scholarly journals Use of smartphones for detecting diabetic retinopathy: a protocol for a scoping review of diagnostic test accuracy studies

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e028811 ◽  
Author(s):  
Choon Han Tan ◽  
Willie-Henri Quah ◽  
Colin S H Tan ◽  
Helen Smith ◽  
Lorainne Tudor Car
Keyword(s):  
Diabetic Retinopathy ◽  
Diagnostic Test ◽  
Scoping Review ◽  
Diagnostic Test Accuracy ◽  
Fundus Photography ◽  
Primary Data ◽  
Cochrane Library ◽  
Future Research ◽  
Diabetic Patients ◽  
Test Accuracy

IntroductionDiabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus and the leading cause of impaired vision in adults worldwide. Early detection and treatment for DR could improve patient outcomes. Traditional methods of detecting DR include the gold standard Early Treatment Diabetic Retinopathy Study seven standard fields fundus photography, ophthalmoscopy and slit-lamp biomicroscopy. These modalities can be expensive, difficult to access and require involvement of specialised healthcare professionals. With the development of mobile phone technology, there is a growing interest in their use for DR identification as this approach is potentially more affordable, accessible and easier to use. Smartphones can be employed in a variety of ways for ophthalmoscopy including the use of smartphone camera, various attachments and artificial intelligence for obtaining and grading of retinal images. The aim of this scoping review is to determine the diagnostic test accuracy of various smartphone ophthalmoscopy approaches for detecting DR in diabetic patients.Methods and analysisWe will perform an electronic search of MEDLINE, Embase and Cochrane Library for literature published from 2000 onwards. Two reviewers will independently analyse studies for eligibility and assess study quality using the QUADAS-2 tool. Data for a 2⨉2 contingency table will be extracted. If possible, we will pool sensitivity and specificity data using the random-effects model and construct a summary receiver operating characteristic curve. In case of high heterogeneity, we will present the findings narratively. Subgroup analysis and sensitivity analysis will be performed where appropriate.Ethics and disseminationThis scoping review aims to provide an overview of smartphone ophthalmoscopy in DR identification. It will present findings on the accuracy of smartphone ophthalmoscopy in detecting DR, identify gaps in the literature and provide recommendations for future research. This review does not require ethical approval as we will not collect primary data.

scholarly journals Use of Smartphones to Detect Diabetic Retinopathy: Scoping Review and Meta-Analysis of Diagnostic Test Accuracy Studies (Preprint)

2019 ◽  
Author(s):  
Choon Han Tan ◽  
Bhone Myint Kyaw ◽  
Helen Smith ◽  
Colin S Tan ◽  
Lorainne Tudor Car
Keyword(s):  
Diabetic Retinopathy ◽  
Diagnostic Accuracy ◽  
Diagnostic Test ◽  
Sensitivity And Specificity ◽  
Meta Analysis ◽  
Diagnostic Test Accuracy ◽  
Fundus Photography ◽  
Diabetic Patients ◽  
Test Accuracy ◽  
Reference Standard

