Evidence map›Paper›PMID 38780954›Full record

Observational studyTranslational vision science & technology2024

Reduced Retinal Vascular Density and Skeleton Length in Amblyopia.

Wenxin Su, Li Ma, Kexin Li, Yiqun Hu, Yanqing Mao, Wenbin Xie, Xinya Hu, Tao Huang, Junfeng Lv, Mingxuan Wang and 4 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

14 authors.

Wenxin SuState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Sciences, Institutes of Brain Science, Dept. of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Li MaDepartment of Computer Science, Monash University, Monash, VIC, Australia.
Kexin LiState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Sciences, Institutes of Brain Science, Dept. of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Yiqun HuShenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, Shenzhen, China.
Yanqing MaoDepartment of General Practice, The First Affiliated Hospital of Soochow University, Soochow Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China.
Wenbin XieState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Sciences, Institutes of Brain Science, Dept. of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Xinya HuShenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, Shenzhen, China.
Tao HuangShenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, Shenzhen, China.
Junfeng LvShenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, Shenzhen, China.
Mingxuan WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Biao YanState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Sciences, Institutes of Brain Science, Dept. of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Xue YaoShenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, Shenzhen, China.
Xiaohe YanShenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, Shenzhen, China.
Jiayi ZhangState Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Sciences, Institutes of Brain Science, Dept. of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the possible relationship between retinal vascular abnormalities and amblyopia by analyzing vascular structures of fundus images. Methods: In this observational study, retinal fundus images were collected from 36 patients with unilateral amblyopia, 33 patients with bilateral amblyopia, and 36 healthy control volunteers. We developed a customized training algorithm based on U-Net to digitalize the vasculature in the fundus images to quantify vascular density (area and fractal dimension), skeleton length, and number of bifurcation points. For statistical comparisons, this study divided participants into two groups. The amblyopic eyes and the fellow eyes of patients with unilateral amblyopia formed the paired group, while bilateral amblyopic patients and healthy controls formed the independent group. Results: In the paired group, the vascular area (P = 0.007), vascular fractal dimension (P = 0.007), and vascular skeleton length (P = 0.002) of the amblyopic eyes were significantly smaller than those of the fellow eyes. In the independent group, significant decreases in the vascular fractal dimension (P = 0.006) and skeleton length (P = 0.048) were observed in bilateral amblyopia compared to control. The vascular area was also significantly correlated with best-corrected visual acuity in amblyopic eyes. Conclusions: This study demonstrated that retinal vascular density and skeleton length in amblyopic eyes were significantly smaller compared to control, indicating an association between the changes in retinal vascular features and the state of amblyopia. Translational Relevance: Our algorithm presents amblyopic retinal vascular changes that are more biologically interpretable for both clinicians and researchers.

Indexed as

AlgorithmsAmblyopiaRetinal VesselsVisual AcuityAdolescentAdultChildFemaleFractalsHumansMaleMicrovascular DensityYoung Adult

Identifiers

PMID38780954
PMCPMC11127489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.