SynthesisThe Cochrane database of systematic reviews2011
Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.
Synthesis in The Cochrane database of systematic reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Fundus autofluorescence imaging: systematic review of test accuracy for the diagnosis and monitoring of retinal conditions.Eye (London, England) · 2017Pooled it
- Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.The Cochrane database of systematic reviews · 2015Pooled it
- Trial
- Comparing the effectiveness of telemedicine and traditional surveillance in providing diabetic retinopathy screening examinations: a randomized controlled trial.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2013Trial
- Correlation between Humphrey Field Analyser perimetric outcomes and macular thickness in diabetic retinopathy patients, diabetic individuals without retinopathy, and control subjects in Trinidad and Tobago.BMC research notes · 2026Article
- Artificial Intelligence in Diabetic Retinopathy and Diabetic Macular Edema: A Narrative Review.Bioengineering (Basel, Switzerland) · 2025Review
- Diabetic Eye Screening: Evaluation and Comparison of the Grading Results Between Community and Hospital Eye Services.Clinical optometry · 2025Article
- The OSCAR-MP Consensus Criteria for Quality Assessment of Retinal Optical Coherence Tomography Angiography.Neurology(R) neuroimmunology & neuroinflammation · 2023Review
- Interleaved Optical Coherence Tomography: Clinical and Laboratory Biomarkers in Patients with Diabetic Macular Edema.Journal of personalized medicine · 2022Article
- Relationship Between Risk Factors and Macular Thickness in Patients with Early Diabetic Retinopathy.International journal of general medicine · 2022Article
- Clinical Outcome and Drug Expenses of Intravitreal Therapy for Diabetic Macular Edema: A Retrospective Study in Sardinia, Italy.Journal of clinical medicine · 2021Article
- Increased serum cortisol is associated with alterations in cross-sectional and topographic OCT parameters in diabetic retinopathy: a preliminary study.International ophthalmology · 2021Article
- Elevated advanced glycation end products are associated with subfoveal ellipsoid zone disruption in diabetic macular edema.Indian journal of ophthalmology · 2021Article
- Markedly decreasing incidence of cause-specific blindness in Saxony (Eastern Germany).Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021Review
- Vessel Density Changes on Optical Coherence Tomography Angiography after Vascular Endothelial Growth Factor Inhibitor Treatment for Diabetic Macular Edema.Turkish journal of ophthalmology · 2020Article
- QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY.Retina (Philadelphia, Pa.) · 2020Article
- Profile of a population-based diabetic macular oedema study: the Liverpool Eye and Diabetes Study (Sydney).BMJ open · 2019Observational
- Resistive index of central retinal artery is a bioimaging biomarker for severity of diabetic retinopathy.International journal of retina and vitreous · 2019Article
- Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.NPJ digital medicine · 2019Article
- Optical coherence tomography patterns of diabetic macular edema in a Saudi population.Clinical ophthalmology (Auckland, N.Z.) · 2019Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic macular oedema (DMO) is a thickening of the central retina, or the macula, and is associated with long-term visual loss in people with diabetic retinopathy (DR). Clinically significant macular oedema (CSMO) is the most severe form of DMO. Almost 30 years ago, the Early Treatment Diabetic Retinopathy Study (ETDRS) found that CSMO, diagnosed by means of stereoscopic fundus photography, leads to moderate visual loss in one of four people within three years. It also showed that grid or focal laser photocoagulation to the macula halves this risk. Recently, intravitreal injection of antiangiogenic drugs has been investigated to try to improve vision in people with macular oedema due to DR.Optical coherence tomography (OCT) is based on optical reflectivity and is able to image retinal thickness and structure producing cross-sectional and three-dimensional images of the central retina. It is already widely used because it provides objective and quantitative assessment of macular oedema unlike the subjectivity of fundus biomicroscopic assessment, which is routinely used by ophthalmologists instead of photography. Optical coherence tomography is also used for quantitative follow up of the effects of treatment of CSMO. Disadvantages of using OCT are the cost to purchase it and the need for trained personnel to perform the examinations.
objectivesTo determine the diagnostic accuracy of OCT for detecting macular oedema in people with DR. A secondary objective is to compare the diagnostic accuracy by study-specific characteristics, such as factors related to methodology, patients or OCT. SEARCH STRATEGY: We searched the Cochrane Database of Systematic Reviews (CDSR), the Database of Abstracts of Reviews of Effects (DARE), the Health Technology Assessment Database (HTA) and the NHS Economic Evaluation Database (NHSEED) (The Cochrane Library 2011, Issue 5), MEDLINE (January 1950 to May 2011), EMBASE (January 1950 to May 2011), ISI Web of Science (January 1970 to May 2011), BIOSIS Previews (January 1969 to May 2011), MEDION and the Aggressive Research Intelligence Facility database (ARIF). There were no date or language restrictions in the electronic search for trials. The electronic databases were last searched on 16 May 2011. We checked bibliographies of relevant studies for additional references. SELECTION CRITERIA: We selected studies that assessed the diagnostic accuracy of any OCT model for detecting DMO or CSMO in patients with DR who were referred to eye clinics. Diabetic macular oedema and CSMO were diagnosed by means of fundus biomicroscopy by ophthalmologists or stereophotography by ophthalmologists or other trained personnel. DATA COLLECTION AND ANALYSIS: Three authors independently extracted data on study characteristics and measures of accuracy. We assessed data using random-effects hierarchical sROC meta-analysis models. MAIN
resultsNine studies (768 participants, 1325 eyes) were included. Prevalence of CSMO was 19% to 65% (median 50%). Study quality was good for half the QUADAS items, whereas unclear or inadequate quality was found in some studies regarding selection criteria, index and reference test masking (blinding), availability of clinical information, uninterpretable results and withdrawals. There was a specific 'unit of analysis' issue because both eyes of the majority of participants were included in the analyses as if they were independent.Central CSMO was the target condition in all but one study and thus our results cannot be applied to non-central CSMO. In eight studies providing data on CSMO (697 participants, 1241 eyes), pooled sensitivity was 0.78 (95% confidence interval (CI) 0.72 to 0.83) and specificity was 0.86 (95% CI 0.76 to 0.93). The median central retinal thickness cut-off we selected for data extraction was 250 µm (range 230 µm to 300 µm).Data from three studies reporting accuracy for detection of DMO (180 participants, 343 eyes) were not pooled. Sensitivities and specificities were about 0.80 in two studies and were both 1.00 in the third study. AUTHORS'
conclusionsCentral retinal thickness measured with OCT cannot be used as a stand-alone test to diagnose the central type of CSMO and decide on the use of laser photocoagulation in patients who are referred to retina clinics. In fact, there is a substantial disagreement of OCT with the ETDRS definition of CSMO based on clinical examination. Some researchers have observed that OCT can detect macular thickening earlier than clinical examination, but also found that such cases did not necessarily progress to CSMO and need photocoagulation.Care should be taken in applying the conclusions of this review to other test-treatment pathways. In fact, OCT will become an essential tool to manage antiangiogenic therapy, an expanding therapeutic option for patients with macular oedema due to DR, because OCT is a component of the diagnostic algorithms of studies on this new treatment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.