BACKGROUND Diabetic retinopathy (DR), a common complication of diabetes mellitus, is the leading cause of impaired vision in adults worldwide. Smartphone ophthalmoscopy involves using a smartphone camera for digital retinal imaging. Utilizing smartphones to detect DR is potentially more affordable, accessible, and easier to use than conventional methods. OBJECTIVE This study aimed to determine the diagnostic accuracy of various smartphone ophthalmoscopy approaches for detecting DR in diabetic patients. METHODS We performed an electronic search on the Medical Literature Analysis and Retrieval System Online (MEDLINE), EMBASE, and Cochrane Library for literature published from January 2000 to November 2018. We included studies involving diabetic patients, which compared the diagnostic accuracy of smartphone ophthalmoscopy for detecting DR to an accurate or commonly employed reference standard, such as indirect ophthalmoscopy, slit-lamp biomicroscopy, and tabletop fundus photography. Two reviewers independently screened studies against the inclusion criteria, extracted data, and assessed the quality of included studies using the Quality Assessment of Diagnostic Accuracy Studies–2 tool, with disagreements resolved via consensus. Sensitivity and specificity were pooled using the random effects model. A summary receiver operating characteristic (SROC) curve was constructed. This review is reported in line with the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies guidelines. RESULTS In all, nine studies involving 1430 participants were included. Most studies were of high quality, except one study with limited applicability because of its reference standard. The pooled sensitivity and specificity for detecting any DR was 87% (95% CI 74%-94%) and 94% (95% CI 81%-98%); mild nonproliferative DR (NPDR) was 39% (95% CI 10%-79%) and 95% (95% CI 91%-98%); moderate NPDR was 71% (95% CI 57%-81%) and 95% (95% CI 88%-98%); severe NPDR was 80% (95% CI 49%-94%) and 97% (95% CI 88%-99%); proliferative DR (PDR) was 92% (95% CI 79%-97%) and 99% (95% CI 96%-99%); diabetic macular edema was 79% (95% CI 63%-89%) and 93% (95% CI 82%-97%); and referral-warranted DR was 91% (95% CI 86%-94%) and 89% (95% CI 56%-98%). The area under SROC curve ranged from 0.879 to 0.979. The diagnostic odds ratio ranged from 11.3 to 1225. CONCLUSIONS We found heterogeneous evidence showing that smartphone ophthalmoscopy performs well in detecting DR. The diagnostic accuracy for PDR was highest. Future studies should standardize reference criteria and classification criteria and evaluate other available forms of smartphone ophthalmoscopy in primary care settings.

scholarly journals Use of Smartphones to Detect Diabetic Retinopathy: Scoping Review and Meta-Analysis of Diagnostic Test Accuracy Studies

10.2196/16658 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16658
Author(s):  
Choon Han Tan ◽  
Bhone Myint Kyaw ◽  
Helen Smith ◽  
Colin S Tan ◽  
Lorainne Tudor Car
Keyword(s):  
Diabetic Retinopathy ◽  
Diagnostic Accuracy ◽  
Diagnostic Test ◽  
Sensitivity And Specificity ◽  
Meta Analysis ◽  
Diagnostic Test Accuracy ◽  
Fundus Photography ◽  
Diabetic Patients ◽  
Test Accuracy ◽  
Reference Standard

Background Diabetic retinopathy (DR), a common complication of diabetes mellitus, is the leading cause of impaired vision in adults worldwide. Smartphone ophthalmoscopy involves using a smartphone camera for digital retinal imaging. Utilizing smartphones to detect DR is potentially more affordable, accessible, and easier to use than conventional methods. Objective This study aimed to determine the diagnostic accuracy of various smartphone ophthalmoscopy approaches for detecting DR in diabetic patients. Methods We performed an electronic search on the Medical Literature Analysis and Retrieval System Online (MEDLINE), EMBASE, and Cochrane Library for literature published from January 2000 to November 2018. We included studies involving diabetic patients, which compared the diagnostic accuracy of smartphone ophthalmoscopy for detecting DR to an accurate or commonly employed reference standard, such as indirect ophthalmoscopy, slit-lamp biomicroscopy, and tabletop fundus photography. Two reviewers independently screened studies against the inclusion criteria, extracted data, and assessed the quality of included studies using the Quality Assessment of Diagnostic Accuracy Studies–2 tool, with disagreements resolved via consensus. Sensitivity and specificity were pooled using the random effects model. A summary receiver operating characteristic (SROC) curve was constructed. This review is reported in line with the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies guidelines. Results In all, nine studies involving 1430 participants were included. Most studies were of high quality, except one study with limited applicability because of its reference standard. The pooled sensitivity and specificity for detecting any DR was 87% (95% CI 74%-94%) and 94% (95% CI 81%-98%); mild nonproliferative DR (NPDR) was 39% (95% CI 10%-79%) and 95% (95% CI 91%-98%); moderate NPDR was 71% (95% CI 57%-81%) and 95% (95% CI 88%-98%); severe NPDR was 80% (95% CI 49%-94%) and 97% (95% CI 88%-99%); proliferative DR (PDR) was 92% (95% CI 79%-97%) and 99% (95% CI 96%-99%); diabetic macular edema was 79% (95% CI 63%-89%) and 93% (95% CI 82%-97%); and referral-warranted DR was 91% (95% CI 86%-94%) and 89% (95% CI 56%-98%). The area under SROC curve ranged from 0.879 to 0.979. The diagnostic odds ratio ranged from 11.3 to 1225. Conclusions We found heterogeneous evidence showing that smartphone ophthalmoscopy performs well in detecting DR. The diagnostic accuracy for PDR was highest. Future studies should standardize reference criteria and classification criteria and evaluate other available forms of smartphone ophthalmoscopy in primary care settings.

