Endocrinology, Longgang Central Hospital, Shenzhen 1228 Longgang Road, Shenzhen, 518116, Guangdong, China.
Hongmei Wu *Department of Endocrinology, Longgang Central Hospital, Shenzhen 1228 Longgang Road, Shenzhen, 518116, Guangdong, China.
Lei KuangDepartment of Biostatistics, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Benny Chung-Ying ZeeDepartment of Biostatistics, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Ying HuangDepartment of Endocrinology, Longgang Central Hospital, Shenzhen 1228 Longgang Road, Shenzhen, 518116, Guangdong, China.
Zhen HuangDepartment of Laboratory, Longgang Central Hospital, Shenzhen, 518116, Guangdong, China.
Li HeDepartment of Nursing, Longgang Central Hospital, Shenzhen, 518116, Guangdong, China.
Yuanhong ZengDepartment of Ophthalmology, Longgang Central Hospital, Shenzhen, 518116, Guangdong, China.
Yongbo GaoDepartment of Stomatology, Longgang Central Hospital, Shenzhen, 518116, Guangdong, China.
Hailan WangDepartment of Endocrinology, Longgang Central Hospital, Shenzhen 1228 Longgang Road, Shenzhen, 518116, Guangdong, China. 13670298213@163.com.
Longgang Central Hospital · CNHong Kong Jockey Club · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the relationship between geometrical changes of retinal vessels and diabetic peripheral neuropathy (DPN), and to determine the effectiveness of retinal vascular geometry analysis and vibration perception threshold (VPT) for DPN assessment. Type 2 diabetes patients (n = 242) were categorized by stage of DPN. VPT and fundus photography was performed to obtain retinal vascular geometry parameters. The risk factors for DPN and the correlation between DPN stages were analyzed. The efficiency of the retinal vascular geometric parameters obtained with VPT as a diagnostic tool for DPN was examined. Stages of DPN showed a linear correlation with VPT (r = 0.818), central retinal vein equivalent (CRVE) (r = 0.716), and fractal dimension arterioles (DFa) (r = - 0.769). VPT, CRVE, DFa, and fractal dimension veins (DFv) showed high sensitivity (80%, 55%, 82%, and 67%, respectively) and specificity (92%, 93%, 82%, and 80%, respectively) for DPN diagnosis. Good agreement was observed between combined use of geometric parameters (CRVE, DFa and DFv) and VPT (Kappa value 0.430). The detection rate of DPN with combined use of geometric parameters of retinal vessels (64.88%) was significantly higher than that with use of VPT (47.52%). Retinal vascular geometry changes demonstrated significant correlation with DPN severity. VPT, CRVE, DFa, and DFv may provide insights for understanding DPN.

Indexed as

AdultArea Under CurveBiomarkersDiabetic NeuropathiesDiabetic RetinopathyFemaleFluorescein AngiographyHumansMaleMiddle AgedRetinal VesselsROC CurveBiomarkers

Identifiers

PMID33762602
PMCPMC7990935
OpenAlexW3137691547

What OpenQuestion holds

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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.