scholarly journals “Diagnostic accuracy of detecting retinopathy in patients wif diabetes using digital fundus photograph: A validation study in teh peripheral health facilities in Bangladesh” (Preprint)

10.2196/23538 ◽  
2020 ◽  
Author(s):  
Tahmina Begum ◽  
Aminur Rahman ◽  
Dilruba Nomani ◽  
Abdullah Mamun ◽  
Alayne Adams ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Validation Study ◽  
Health Facilities ◽  
Fundus Photograph

scholarly journals Diagnostic Accuracy of Detecting Diabetic Retinopathy by Using Digital Fundus Photographs in the Peripheral Health Facilities of Bangladesh: Validation Study (Preprint)

2020 ◽  
Author(s):  
Tahmina Begum ◽  
Aminur Rahman ◽  
Dilruba Nomani ◽  
Abdullah Mamun ◽  
Alayne Adams ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Diagnostic Accuracy ◽  
Validation Study ◽  
Gold Standard ◽  
Health Facilities ◽  
Receiver Operating Curve ◽  
Diabetic Retinopathy Screening ◽  
Patients With Diabetes ◽  
Retinopathy Screening

BACKGROUND Diabetic retinopathy can cause blindness even in the absence of symptoms. Although routine eye screening remains the mainstay of diabetic retinopathy treatment and it can prevent 95% of blindness, this screening is not available in many low- and middle-income countries even though these countries contribute to 75% of the global diabetic retinopathy burden. OBJECTIVE The aim of this study was to assess the diagnostic accuracy of diabetic retinopathy screening done by non-ophthalmologists using 2 different digital fundus cameras and to assess the risk factors for the occurrence of diabetic retinopathy. METHODS This validation study was conducted in 6 peripheral health facilities in Bangladesh from July 2017 to June 2018. A double-blinded diagnostic approach was used to test the accuracy of the diabetic retinopathy screening done by non-ophthalmologists against the gold standard diagnosis by ophthalmology-trained eye consultants. Retinal images were taken by using either a desk-based camera or a hand-held camera following pupil dilatation. Test accuracy was assessed using measures of sensitivity, specificity, and positive and negative predictive values. Overall agreement with the gold standard test was reported using the Cohen kappa statistic (κ) and area under the receiver operating curve (AUROC). Risk factors for diabetic retinopathy occurrence were assessed using binary logistic regression. RESULTS In 1455 patients with diabetes, the overall sensitivity to detect any form of diabetic retinopathy by non-ophthalmologists was 86.6% (483/558, 95% CI 83.5%-89.3%) and the specificity was 78.6% (705/897, 95% CI 75.8%-81.2%). The accuracy of the correct classification was excellent with a desk-based camera (AUROC 0.901, 95% CI 0.88-0.92) and fair with a hand-held camera (AUROC 0.710, 95% CI 0.67-0.74). Out of the 3 non-ophthalmologist categories, registered nurses and paramedics had strong agreement with kappa values of 0.70 and 0.85 in the diabetic retinopathy assessment, respectively, whereas the nonclinical trained staff had weak agreement (κ=0.35). The odds of having retinopathy increased with the duration of diabetes measured in 5-year intervals (<i>P</i>&lt;.001); the odds of having retinopathy in patients with diabetes for 5-10 years (odds ratio [OR] 1.81, 95% CI 1.37-2.41) and more than 10 years (OR 3.88, 95% CI 2.91-5.15) were greater than that in patients with diabetes for less than 5 years. Obesity was found to have a negative association (<i>P</i>=.04) with diabetic retinopathy. CONCLUSIONS Digital fundus photography is an effective screening tool with acceptable diagnostic accuracy. Our findings suggest that diabetic retinopathy screening can be accurately performed by health care personnel other than eye consultants. People with more than 5 years of diabetes should receive priority in any community-level retinopathy screening program. In a country like Bangladesh where no diabetic retinopathy screening services exist, the use of hand-held cameras can be considered as a cost-effective option for potential system-wide implementation. CLINICALTRIAL Not applicable

scholarly journals Diagnostic accuracy of tumor markers for malignant pleural effusion: a derivation and validation study

2017 ◽  
Vol 9 (12) ◽  
pp. 5220-5229 ◽  
Author(s):  
Kan Zhai ◽  
Wen Wang ◽  
Yao Wang ◽  
Jing-Yuan Liu ◽  
Qiong Zhou ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Diagnostic Accuracy ◽  
Tumor Markers ◽  
Validation Study ◽  
Malignant Pleural Effusion

073 T2-weighted MRI has high diagnostic accuracy for myocardial haemorrhage in myocardial infarction: a preclinical validation study in swine

Heart ◽  
2010 ◽  
Vol 96 (Suppl 1) ◽  
pp. A42.2-A42
Author(s):  
AR Payne ◽  
P Kellman ◽  
R Anderson ◽  
AJ McPhaden ◽  
S Watkins ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Diagnostic Accuracy ◽  
Validation Study ◽  
High Diagnostic Accuracy

scholarly journals Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106381 ◽  
Author(s):  
Marianne Breuninger ◽  
Bram van Ginneken ◽  
Rick H. H. M. Philipsen ◽  
Francis Mhimbira ◽  
Jerry J. Hella ◽  
...  
Keyword(s):  
Pulmonary Tuberculosis ◽  
Diagnostic Accuracy ◽  
Validation Study ◽  
Chest Radiographs ◽  
Sub Saharan Africa ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Sub Saharan
Sign in / Sign up

Export Citation Format

Share Document