Evidence map›Paper›PMID 23052061›Full record

ArticleDiabetologia2013

Diabetic retinopathy at diagnosis of type 2 diabetes in the UK: a database analysis.

K Kostev, W Rathmann

Abstract read
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In one paragraph

Article in Diabetologia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

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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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

K KostevIMS Health, Epidemiology, Darmstädter Landstraße 108, 60598 Frankfurt am Main, Germany. kkostev@de.imshealth.com
W Rathmann
Deutsches Diabetes-Zentrum e.V. · DEInstitute for Sports Medicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThe aim of this study was to estimate the prevalence of and risk factors for diabetic retinopathy in newly diagnosed type 2 diabetes in general practices in the UK.

methodsThe Disease Analyzer Database (UK) assembles longitudinal data on diagnoses, prescriptions and laboratory values reported from 674 office-based physicians (97 general practices). Patients with newly diagnosed type 2 diabetes (between 2005 and 2009) were identified and the presence of retinopathy was defined based on the International Classification of Diseases code (E11.3) or on the original diagnosis text. The time period between first diabetes diagnosis and first retinopathy diagnosis was calculated. Logistic regression was used to examine associations of potential risk factors with prevalent diabetic retinopathy.

resultsThere were 12,524 patients with newly diagnosed type 2 diabetes mellitus in the general practices. The mean age was 65 years with slightly more male patients (56%). The prevalence of diagnosed retinopathy was 19.0% (95% CI 18.3%, 19.7%). The median time to first retinopathy diagnosis was 309 (interquartile range 50-693) days. Factors independently associated with retinopathy in multivariate logistic regression were age (OR 1.02 [95% CI 1.01, 1.03] per year of age), male sex (OR 1.11 [95% CI 1.01, 1.22]), HbA(1c) (OR 1.12 [95% CI 1.02, 1.22] per 1% [11 mmol/mol] increase), systolic blood pressure (OR 1.03 [95% CI 1.01, 1.05] per 10 units) and antihypertensive drugs. No significant relationships were observed for obesity and diastolic blood pressure. CONCLUSIONS/

interpretationDiabetic retinopathy was diagnosed in about one out of five patients with type 2 diabetes during the first year after diabetes diagnosis in UK general practices. Age, male sex, hyperglycaemia and hypertension were identified as risk factors of early retinopathy in type 2 diabetes.

Indexed as

AgedAge FactorsAntihypertensive AgentsDatabases, FactualDiabetes Mellitus, Type 2Diabetic RetinopathyEarly DiagnosisFemaleGeneral PracticeGlycated HemoglobinHumansHyperglycemiaHypertensionLongitudinal StudiesMaleMiddle AgedAntihypertensive AgentsGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID23052061
OpenAlexW2158076638

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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.