Evidence map›Paper›PMID 26707415›Full record

ArticleOphthalmology2016

The Association Between Sociodemographic Factors, Common Systemic Diseases, and Keratoconus: An Analysis of a Nationwide Heath Care Claims Database.

Maria A Woodward, Taylor S Blachley, Joshua D Stein

Abstract read
In one paragraph

Article in Ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 5 pooled it
8.9field-weighted citation impact, top 2% 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

89 citing papers in PubMed, 5 syntheses or guidelines pooled it, 173 citations in OpenAlex.

  1. Pooled it
  2. Ocular manifestations of obstructive sleep apnea: a systematic review and meta-analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Pooled it
  3. Pooled it
  4. Eye rubbing in the aetiology of keratoconus: a systematic review and meta-analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Pooled it
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29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Maria A WoodwardDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan. Electronic address: mariawoo@umich.edu.
Taylor S BlachleyDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Joshua D SteinDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · US

Funding

Telemedicine For Anterior Eye DiseasesK23EY023596 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOODWARD, MARIA ANNEKE · 2013 to 2017
$1.1M
NEI NIH HHS K23 EY023596NEI NIH HHS K23EY023596-01
6 · The paper itself

Abstract

purposeThe purpose of this study was to determine whether an association exists between common systemic diseases, sociodemographic factors, and keratoconus (KCN) among a large, diverse group of insured individuals in the United States.

designRetrospective longitudinal cohort study.

participantsSixteen thousand fifty-three patients with KCN were matched 1:1 with persons without KCN.

methodsPersons with KCN were identified using billing codes and matched by age, gender, and overall health with a control group with no record of KCN. Multivariable logistic regression assessed whether sociodemographic factors and certain systemic diseases affected the odds of KCN.

main outcome measuresOdds ratios (ORs) with 95% confidence intervals (CIs) of receiving a KCN diagnosis.

resultsAfter adjustment for confounders, black persons had 57% higher odds (adjusted OR, 1.57; 95% CI, 1.38-1.79; P < 0.001) and Latino persons had 43% higher odds (adjusted OR, 1.43; 95% CI, 1.26-1.62; P < 0.001) of being diagnosed with KCN compared with whites. Asians had 39% reduced odds (adjusted OR, 0.61; 95% CI, 0.50-0.75; P < 0.001) of being diagnosed with KCN compared with whites. Patients with uncomplicated diabetes mellitus (DM) had 20% lower odds of KCN (adjusted OR, 0.80; 95% CI, 0.71-0.90; P = 0.002), and patients with DM complicated by end-organ damage had 52% lower odds of having KCN (adjusted OR, 0.48; 95% CI, 0.40-0.58; P < 0.001) compared with those without DM. Persons with collagen vascular disease had 35% lower odds of KCN (adjusted OR, 0.65; 95% CI, 0.47-0.91; P = 0.01). Other conditions found to have increased odds of KCN included sleep apnea (adjusted OR, 1.13; 95% CI, 1.00-1.27; P = 0.05), asthma (adjusted OR, 1.31; 95% CI, 1.17-1.47; P < 0.001), and Down syndrome (adjusted OR, 6.22; 95% CI, 2.08-18.66; P < 0.001). There was no association between KCN and allergic rhinitis, mitral valve disorder, aortic aneurysm, or depression (P > 0.1 for all comparisons).

conclusionsClinicians caring for persons with KCN should inquire about breathing or sleeping and, when appropriate, refer patients for evaluation for sleep apnea or asthma. Patients with DM have lower risk of KCN, potentially because of corneal glycosylation.

Indexed as

AdultAsthmaCurrent Procedural TerminologyDatabases, FactualDiabetes MellitusEpidemiologic StudiesEthnicityFemaleFollow-Up StudiesHumansInsurance Claim ReviewKeratoconusMaleManaged Care ProgramsMichiganOdds Ratio

Identifiers

PMID26707415
PMCPMC4766030
OpenAlexW2267240987

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.