Evidence map›Paper›PMID 32653554›Full record

ArticleOphthalmology. Retina2021

Rates of Eye Care and Diabetic Eye Disease among Insured Patients with Newly Diagnosed Type 2 Diabetes.

William S Gange, Benjamin Y Xu, Khristina Lung, Brian C Toy, Seth A Seabury

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Ophthalmology. Retina, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.4field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  9. Teleophthalmology Using Remote Retinal Imaging During the COVID-19 Pandemic.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
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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

5 authors at 1 institution in 1 country.

William S GangeRoski Eye Institute, Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, California.
Benjamin Y XuRoski Eye Institute, Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, California.
Khristina LungKeck-Shaeffer Initiative for Population Health Policy, Keck School of Medicine, University of Southern California, Los Angeles, California.
Brian C ToyRoski Eye Institute, Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, California. Electronic address: Brian.Toy@med.usc.edu.
Seth A SeaburyRoski Eye Institute, Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, California; Keck-Shaeffer Initiative for Population Health Policy, Keck School of Medicine, University of Southern California, Los Angeles, California.
University of Southern California · US

Funding

Ophthalmic Therapeutics Engineering CoreP30EY029220 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mahnaz Shahidi · 2018 to 2026
$6.5M
NEI NIH HHS L30 EY030684NEI NIH HHS L60 EY030684NEI NIH HHS P30 EY029220
6 · The paper itself

Abstract

purposeTo determine rates of eye examinations and diabetic eye disease in the first 5 years after diagnosis of type 2 diabetes (DM2) among continuously insured adults.

designRetrospective, longitudinal cohort study.

participantsInsured patients aged 40 years or older with newly diagnosed DM2 (n = 42 684), and control patients without diabetes matched on age, sex, and race were identified from a nationwide commercial claims database containing data from 2007 to 2015.

methodsAll patients were tracked for 6 years: 1 year before and 5 years after the index diabetes diagnosis. Receipt of eye care for individual patients was identified using International Classification of Diseases 9th edition (ICD-9) procedure codes or Current Procedural Terminology (CPT) codes indicating an eye examination, as well as encounters indicating the patient was seen by an ophthalmologist. A diagnosis of diabetic eye disease was determined by using ICD-9 codes.

main outcome measuresOutcome measures included annual receipt of eye care and development of diabetic eye disease, namely, diabetic retinopathy (DR). Associations between these outcomes and demographic factors were tested with multivariable logistic regression.

resultsDiabetic patients received more eye examinations than controls in each year, but no more than 40.4% of diabetic patients received an examination in any given year. Patients with Medicare Advantage received fewer eye examinations at 5 years (odds ratio [OR], 0.79; P < 0.01) than those with private insurance but were less likely to develop DR (OR, 0.71; P < 0.01). Hispanic patients had higher rates of DR (OR, 1.60; P < 0.01) and received fewer eye examinations (OR, 0.75; P < 0.01) at 5 years compared with White patients. Men received fewer eye examinations (OR, 0.84; P < 0.01) and were more likely to develop DR at 5 years (OR, 1.17; P < 0.01) than women. Patients with higher education were more likely to receive an eye examination and less likely to develop DR.

conclusionsThe majority of diabetic patients do not receive adequate eye care within the 5 years after initial diabetes diagnosis despite having insurance. Efforts should be made to improve adherence to screening guidelines, especially for vulnerable populations.

Indexed as

AdultAgedAged, 80 and overCaliforniaCost-Benefit AnalysisDiabetes Mellitus, Type 2Diabetic RetinopathyFollow-Up StudiesHumansMass ScreeningMedicareMiddle AgedPatient ComplianceRetrospective StudiesTime FactorsUnited States

Identifiers

PMID32653554
PMCPMC11318347
OpenAlexW3041987457

What OpenQuestion holds

Textmetadata
LicenceTDM
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.