Literature DB >> 1546868

Screening for diabetic retinopathy.

D E Singer1, D M Nathan, H A Fogel, A P Schachat.   

Abstract

PURPOSE: To determine the appropriate patients, methods, and timing for screening for diabetic retinopathy. DATA SOURCES: Relevant articles were identified through prominent review articles, the authors' files, recommendations from experts, and a MEDLINE search (1986 to the present); additional references were selected from the bibliographies of identified articles. STUDY SELECTION: Selection of articles on the natural history of retinopathy was limited to large clinical series and formal epidemiologic studies of defined populations. Selection of articles on the therapeutic effect of photocoagulation and of glycemic control was limited to randomized trials. Sources bearing on the accuracy of screening modalities were necessarily more varied. DATA EXTRACTION: For important variables, individual estimates from multiple studies are presented rather than a single meta-analytic summary estimate.
RESULTS: Screening for retinopathy is justifiable if early detection leads to less vision loss at an acceptable cost. The evidence shows that 1) laser therapy reduces the rate of vision loss by 50% among patients with proliferative retinopathy and macular edema, conditions that are often asymptomatic; 2) duration of diabetes is the main risk factor for retinopathy; and 3) standard ophthalmoscopic examination has only moderate sensitivity (about 80% in research settings) and specificity (greater than 90% for proliferative retinopathy but lower for macular edema), making seven-field stereophotography a more accurate method. Estimates of cost effectiveness indicate that screening for retinopathy not only saves years of vision but may be cost saving from a societal perspective.
CONCLUSIONS: Screening for retinopathy in patients with diabetes, and subsequent photocoagulation therapy for those who have high risk macular edema or proliferative retinopathy, is clearly beneficial.

Entities:  

Mesh:

Year:  1992        PMID: 1546868     DOI: 10.7326/0003-4819-116-8-660

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  27 in total

1.  Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images.

Authors:  C Sinthanayothin; J F Boyce; H L Cook; T H Williamson
Journal:  Br J Ophthalmol       Date:  1999-08       Impact factor: 4.638

2.  Detection of clinically significant retinopathy of prematurity using wide-angle digital retinal photography: a report by the American Academy of Ophthalmology.

Authors:  Michael F Chiang; Michele Melia; Angela N Buffenn; Scott R Lambert; Franco M Recchia; Jennifer L Simpson; Michael B Yang
Journal:  Ophthalmology       Date:  2012-04-27       Impact factor: 12.079

3.  Computer-aided diabetic retinopathy detection using trace transforms on digital fundus images.

Authors:  Karthikeyan Ganesan; Roshan Joy Martis; U Rajendra Acharya; Chua Kuang Chua; Lim Choo Min; E Y K Ng; Augustinus Laude
Journal:  Med Biol Eng Comput       Date:  2014-06-24       Impact factor: 2.602

Review 4.  Screening, prevention, counseling, and treatment for the complications of type II diabetes mellitus. Putting evidence into practice.

Authors:  S Vijan; D L Stevens; W H Herman; M M Funnell; C J Standiford
Journal:  J Gen Intern Med       Date:  1997-09       Impact factor: 5.128

Review 5.  Impact of diabetic retinopathy screening on a British district population: case detection and blindness prevention in an evidence-based model.

Authors:  M O Bachmann; S J Nelson
Journal:  J Epidemiol Community Health       Date:  1998-01       Impact factor: 3.710

6.  The accuracy of digital-video retinal imaging to screen for diabetic retinopathy: an analysis of two digital-video retinal imaging systems using standard stereoscopic seven-field photography and dilated clinical examination as reference standards.

Authors:  Mary Gilbert Lawrence
Journal:  Trans Am Ophthalmol Soc       Date:  2004

7.  Screening for diabetic retinopathy in James Bay, Ontario: a cost-effectiveness analysis.

Authors:  David Maberley; Hugh Walker; Anita Koushik; Alan Cruess
Journal:  CMAJ       Date:  2003-01-21       Impact factor: 8.262

8.  Teleretinal imaging to screen for diabetic retinopathy in the Veterans Health Administration.

Authors:  Anthony A Cavallerano; Paul R Conlin
Journal:  J Diabetes Sci Technol       Date:  2008-01

9.  Vision health disparities in the United States by race/ethnicity, education, and economic status: findings from two nationally representative surveys.

Authors:  Xinzhi Zhang; Mary Frances Cotch; Asel Ryskulova; Susan A Primo; Parvathy Nair; Chiu-Fang Chou; Linda S Geiss; Lawrence E Barker; Amanda F Elliott; John E Crews; Jinan B Saaddine
Journal:  Am J Ophthalmol       Date:  2012-12       Impact factor: 5.258

10.  A diabetes control program in a public health care setting.

Authors:  S B Baker; C Vallbona; V Pavlik; C E Fasser; M Armbruster; R McCray; R L Baker
Journal:  Public Health Rep       Date:  1993 Sep-Oct       Impact factor: 2.792

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