SynthesisFrontiers in medicine2022
Diagnostic Value of Spectral-Domain Optical Coherence Tomography for Polypoidal Choroidal Vasculopathy: A Systematic Review and Meta-Analysis.
Synthesis in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 2 citations in OpenAlex.
- Prevalence of Polypoidal Choroidal Vasculopathy Beyond Recalcitrant Macular Neovasculopathies in a European AMD Cohort and Therapeutic Response to Brolucizumab.Journal of clinical medicine · 2026Article
- Polypoidal choroidal vasculopathy with an exceptionally elevated pigment epithelial detachment.American journal of ophthalmology case reports · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Purpose: To evaluate the diagnostic value of spectral-domain optical coherence tomography (SD-OCT) for polypoidal choroidal vasculopathy (PCV). Methods: A search of electronic databases was conducted from 2010 to 2021 to review the relevant literature on SD-OCT to identify PCV and other lesions causing serious or serosanguinous retinal pigment epithelial detachment (PED), specifically neovascular age-related macular degeneration (nvAMD). The QUADAS-2 scale was used to evaluate the quality of the literature. We performed a meta-analysis, including heterogeneity tests, analyze and synthesize the study data, meta-regression analysis, subgroup analysis, Fagan's plot, sensitivity analysis and publication bias tests. Results: A total of 12 related studies involving 1,348 eyes were included in this study, and the random-effects model was used for meta-analysis. The results showed that the pooled sensitivity of SD-OCT in the diagnosis of PCV was 0.87 (95% CI: 0.84-0.89), the pooled specificity was 0.83 (95% CI: 0.80-0.86), and the pooled positive/negative likelihood ratios were 5.38 (95% CI: 3.28-8.80) and 0.16 (95% CI: 0.10-0.25), respectively. The diagnostic odds ratio (DOR) was 36.07 (95% CI: 15.98-81.40), and the area under the sROC curve (AUC) was 0.9429. When the pre-test probability was set at 20%, the post-test positive and negative probabilities were 58% and 4%, respectively. Meta-regression indicated that race was the primary source of heterogeneity (P <0.05). The Deeks' funnel plot showed no significant publication bias in this study (P>0.05). Conclusion: SD-OCT has high sensitivity and specificity for the diagnosis of PCV, as well as significant clinical applicability. Since color fundus photography (CFP) is more clinically available and can improve the diagnostic efficacy, we recommend SD-OCT combined with CFP to diagnose PCV, especially without indocyanine green angiography (ICGA). Systematic Review Registration: https://inplasy.com/inplasy-2021-12-0048/, identifier: INPLASY2021120048.
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