scholarly journals Prevalence of retinopathy in prediabetes: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e040997
Author(s):  
Varo Kirthi ◽  
Paul Nderitu ◽  
Uazman Alam ◽  
Jennifer Evans ◽  
Sarah Nevitt ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diabetic Retinopathy ◽  
Data Extraction ◽  
Meta Analysis ◽  
International Diabetes Federation ◽  
Current Data ◽  
Risk Of Bias ◽  
Fundus Photography ◽  
Primary Data ◽  
Cochrane Library

IntroductionThere is growing evidence of a higher than expected prevalence of retinopathy in prediabetes. This paper presents the protocol of a systematic review and meta-analysis of retinopathy in prediabetes. The aim of the review is to estimate the prevalence of retinopathy in prediabetes and to summarise the current data.Methods and analysisThis protocol is developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines. A comprehensive electronic bibliographic search will be conducted in MEDLINE, EMBASE, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Google Scholar and the Cochrane Library. Eligible studies will report prevalence data for retinopathy on fundus photography in adults with prediabetes. No time restrictions will be placed on the date of publication. Screening for eligible studies and data extraction will be conducted by two reviewers independently, using predefined inclusion criteria and prepiloted data extraction forms. Disagreements between the reviewers will be resolved by discussion, and if required, a third (senior) reviewer will arbitrate.The primary outcome is the prevalence of any standard features of diabetic retinopathy (DR) on fundus photography, as per International Clinical Diabetic Retinopathy Severity Scale (ICDRSS) classification. Secondary outcomes are the prevalence of (1) any retinal microvascular abnormalities on fundus photography that are not standard features of DR as per ICDRSS classification and (2) any macular microvascular abnormalities on fundus photography, including but not limited to the presence of macular exudates, microaneurysms and haemorrhages. Risk of bias for included studies will be assessed using a validated risk of bias tool for prevalence studies. Pooled estimates for the prespecified outcomes of interest will be calculated using random effects meta-analytic techniques. Heterogeneity will be assessed using the I2 statistic.Ethics and disseminationEthical approval is not required as this is a protocol for a systematic review and no primary data are to be collected. Findings will be disseminated through peer-reviewed publications and presentations at national and international meetings including Diabetes UK, European Association for the Study of Diabetes, American Diabetes Association and International Diabetes Federation conferences.PROSPERO registration numberCRD42020184820.

scholarly journals Diagnostic Test Accuracy of Diabetic Retinopathy Screening by Physician Graders Using a Hand-held Non-Mydriatic Retinal Camera at a Tertiary Level Medical Clinic

2019 ◽  
Author(s):  
Mapa Mudiyanselage Prabhath Nishantha Piyasena ◽  
Jennifer L.Y. Yip ◽  
David MacLeod ◽  
Min Kim ◽  
Venkata S. Murthy Gudlavalleti
Keyword(s):  
Diabetic Retinopathy ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Digital Camera ◽  
Diagnostic Test Accuracy ◽  
Test Accuracy ◽  
Medical Clinic ◽  
Middle Income ◽  
Diabetic Retinopathy Screening ◽  
Before And After

