Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 520

The DOI matches its Crossref record.

Prevalence of Diabetic Retinopathy in Urban India: The Chennai Urban Rural Epidemiology Study (CURES) Eye Study, I

Rema, Mohan, Premkumar, Sundaram, Anitha, Balaji, Deepa, Raj, Pradeepa, Rajendra, Mohan, Viswanathan·2005·Investigative Opthalmology & Visual Science

Abstract

PURPOSE: To assess the prevalence of diabetic retinopathy (DR) in type 2 diabetic subjects in urban India using four-field stereo color photography. METHODS: The Chennai Urban Rural Epidemiology Study (CURES) is a population-based study conducted on a representative population of Chennai (formerly Madras) city in South India. Individuals > or =20 years in age (n = 26,001) were screened for diabetes. Of the 1529 known diabetic subjects, 1382 (90.4%) participated in the study. Subjects with newly detected diabetes (n = 354) by the oral glucose tolerance test (OGTT) also consented to participate in the study. All the subjects underwent four-field stereo color photography, and retinopathy was graded in the color fundus photographs according to Early Treatment Diabetic Retinopathy Study (ETDRS) criteria. RESULTS: The overall prevalence of DR in the population was 17.6% (95% confidence interval [CI]: 15.8-19.5), which included 20.8% (95% CI: 18.7-23.1) in known diabetic subjects and 5.1% (95% CI: 3.1-8.0) in subjects with newly detected diabetes. The prevalence of DR was significantly higher in men than in women (21.3% vs. 14.6%; P < 0.0001) and among subjects with proteinuria (P = 0.002). Logistic regression analysis showed that for every 5-year increase in the duration of diabetes, the risk for DR increased 1.89-fold (95% CI: 1.679-2.135; P < 0.0001). For every 2% elevation of glycated hemoglobin (HbA1c), the risk for DR increased by a factor of 1.7 (95% CI: 1.545-1.980; P < 0.0001). CONCLUSIONS: This study shows that the prevalence of diabetic retinopathy is lower in urban South Indians than in other ethnic groups. However, due to the large number of diabetic subjects, DR is likely to pose a public health burden in India; hence, routine retinal examination is mandatory to detect DR in the early stages.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1167/iovs.05-0019

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Rema, M., Premkumar, S., Anitha, B., Deepa, R., Pradeepa, R., & Mohan, V.
Venue
Investigative Opthalmology & Visual Science
Published
2005-07-01
Volume
46
Issue
7
Pages
2328
ISSN
  • 0146-0404 (ISSN-L)
  • 1552-5783
OpenAlex
W2051164043
Cited by
520
References
0
FWCI
11.06
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.