Evidence map›Paper›PMID 29756128›Full record

ArticleInternational journal of clinical endocrinology and metabolism2017

Diabetic Retinopathy: Focus on Minority Populations.

Arpine Barsegian, Boleslav Kotlyar, Justin Lee, Moro O Salifu, Samy I McFarlane

Abstract read
In one paragraph

Article in International journal of clinical endocrinology and metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Effect of Accessible Nonmydriatic Retinal Imaging on Diabetic Retinopathy Surveillance Rates.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
    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.

Arpine BarsegianDepartment of Ophthalmology, SUNY-Downstate Medical Center and Kings County Hospital, Brooklyn, NY 11203, USA.
Boleslav KotlyarDepartment of Ophthalmology, SUNY-Downstate Medical Center and Kings County Hospital, Brooklyn, NY 11203, USA.
Justin LeeDepartment of Medicine, SUNY-Downstate Medical Center and Kings County Hospital, Brooklyn, NY 11203, USA.
Moro O SalifuDepartment of Medicine, SUNY-Downstate Medical Center and Kings County Hospital, Brooklyn, NY 11203, USA.
Samy I McFarlaneDepartment of Medicine, SUNY-Downstate Medical Center and Kings County Hospital, Brooklyn, NY 11203, USA.

Funding

RESEARCH TRAINING/EDUCATION COREP20MD006875 · NIMHD · SUNY DOWNSTATE MEDICAL CENTER · PI BROWNE, RUTH C, FRASER, MARILYN · 2012 to 2016
$5.3M
NIMHD NIH HHS P20 MD006875
6 · The paper itself

Abstract

Diabetic retinopathy is a major cause of blindness in the United States. With rise of the epidemic of obesity and diabetes in the USA and around the globe, serious and common diabetic complications are evolving as a major public health problem, particularly among minority populations. These populations are disproportionately affected by diabetes and 2-3 times more likely to develop visually significant complications. In this highly illustrated review article, we discuss the diabetic epidemic, highlighting the biology and the pathophysiologic mechanisms of this disorder on the anatomy of the eye. We also discuss the risk factors and the implications for minority populations. For the health care providers, we provide cutting edge information and imminently relevant information to help evaluate, manage, and know when to refer their patients to a specialist in ophthalmology to quell the tide of the epidemic.

Identifiers

PMID29756128
PMCPMC5945200

What OpenQuestion holds

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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.