Abstract Background The evidence on diagnostic test accuracy (DTA) of diabetic retinopathy (DR) screening utilising photographic studies by non-ophthalmologist personnel in low and middle-income country (LMIC) settings is scarce. We aimed to assess DTA of DR screening using a nonmydriatic hand-held digital camera by trained general physicians in a non-ophthalmic setting. Methods This study is a validation of a screening intervention. We selected 700 people with diabetes (PwDM) > 18 years of age, not previously screened or treated for DR, presenting at a tertiary medical clinic in Sri Lanka. Two-field retinal imaging was used to capture fundus images before and after pupil dilatation, using a hand-held non-mydriatic (Visuscout 100®-Germany) digital retinal camera. The images were captured and graded by two trained, masked independent physician graders. The DTA of different levels of DR was assessed comparing physician’s grading with a retinologist’s clinical examination by mydriatic bio-microscopy, according to a locally adopted guideline. Results Seven hundred eligible PwDM were screened by physician graders. The mean age of participants was 60.8 years (SD ±10.08) and mean duration of DM was 9.9 years (SD ±8.09). Ungradable image proportion in non-mydriatic imaging was 43.4% (either eye-31.3%, both eyes 12.1%). This decreased to 12.8% (either eye-11.6%, both eyes-1.2%) following pupil dilatation. In comparison to detection of any level of DR, a referable level DR (moderate non-proliferative DR and levels above) showed a higher level of DTA. The sensitivity of the defined referable DR was 88.7% (95% CI 81.7-93.8%) for grader 1 (positive predictive value [PPV] 59.1%) and 92.5% (95% CI 86.4-96.5%) for grader 2 (PPV 68%), using mydriatic imaging, after including ungradable images as screen positives. The specificity was 94.9% (95% CI 93.6-96.0%) for grader 1 (negative predictive value [NPV] 99%) and 96.4% (95% CI 95.3-97.3%) for grader 2 (NPV 99.4%). Conclusions The Physicians grading of images from a digital hand-held non-mydriatic camera at a medical clinic, with dilatation of pupil of those who have ungradable images, provides a valid modality to identify referable level of DR. This could be a feasible alternative modality to the existing opportunistic screening to improve the access and coverage.

scholarly journals Diagnostic Test Accuracy of Diabetic Retinopathy Screening by Physician Graders Using a Hand Held Non-Mydriatic Retinal Camera at a Tertiary Level Medical Clinic in a Lower-Middle Income Country Setting

2018 ◽  
Author(s):  
Mapa Mudiyanselage Prabhath Nishantha Piyasena ◽  
Jennifer L.Y. Yip ◽  
David MacLeod ◽  
Min Kim ◽  
Venkata S. Murthy Gudlavalleti
Keyword(s):  
Diabetic Retinopathy ◽  
Sri Lanka ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Middle Income Country ◽  
Diagnostic Test Accuracy ◽  
Income Country ◽  
Test Accuracy ◽  
Medical Clinic ◽  
Middle Income

Abstract Background We identified that there was less evidence on diagnostic test accuracy (DTA) of diabetic retinopathy (DR) screening photographic studies that have used non-ophthalmologist human resources in low and middle-income country (LMIC) settings. This study is the first to assess the DTA of physician graders using hand held digital imaging in Sri Lanka. We aimed to assess DTA of DR screening using a nonmydriatic hand-held digital camera by trained general physicians in a non-ophthalmic setting. This modality will be useful for adaptation in similar settings. Methods This study is a validation of a screening intervention. We selected people with diabetes (PwDM) not previously screened or treated for DR, presenting at a tertiary medical clinic in Sri Lanka. Two-field retinal imaging was used to capture fundus images before and after pupil dilatation. The images were captured and graded by two trained, masked independent physician graders. The DTA of different levels of DR was assessed comparing physician’s grading with a retinologist’s clinical examination according to a locally adopted guideline. Results Seven hundred eligible PwDM were screened by physician graders. Their mean age was 60.8 years (SD ±10.08) and mean duration of DM was 9.9 years (SD ±8.09). Ungradable image proportion in non-mydriatic imaging was 43.4% (either eye-31.3%, both eyes 12.1%). This decreased to 12.8% (either eye-11.6%, both eyes-1.2%) following pupil dilatation. In comparison to detection of any level of DR, a referable level DR (moderate non-proliferative DR and levels above) showed a higher level of DTA. The sensitivity of the defined referable DR was 88.7% (95% CI 81.7-93.8%) for grader 1 (positive predictive value [PPV] 59.1%) and 92.5% (95% CI 86.4-96.5%) for grader 2 (PPV 68%), using mydriatic imaging, after including ungradable images as screen positives. The specificity was 94.9% (95% CI 93.6-96.0%) for grader 1 (negative predictive value [NPV] 99%) and 96.4% (95% CI 95.3-97.3%) for grader 2 (NPV 99.4%). Conclusions The Physicians grading of images from a digital hand-held nonmydriatic camera was effective in identifying referable DR, following pupil dilatation. This could be a feasible alternative modality to the existing opportunistic screening to improve the access and coverage.

