Evidence map›Paper›PMID 31114116›Full record

ArticleMiddle East African journal of ophthalmology

Assessment of Macular Pigment Optical Density Using Fundus Reflectometry in Diabetic Patients.

Mary Varghese, Joel Antony

Open access · greenAbstract readComparative Study
In one paragraph

Article in Middle East African journal of ophthalmology. 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
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Mary VargheseDepartment of Ophthalmology, St. John's Medical College, Bengaluru, Karnataka, India.
Joel AntonyDepartment of Ophthalmology, St. John's Medical College, Bengaluru, Karnataka, India.
St.John's Medical College Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiabetic retinopathy (DR) is a major cause of visual disability and may be associated with reduction in macular pigment (MP) density and insufficient data are available. We present MP optical density (MPOD) measured by fundus reflectometry in eyes with and without early and moderate DR. SUBJECTS AND

methodsThis was a cross-sectional study conducted in the year 2014-2015. Participants were divided into three groups: the normal individuals without diabetes constituted Group I, while diabetic patients without DR and the patients with mild-to-moderate DR constituted Group II and Group III, respectively. MPOD and maximum optical density (Max OD) were measured using a Visucam 500 fundus camera (Carl Zeiss Meditec AG, Jena, Germany).

resultsFifty diabetic patients without DR, 50 with mild and moderate DR, and 50 healthy individuals underwent MPOD and Max OD measurements. The mean pigment density was the same in all the three groups (0.12). HbA1c levels were inversely correlated with MPOD (

conclusionsThe mean pigment density assessed by fundus reflectometry was 0.12 in each of the three groups studied. Higher HbA1c levels in diabetic patients correlated with decreased MPOD and Max OD. Better glycemic control may influence macular health in diabetic patients.

Indexed as

Diagnostic Techniques, OphthalmologicalAdultAgedBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic RetinopathyFemaleFluorescein AngiographyFundus OculiHumansMacular PigmentMaleMiddle AgedProspective StudiesBlood GlucoseMacular PigmentDiabetic retinopathyfundus reflectometrymacular pigment optical density

Identifiers

PMID31114116
PMCPMC6507373
OpenAlexW2941455772

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.