Evidence map›Paper›PMID 39610487›Full record

ArticleJournal of diabetes and metabolic disorders2024

ECG-gated retinal vessel calibre as a novel measure of aberrant pulsatile retinal flow in diabetes mellitus: a cross-sectional study.

Anchal Lal, Michael Anthony Tony Barry, Paul Mitchell, Aravinda Thiagalingam

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Anchal LalDepartment of Cardiology, Westmead Hospital, Cnr Darcy and Hawkesbury Roads, Sydney, NSW 2145 Australia.ORCID 0000-0002-6270-3137
Michael Anthony Tony BarryDepartment of Cardiology, Westmead Hospital, Cnr Darcy and Hawkesbury Roads, Sydney, NSW 2145 Australia.ORCID 0000-0002-6061-2784
Paul MitchellWestmead Clinical School, The University of Sydney, Westmead, 2145 Australia.ORCID 0000-0003-2470-3790
Aravinda ThiagalingamDepartment of Cardiology, Westmead Hospital, Cnr Darcy and Hawkesbury Roads, Sydney, NSW 2145 Australia.ORCID 0000-0002-7763-7806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate ECG-gated retinal vessel calibre as a novel measure of aberrant pulsatile retinal flow in diabetes mellitus. Methods: A novel mydriatic ECG-gated fundoscope was used to acquire retinal vessel calibre measurements at four cardiac cycle time points from end diastole to early diastole. An inhouse software recorded the exact time when an image was captured to corroborate ECG-synchronisation. Arterial applanation tonometry, an alternative method of assessing aberrant blood flow, was used to measure carotid-femoral pulse wave velocity (cPWV) and augmentation index (AIx). The intraclass correlation (ICC) was used to perform intra- and inter-observer reliability analyses. Two reviewers measured the retinal vessel calibre in single retinal arterioles and venules. A receiver operating characteristic curve determined associations with diabetes mellitus. Results: In this study 119 controls and 120 participants with diabetes mellitus were recruited. Mean peak change in retinal arteriolar calibre from baseline was higher in diabetes mellitus compared with controls (controls: 0.92%, IQR 0.63 vs diabetes mellitus: 2.05%, IQR 1.25, Conclusion: Higher retinal arteriolar pulsatility appears to be more strongly correlated with diabetes mellitus than arterial applanation tonometry.

Indexed as

Carotid-femoral pulse wave velocityDiabetes mellitusElectrocardiogramPulsatile flowPulse wave analysisRetina

Identifiers

PMID39610487
PMCPMC11599655

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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.