Evidence map›Paper›PMID 33654680›Full record

ReviewQuantitative imaging in medicine and surgery2021

Differential artery-vein analysis in quantitative retinal imaging: a review.

Minhaj Nur Alam, David Le, Xincheng Yao

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

3 authors.

Minhaj Nur AlamDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
David LeDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
Xincheng YaoDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AAKALU, VINAY · 1985 to 2025
$14.8M
Functional imaging of retinal photoreceptorsR01EY023522 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YAO, XINCHENG · 2014 to 2024
$3.5M
Differential artery-vein analysis in OCT angiography for objective classification of diabetic retinopathyR01EY030842 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIM, JENNIFER IRENE, YAO, XINCHENG · 2020 to 2023
$1.7M
Functional tomography of neurovascular coupling interactions in healthy and diseased retinasR01EY030101 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YAO, XINCHENG · 2019 to 2022
$1.4M
NEI NIH HHS P30 EY001792NEI NIH HHS R01 EY023522NEI NIH HHS R01 EY030101NEI NIH HHS R01 EY030842
6 · The paper itself

Abstract

Quantitative retinal imaging is essential for eye disease detection, staging classification, and treatment assessment. It is known that different eye diseases or severity stages can affect the artery and vein systems in different ways. Therefore, differential artery-vein (AV) analysis can improve the performance of quantitative retinal imaging. In this article, we provide a brief summary of technical rationales and clinical applications of differential AV analysis in fundus photography, optical coherence tomography (OCT), and OCT angiography (OCTA).

Indexed as

Artery-vein classification (AV classification)differential artery-vein analysiseye conditioneye diseaseretinopathy

Identifiers

PMID33654680
PMCPMC7829162

What OpenQuestion holds

Textmetadata
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.