Literature DB >> 9507921

Screening for diabetic retinopathy by general practitioners: ophthalmoscopy or retinal photography as 35 mm colour transparencies?

D R Owens1, R L Gibbins, P A Lewis, S Wall, J C Allen, R Morton.   

Abstract

In order to assess the relative ability of general practitioners (GPs) to detect diabetic retinopathy (DR), especially sight-threatening diabetic retinopathy (STDR) by direct ophthalmoscopy or by examining, on a separate occasion, retinal images as 35 mm colour transparencies, a South and Mid Wales primary care-based study was performed in four general practices (six GPs). The participating GPs were provided with standardized training and equipment. Both methods were compared to the 'reference' grade of DR provided by the Diabetic Retinopathy Reading Centre (London), based on the same retinal images. Ophthalmoscopy and retinal photography (Canon CR4 45NM) with mydriasis were all practice based. The clinical assessments were based on a protocol developed for screening for DR in Europe. A total of 996 people with diabetes were identified, representing a prevalence of known diabetes of 2.1%. After exclusions on medical grounds, 897 patients were available for screening, of whom 605 (68%) were photographed. Based on the retinal images, the reference centre identified DR in 43% and STDR in 14.4%. In total, 597 valid comparisons between GPs and the reference centre were obtained; of these, 462 (77%) were high quality photographs which were used in subsequent analysis. The sensitivity for detecting any DR increased from 62.6% (95% CI 55.9-69.4) with ophthalmoscopy to 79.2% (95% CI 73.6-84.9) using retinal photographs, specificity remaining essentially unchanged at 75.0 (95% CI 69.5-80.5) and 73.5% (95% CI 68.0-79.1) with the positive predictive value (PPV) increasing from 67.2 (95% CI 60.4-74.0) to 71.0% (95% CI 65.0-77.0), respectively. The detection of STDR sensitivity increased from 65.7 (95% CI 54.4-77.1) with ophthalmoscopy alone to 87.3% (95% CI 79.4-95.2) based on retinal photographs with specificity falling from 93.8 (95% CI 91.4-96.3) to 84.8% (95% CI 81.2-88.5) and PPV from 65.7 (95% CI 54.4-77.1) to 51.2% (95% CI 42.1-60.3), respectively. We conclude that the use of standardized 35 mm colour transparency retinal photographs for screening by trained GPs in a primary care setting achieves an acceptable detection rate (>87%) for STDR, contrasting with ophthalmoscopy alone (66%), which was below the proposed UK standard of 80%.

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Year:  1998        PMID: 9507921     DOI: 10.1002/(SICI)1096-9136(199802)15:2<170::AID-DIA518>3.0.CO;2-H

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  11 in total

1.  Feasibility study on computer-aided screening for diabetic retinopathy.

Authors:  Apichart Singalavanija; Jirayuth Supokavej; Parapan Bamroongsuk; Chanjira Sinthanayothin; Suthee Phoojaruenchanachai; Viravud Kongbunkiat
Journal:  Jpn J Ophthalmol       Date:  2006 Jul-Aug       Impact factor: 2.447

2.  Cost effectiveness analysis of screening for sight threatening diabetic eye disease.

Authors:  M James; D A Turner; D M Broadbent; J Vora; S P Harding
Journal:  BMJ       Date:  2000-06-17

3.  No loss of chance of diabetic retinopathy screening by endocrinologists with a digital fundus camera.

Authors:  Natacha Germain; Bodgan Galusca; Nilanjana Deb-Joardar; Luc Millot; Pierre Manoli; Gilles Thuret; Philippe Gain; Bruno Estour
Journal:  Diabetes Care       Date:  2011-01-25       Impact factor: 19.112

4.  Incidence of diabetic retinopathy in people with type 2 diabetes mellitus attending the Diabetic Retinopathy Screening Service for Wales: retrospective analysis.

Authors:  R L Thomas; F Dunstan; S D Luzio; S Roy Chowdury; S L Hale; R V North; R L Gibbins; D R Owens
Journal:  BMJ       Date:  2012-02-22

5.  Role of early screening for diabetic retinopathy in patients with diabetes mellitus: an overview.

Authors:  Praveen Vashist; Sameeksha Singh; Noopur Gupta; Rohit Saxena
Journal:  Indian J Community Med       Date:  2011-10

6.  Diagnostic test accuracy of diabetic retinopathy screening by physician graders using a hand-held non-mydriatic retinal camera at a tertiary level medical clinic.

Authors:  Mapa Mudiyanselage Prabhath Nishantha Piyasena; Jennifer L Y Yip; David MacLeod; Min Kim; Venkata S Murthy Gudlavalleti
Journal:  BMC Ophthalmol       Date:  2019-04-08       Impact factor: 2.086

7.  Development and Validation of a Diabetic Retinopathy Screening Modality Using a Hand-Held Nonmydriatic Digital Retinal Camera by Physician Graders at a Tertiary-Level Medical Clinic: Protocol for a Validation Study.

Authors:  Mapa Mudiyanselage Prabhath Nishantha Piyasena; Venkata S Murthy Gudlavalleti; Clare Gilbert; Jennifer Ly Yip; Tunde Peto; David MacLeod; Charith Fonseka; Aruna Kulatunga; Bgwmkcb Bandutilake; Mangala Dhanapala; Lalani Pathirana; Heshani Dissanayake
Journal:  JMIR Res Protoc       Date:  2018-12-10

8.  Human resources, patient load, and infrastructure at institutions providing diabetic care in India: The India 11-city 9-state study.

Authors:  Raghupathy Anchala; Aashrai Sai Venkat Gudlavalleti; Murthy V S Gudlavalleti; Vivek Singh; Rajan Shukla; A T Jotheeswaran; R Giridhara Babu; Srikrishna S Ramachandra; Jayanti Sagar; Souvik Bandyopadhyay; Hira Pant Ballabh; Clare E Gilbert
Journal:  Indian J Endocrinol Metab       Date:  2016-04

9.  Strengthening diabetes retinopathy services in India: Qualitative insights into providers' perspectives: The India 11-city 9-state study.

Authors:  Nanda Kishore Kannuri; Raghupathy Anchala; Gudlavalleti V S Murthy; Clare E Gilbert
Journal:  Indian J Endocrinol Metab       Date:  2016-04

10.  Implementation and sustainment of a statewide telemedicine diabetic retinopathy screening network for federally designated safety-net clinics.

Authors:  Ana Bastos de Carvalho; S Lee Ware; Feitong Lei; Heather M Bush; Robert Sprang; Eric B Higgins
Journal:  PLoS One       Date:  2020-11-04       Impact factor: 3.240

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