scholarly journals A systematic review of brief screeners for suicidal behaviour in primary care

2019 ◽  
Author(s):  
Karoline Lukaschek ◽  
Milena Frank ◽  
Kathrin Halfter ◽  
Antonius Schneider ◽  
Jochen Gensichen
Keyword(s):  
Primary Care ◽  
Suicidal Ideation ◽  
Diagnostic Accuracy ◽  
Diagnostic Test ◽  
Suicidal Behaviour ◽  
Risk Of Bias ◽  
Diagnostic Test Accuracy ◽  
Cochrane Library ◽  
Test Accuracy ◽  
Index Tests

Abstract Background: As primary contacts, general practitioners can play a pivotal role in identifying suicidal behaviour in their patients. A brief instrument could help in identifying vulnerable patients. We summarized the available studies reporting diagnostic accuracy of short screening instruments for suicidal behaviour in primary care or the general population in a narrative synthesis. Methods: The databases MEDLINE, EMBASE, PsychINFO, PSYNDEX, and Cochrane Library were searched in January 2019 without any time constraints. Risk of bias and applicability concerns were assessed using the QUADAS-2 tool. The certainty of evidence was rated via GRADEpro. The authors followed the PRISMA extensions for Diagnostic Test Accuracy Studies. Results: We identified a total of 9 969 studies with our search strategy. After the selection process, six relevant studies fulfilled all criteria and were included. They used the following index tests: Kessler Psychological Distress Scale, Suicidal Ideation Screening Questionnaire, Suicidal Ideation Attributes Scale, Gate question suicide attempt, Gate question suicidal ideation, Feeling suicidal, Wishing you were dead, Thoughts of death and Patient-Health-Questionaire-9 - item 9. The diagnostic accuracy measurements sensitivity and specificity had a wide range (sensitivity: 26% - 100%, specificity: 64% - 99%). Risk of bias was rated moderate and concerns regarding applicability acceptable. A required sensitivity of at least 80% and specificity of 50% with a moderate to high GRADE rating was achieved by six of nine index tests. Conclusions: The identified studies were heterogeneous regarding sample size, index test and reference standard. Even though screening of suicidal behaviour in primary care is already recommended by several guidelines, there are only few screeners in primary care that have been examined regarding their diagnostic accuracy. Although they can assist GPs in their judgement of suicidal behaviour of patients at risk, the final assessment is always based on the clinical judgement of the attending physician. Further diagnostic test accuracy studies of promising short questionnaires are needed. Registration: The study protocol was registered at PROSPERO (ID: CRD42019122173).

scholarly journals HPV tests for cervical cancer screening in low resource settings: a protocol of a DTA systematic review

2020 ◽  
Author(s):  
Rana Magdi ◽  
Farida Elshafeey ◽  
Mohamed Elshebiny ◽  
Menna kamel ◽  
Yasmeen Gamal Abuelnaga ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Screening ◽  
Cervical Cancer Screening ◽  
Diagnostic Test ◽  
Diagnostic Test Accuracy ◽  
Cochrane Library ◽  
Test Accuracy ◽  
Low Resource Settings ◽  
Low Resource ◽  
Hpv Test

Background: Human Papillomavirus (HPV) tests for cervical cancer screening in low resource settings might improve early detection and preventive efforts. Objectives: To determine the diagnostic accuracy of HPV tests for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN 2+) in low resource settings.Search strategy: we will search the Cochrane library, MEDLINE, CINAHL, Web of Science, and Scopus. We will search references of relevant studies. Selection criteria: We will include diagnostic test accuracy studies if women had an HPV test for cervical cancer screening, followed by verification with colposcopy and colposcopy-directed biopsy. The primary target is CIN2+. Data collection and analysis: Two authors will independently screen studies, extract data, and assess methodological quality. We will use bivariate diagnostic random-effects meta-analysis.Results: This is the protocol of a diagnostic test accuracy systematic review.Conclusions: Evidence will aid in making well-informed decisions for cervical cancer screening in low resource settings. Implications for research will be outlined for future studies.

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