Evidence map›Paper›PMID 33375699›Full record

ArticleJournal of clinical medicine2020

Quantitative Color Fundus Autofluorescence in Patients with Diabetes Mellitus.

Stela Vujosevic, Caterina Toma, Paolo Nucci, Marco Brambilla, Stefano De Cillà

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Review
  3. State-of-the-Art Research on Diabetic Retinopathy.Journal of clinical medicine · 2022
    Article
  4. Structural evaluation in inherited retinal diseases.The British journal of ophthalmology · 2021
    Review
  5. Review
  6. 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

5 authors at 2 institutions in 1 country.

Stela VujosevicEye Clinic, IRCCS MultiMedica, 20123 Milan, Italy.ORCID 0000-0001-6773-9967
Caterina TomaUniversity Hospital Maggiore della Carità, Eye Clinic, 28100 Novara, Italy.ORCID 0000-0002-1505-6029
Paolo NucciDepartment of Clinical Sciences and Community Health, University of Milan, 20123 Milan, Italy.
Marco BrambillaDepartment of Medical Physics, University Hospital Maggiore della Carità, 28100 Novara, Italy.
Stefano De CillàUniversity Hospital Maggiore della Carità, Eye Clinic, 28100 Novara, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new short wavelength confocal blue-light 450 nm-fundus autofluorescence (color-FAF) allows for visualization of minor fluorophores (e.g., advanced glycation end products, AGEs), besides lipofuscin. The aim of the present pilot study was to quantitatively evaluate color-FAF in patients with diabetes mellitus (DM) and to correlate these data with different stages of retinal disease severity. Optical coherence tomography and color-FAF images of 193 patients/eyes and 18 controls were analyzed using a custom software for quantification of the long (red) and short (green) wavelength components of the emission spectrum (REFC/GEFC). Measurements were performed in nine quadrants of the 6-mm ETDRS macular grid. Foveal GEFC and REFC intensities were higher in patients with DM compared to controls (

Indexed as

advanced glycation end productsautofluorescencediabetes mellitusdiabetic macular edemadiabetic retinopathygreen-emitting fluorophoreslipofuscinretinal inflammation

Identifiers

PMID33375699
PMCPMC7796312
OpenAlexW3113872649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.