Evidence map›Paper›PMID 36801971›Full record

ReviewGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2023

Review and comparison of retinal vessel calibre and geometry software and their application to diabetes, cardiovascular disease, and dementia.

Laima Brazionis, Nicola Quinn, Sami Dabbah, Chris D Ryan, Dennis M Møller, Hilary Richardson, Anthony C Keech, Andrzej S Januszewski, Jakob Grauslund, Malin Lundberg Rasmussen and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  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

12 authors at 6 institutions in 3 countries.

Laima BrazionisDepartment of Medicine, The University of Melbourne, Melbourne, VIC, Australia.
Nicola QuinnNHMRC Clinical Trials Centre, The University of Sydney, 92 Parramatta Rd, Camperdown, NSW, 2050, Australia.
Sami DabbahDepartment of Ophthalmology, Odense University Hospital, Odense, Denmark.
Chris D RyanDepartment of Medicine, The University of Melbourne, Melbourne, VIC, Australia.
Dennis M MøllerDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.
Hilary RichardsonDepartment of Medicine, The University of Melbourne, Melbourne, VIC, Australia.
Anthony C KeechNHMRC Clinical Trials Centre, The University of Sydney, 92 Parramatta Rd, Camperdown, NSW, 2050, Australia.
Andrzej S JanuszewskiDepartment of Medicine, The University of Melbourne, Melbourne, VIC, Australia. Andrzej.Januszewski@sydney.edu.au.ORCID http://orcid.org/0000-0003-0583-3717
Jakob GrauslundDepartment of Ophthalmology, Odense University Hospital, Odense, Denmark.
Malin Lundberg RasmussenDepartment of Ophthalmology, Odense University Hospital, Odense, Denmark.
Tunde PetoCentre for Public Health, Queen's University Belfast, Belfast, UK. T.Peto@qub.ac.uk.
Alicia J JenkinsDepartment of Medicine, The University of Melbourne, Melbourne, VIC, Australia.
The University of Sydney · AUQueen's University Belfast · GBUniversity of Southern Denmark · DKOdense University Hospital · DKSteno Diabetes Centers · DKThe University of Melbourne · AU

Funding

National Health and Medical Research Council GNT1079864
6 · The paper itself

Abstract

Developments in retinal imaging technologies have enabled the quantitative evaluation of the retinal vasculature. Changes in retinal calibre and/or geometry have been reported in systemic vascular diseases, including diabetes mellitus (DM), cardiovascular disease (CVD), and more recently in neurodegenerative diseases, such as dementia. Several retinal vessel analysis softwares exist, some being disease-specific, others for a broader context. In the research setting, retinal vasculature analysis using semi-automated software has identified associations between retinal vessel calibre and geometry and the presence of or risk of DM and its chronic complications, and of CVD and dementia, including in the general population. In this article, we review and compare the most widely used semi-automated retinal vessel analysis softwares and their associations with ocular imaging findings in common systemic diseases, including DM and its chronic complications, CVD, and dementia. We also provide original data comparing retinal calibre grading in people with Type 1 DM using two softwares, with good concordance.

Indexed as

Cardiovascular DiseasesDementiaDiabetes Mellitus, Type 1Diabetic RetinopathyHumansRetinal VesselsCardiovascular diseaseDementiaDiabetesDiabetic retinopathyRetinal vessel assessmentSoftware

Identifiers

PMID36801971
OpenAlexW4321337843

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.