Trial reportWiener klinische Wochenschrift2016
Predictors of 1-year visual outcome in OCT analysis comparing ranibizumab monotherapy versus combination therapy with PDT in exsudative age-related macular degeneration.
Trial report in Wiener klinische Wochenschrift, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review.Eye (London, England) · 2023Pooled it
- Pooled it
- Comparative Effectiveness of Intravitreal Anti-Vascular Endothelial Growth Factor Therapies for Managing Neovascular Age-Related Macular Degeneration: A Meta-Analysis.Journal of clinical medicine · 2022Article
- Efficacy and Safety of Anti-Vascular Endothelial Growth Factor Monotherapies for Neovascular Age-Related Macular Degeneration: A Mixed Treatment Comparison.Frontiers in pharmacology · 2021Article
- Epidemiological and Clinical Baseline Characteristics as Predictive Biomarkers of Response to Anti-VEGF Treatment in Patients with Neovascular AMD.Journal of ophthalmology · 2016Review
- Structural and Functional Outcomes in Chronic Central Serous Chorioretinopathy Treated with Photodynamic Therapy.Korean journal of ophthalmology : KJO · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe aim of this study was to find predictive factors of 1-year visual outcome, analyzing novel optical coherence tomography (OCT) biomarkers in exsudative age-related macular degeneration (choroidal neovascularization (CNV)) in two groups of different treatment modalities.
methodsIn all, 34 consecutive patients with new-onset CNV were randomized 1:1 to receive either ranibizumab monotherapy or ranibizumab combined with photodynamic therapy (PDT) with verteporfin. After three initial injections with ranibizumab, re-treatment was performed according to an as-needed scheme; PDT was performed once at baseline. Best-corrected visual acuity (BCVA) and OCT parameters like central macular volume (CMV), central macular thickness (or central retinal thickness (CRT)), subretinal and intraretinal fluid, fibrovascular lesion thickness, or inner segment/outer segment (IS/OS) junction were analyzed.
resultsAfter 12 months, a visual gain of 6.1 letters was found in the monotherapy group, whereas patients in the combination therapy group lost - 4.8 letters from baseline to the 12-month visit. CMV and CRT decreased considerably between baseline and month 2-3 in both groups, with a following slight increase until month 12. Additional application of PDT had negative effect to 12-month BCVA, whereas higher baseline BCVA and integrity of the IS/OS junction at month 12 had positive effect to 12-month BCVA.
conclusionsBetter baseline BCVA and the integrity of IS/OS junction at 12-month visit were the most important predictive factors for final BCVA. Combination therapy caused worse final BCVA and a higher degree of IS/OS disruption.
Indexed as
Identifiers
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Registered trials
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.